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547,040,456 | 2020-09-02 | 74,852,066 | N | The present invention relates to an apparatus for hierarchically diagnosing brain atrophy disease on the basis of brain thickness information. The apparatus may comprise: a brain structure modeling unit for generating a gray matter surface mesh and a white matter surface mesh by mesh-modelling a plurality of MRI images; a brain thickness extraction unit for collecting and analyzing the distance between corresponding points of the gray matter surface mesh and the white matter surface mesh so as to acquire brain thickness information; a learning data generation unit for generating and storing a plurality of pieces of learning data including brain thickness information and diagnosis information when a diagnosis model learning is requested; a diagnosis model learning unit for classifying the brain thickness information into groups having a hierarchical structure according to the diagnosis information and acquiring group-specific feature information through analysis thereof, the diagnosis model learning unit generating and learning a hierarchical classifier by reflecting the group hierarchical structure and the group-specific feature information; and a brain atrophy disease diagnosis unit for acquiring new brain thickness information when a new MRI image of a person to be diagnosed is input, and then hierarchically identifying and reporting the type of brain atrophy disease corresponding to the new thickness information through the hierarchical classifier. | en | APPARATUS FOR HIERARCHICALLY DIAGNOSING BRAIN ATROPHY DISEASE ON BASIS OF BRAIN THICKNESS INFORMATION | 64807294_KR,63985388_KR | 65203215_KR,67362799_KR,67362669_KR | A61B 5/00,A61B 5/055,A61B 5/4088,A61B 5/7275,G06N 20/00,G16H 50/20 | [
"G16H 50/20",
"A61B 5/055",
"A61B 5/00",
"G06N 20/00"
] | 150,880 |
554,804,104 | 2021-06-08 | 75,312,984 | N | The invention provides a coronary heart disease electrocardiogram screening system based on a residual neural network, and the system comprises an electrocardiosignal processing module which is used for extracting electrocardiosignals generated by an electrocardiograph, carrying out the multi-layer decomposition and noise reduction of the electrocardiosignals through employing a symlets4 wavelet, searching the position of an R wave in electrocardiosignal sequence data converted from the electrocardiosignals, and carrying out the heart beat segmentation based on the position of the R wave; a depth feature extraction module which is used for performing translation and scaling on the data processed by the electrocardiosignal processing module to enhance the data, and extracting the depth features of the twelve-lead electrocardiogram by using a ResneXt50 network comprising an extrusion and excitation network module; and a tree model prediction module which is used for combining the depth features extracted by the depth feature extraction module with electrocardiograph data, and inputting the trained XGBoost model to obtain the prediction probability of the coronary heart disease electrocardio features in the electrocardiogram. The system is low in installation and use cost, can achieve automatic screening, is higher in accuracy compared with diagnosis of an electrocardiograph, can reduce misjudgment or missed judgment, and reduces the workload of doctors. | en | Coronary heart disease electrocardiogram screening system and method based on residual neural network | 60089729_ | 59090138_,75276254_,59351536_,61938599_ | A61B 5/72,A61B 5/7203,A61B 5/7221,A61B 5/726,A61B 5/7275 | [
"A61B 5/355",
"A61B 5/352",
"A61B 5/349"
] | 155,983 |
496,339,776 | 2017-01-30 | 62,630,553 | Y | Systems and methods for utilizing user-verified data for training confidence level models. An example method comprises: receiving a first attribute value and a second attribute value associated with an information object representing an entity referenced by a natural language text; receiving a first confidence level associated with the first attribute value and a second confidence level associated with the second attribute value; responsive to determining that the first confidence level falls below a threshold confidence value, displaying the first attribute value using a verification graphical user interface; responsive to receiving, via the verification graphical user interface, a first input verifying the first attribute value, performing at least one of: increasing the first confidence level by a first pre-defined value or setting the first confidence level to a second pre-defined value; displaying the second attribute value using the verification graphical user interface; and responsive to failing to receive, before a triggering event, via the verification graphical user interface, a second input verifying the second attribute value, performing at least one of: increasing the second confidence level by a third pre-defined value or setting the second confidence level to a fourth pre-defined value, wherein the third pre-defined value is less than the first pre-defined value and the fourth pre-defined value is less than the second pre-defined value. | en | Verification of information object attributes | 45352084_RU | 56949001_RU,56918229_RU | G06F 16/313,G06F 40/268,G06F 40/284,G06F 40/289,G06F 40/30,G06N 5/027,G06N 20/00 | [
"G06N 20/00",
"G06F 40/30",
"G06F 16/31",
"G06N 99/00",
"G06F 40/289",
"G06F 17/30",
"G06F 40/284",
"G06F 16/00",
"G06F 40/268"
] | 118,783 |
482,010,209 | 2016-11-04 | 56,246,715 | N | The method is applicable to hyperspectral remote sensing image classification. Provided is a hyperspectral remote sensing image classification method based on three-dimensional Gabor feature selection, comprising the steps of: A, generating a three-dimensional Gabor filter according to set frequency and direction parameter values (S1); B, carrying out a convolution operation on a hyperspectral remote sensing image and the three-dimensional Gabor filter to obtain three-dimensional Gabor features (S2); C, selecting, from the three-dimensional Gabor features, several three-dimensional Gabor features with contributions thereof to various classifications satisfying a requirement (S3); and D, classifying the hyperspectral remote sensing image by means of a multi-task sparse classification method using the selected three-dimensional Gabor features (S4). The method is based on three-dimensional Gabor features, and the adopted three-dimensional Gabor features contain rich local change information, and the features have strong capability of expression; the three-dimensional Gabor features are selected by means of a Fisher discrimination criterion, thus making full use of high-level semantics hidden between features, removing redundant information and reducing the time complexity in classification; furthermore, sparse encoding is performed, and three-dimensional Gabor features and multiple tasks are combined, thus greatly improving the classification precision. | en | HYPERSPECTRAL REMOTE SENSING IMAGE CLASSIFICATION METHOD AND SYSTEM BASED ON THREE-DIMENSIONAL GABOR FEATURE SELECTION | 63746539_CN | 68334751_CN,67313773_CN,68305603_CN,64521372_CN | G06F 17/18,G06K 9/6228,G06K 9/6234,G06K 9/6267,G06K 9/6271,G06V 10/40,G06V 10/449,G06V 10/58,G06V 10/771,G06V 10/7715,G06V 20/13,G06V 20/194,G06V 20/64 | [
"G06K 9/00"
] | 110,633 |
49,530,464 | 1994-11-28 | 10,981,651 | Y | PCT No. PCT/HU93/00006 Sec. 371 Date Nov. 28, 1994 Sec. 102(e) Date Nov. 28, 1994 PCT Filed Feb. 8, 1993 PCT Pub. No. WO93/19665 PCT Pub. Date Oct. 14, 1993A method and apparatus diagnose a circulation disorder in a patient, and in particular, predict whether a patient is likely to suffer a stroke. The diagnosis is made based on a patient's responses to questions regarding whether the patient has experienced symptoms of a neurological disorder, and based on sensed electrical brain activity and sensed blood pulse activity. The pulse measurements may be taken at the patient's head, and/or at the patient's arms and/or legs. The diagnosis may be based upon a comparison of the patient's electrical brain activity on the right and left sides of the patient's brain, and on a comparison of the pulse activity on the right and left sides of the patient's head, arms and legs. The diagnosis may also be based on the patient's electrical heart activity. The diagnosis may further be based on the results of a stress test that measures the patient's blood pressure, pulse rate and anxiety level. Such a stress test may be performed before and/or after the patient's electrical brain activity, blood pulse activity and electrical heart activity have been measured. The diagnosis may also be based on whether the patient exhibits one or more arteriosclerosis risk factors and based on patient data such as age, weight, height, sex, blood cholesterol level and blood sugar level. | en | Process and equipment for diagnosing circulation (cerebrovascular) disorders | 7503741_US | 7503742_HU,7503744_HU,7503743_HU,7503745_HU,7100440_HU | A61B 5/0002,A61B 5/0205,A61B 5/4884 | [
"A61B 5/0205",
"A61B 5/00"
] | 38,930 |
437,941,725 | 2014-09-03 | 52,583,740 | N | Method and system for treating emotional and behavioural disorder are disclosed. The method includes using a sensor to obtain physiological data pertaining to physiological responses of a user to an emotionally loaded sentence, to emotions from the list of emotions, chronological periods from a list of chronological periods in the user's life, and to causes from a list of causes that may have led to the absorption of determined emotion during the determined chronological period in the user's life. The method includes determining from the physiological response which emotion has the greatest emotional effect on the user, at what chronological period it was absorbed by the user and what was the cause. The method also includes presenting to the user with information associating the determined emotion, the determined chronological period and the determined cause. The method further includes using the sensor to obtain physiological data pertaining to the physiological response of the user to the emotionally loaded sentence the user is exposed to at a second instance, and determining a result of the treatment based on analysing and comparing the physiological data pertaining to the physiological response of the user to the emotionally loaded sentence the user was exposed to at the first instance with the physiological data pertaining to the physiological response of the user to the emotionally loaded sentence the user was exposed to at the second instance. | en | SYSTEM AND METHOD FOR TREATMENT OF EMOTIONAL AND BEHAVIORAL DISORDERS | 50349958_IL,50479717_IL | 50349958_IL,50479717_IL | G09B 19/00,G09B 23/28 | [
"G06Q 50/22",
"G10L 17/26",
"G10L 15/00",
"G10L 17/00",
"A61B 5/16"
] | 92,245 |
564,566,099 | 2021-11-05 | 79,469,255 | N | The invention discloses a method for extracting space-time feature vectors of individuals and finely classifying subjects, and belongs to the field of biomedical signal processing. According to the method, a high-dimensional coupling relation contained in a kernel tensor obtained through Tucker decomposition of multi-subject fMRI data in the form of 'space voxel * time * subject' is fully mined, aiming at the kernel tensor obtained through a space sparse constraint Tucker decomposition method, an extraction method of space-time feature vectors of each subject is provided, and the space-time feature vectors are used for k-means subject fine classification. In individual space-time feature vector extraction and subject fine classification of task state fMRI data of ten healthy subjects, according to a spatial feature matrix corresponding to DMN components, all subjects are divided into two groups, and the average activated voxel number of an IPL region in spatial activation of each subject in the group 1 is 109% more than that in the group 2; all subjects are divided into two groups according to the time characteristic matrix corresponding to the task related components, and the average correlation coefficient of the task state time process of the group 1 and the reference components is 55.6% higher than that of the group 2. The individual space-time differences can provide a new objective basis for brain function research and brain disease diagnosis. | en | Method for extracting space-time feature vectors of individuals and finely classifying subjects | 59074494_ | 65975875_,65041600_ | A61B 5/0042,A61B 5/055,A61B 5/4064,A61B 5/7264,A61B2576/026,G06K 9/6223 | [
"G06V 10/762",
"G06V 20/69",
"A61B 5/00",
"G06V 10/25",
"A61B 5/055",
"G06K 9/62"
] | 162,278 |
52,787,097 | 2000-10-17 | 26,857,852 | Y | A method and apparatus for performing optical coherence tomography using a wavelength multiplexed source is provided. The single output beam of the source is of a large bandwidth, thus providing a high resolution tomography system. In order to achieve high contrast as well, the wavelength multiplexed source has minimal wavelength separation between spectrally adjacent lasers and has an output beam with an approximately Gaussian spectral shape. The source is preferably comprised of one or more multi-gain element arrays multiplexed together within a single external resonator cavity. Interposed between the array and the resonator cavity output coupler are a collimating element and a diffraction grating. The collimating element can be a refractive optic, a reflective optic, or, for some applications, a ¼ pitch GRIN lens. The diffraction grating can either be transmissive or reflective. The combination of the diffraction grating and the collimating element forces each emitter within the array to lase at a distinct wavelength. In order to achieve an overall bandwidth greater than the gain bandwidth of a single emitter array, either multiple arrays of differing center wavelength are packaged together or a large array is used with a laterally varying quantum well thickness or epitaxy. An intracavity spatial filter can be used to improve the beam quality and reduce cross-talk. An optical coherence tomography imaging system is coupled to the resonator cavity. | en | Method and apparatus for optical coherence tomography with a multispectral laser source | 5620512_US | 5620514_US,9530696_US | G01N 21/4795,H01S 5/005,H01S 5/4031 | [
"H01S 5/00",
"H01S 5/40",
"G01N 21/47"
] | 44,692 |
564,109,412 | 2021-06-18 | 79,178,813 | N | The present invention relates to a device for evaluating an earth gravity sensing function on the basis of virtual/augmented reality and a multi-biosignal sensor, the device comprising: a head-mounted display device mounted on the head of a subject so as to reproduce a test screen on which a target object is displayed at the center of the screen; a biosignal measurement device comprising an eye tracker for sensing the size of the subject's pupil, and a posture measurement device which infers a value of the subject's posture by using multiple inertia measurement sensors and then acquires and outputs a position control value corresponding to the value of the subject's posture; a human interface device for acquiring and outputting a position control value manually input by the subject; and a control device for analyzing, after the test screen is generated and provided, the acquired control value through a comparison between same and a predetermined target position value to acquire and provide an earth gravity sensing error value while additionally acquiring and providing a required amount of sensing ability on the basis of the size of the subject's pupil, wherein the biosignal measurement device further comprises a brain-wave measurement device for measuring a cranial nerve system reaction of the subject and additionally calculating a change in the cranial nerve system and a required amount of sensing ability for each person according to a test mode. | en | DEVICE FOR TESTING EARTH GRAVITY SENSING FUNCTION ON BASIS OF VIRTUAL/AUGMENTED REALITY INTERFACE AND BIOSIGNAL MEASUREMENT DEVICE | 64807294_KR | 79123867_KR | A61B 3/11,A61B 3/112,A61B 3/113,A61B 5/00,A61B 5/11,A61B 5/1116,A61B 5/4023,A61B 5/6803,G02B 27/01,G02B 27/017 | [
"G02B 27/01",
"A61B 5/00",
"A61B 5/11",
"A61B 3/113",
"A61B 3/11"
] | 162,010 |
40,631,683 | 2003-10-20 | 32,069,964 | Y | PURPOSE: The use of a neuronal sodium channel antagonist is provided. The composition is effective in the prevention, amelioration or control of external parasites on a human or animal by the administration of a prophylactically, therapeutically or pharmaceutically effective amount thereof to the human or animal in need thereof. CONSTITUTION: The neuronal sodium channel antagonist is a compound of formula 1, 2 or 3 or its stereoisomer. In formula, A is CR4R5 or NR6, W is 0 or S, X,Y,Z,X',Y' and Z' are each independently H; halogen; OH;CN;NO2; C1-6 alkyl optionally substituted with one or more halogens, C1-3 alkoxy, C1-3 haloalkoxy, C3-6 cycloalkyl, C2-6 alkenyloxy or sulfonyloxy groups; C1-6 alkoxy optionally substituted with one or more halogens, C1-3 alkoxy or C3-6 cycloalkyl groups; C1-6 alkoxycarbonyl optionally substituted with one or more halogens, C1-4 alkyl or C1-3 alkoxy groups, C3-6 cycloalkylcarbonyloxy, phenyl; aminocarbonyloxy optionally substituted with one or more C1-3 alkyl groups; C1-6 alkoxycarbonyloxy; C1-6 alkoxycarbonyloxy; C1-6 alkylsulfonyloxy; C2-6 alkenyl; or NR12R13, the remaining is defined in the specification. A composition for the control of ectoparasites in homeothermic animals contains about 20% w/v of a neuronal sodium channel antagonist of formula 1a, about 10% w/v of amitraz of diethyl toluamide as a pharmaceutically acceptable carrier, about 20% by weight of isopropyl myristate and about 10% by weight of cineol. | en | Use of neuronal sodium channel antagonists for the control of ectoparasites in homeothermic animals | 5221259_ | 32370499_,32370498_,30635608_ | A01N 47/34,A01N 47/38,A01N 61/00,A61K 31/17,A61K 31/5395,A61P 33/00,A61P 33/14,A61P 43/00 | [
"A01N 47/38",
"A61K 31/166",
"A61K 31/5395",
"A61K 31/4245",
"A61P 43/00",
"A61K 31/66",
"A01N 47/30",
"A61K 31/365",
"A61K 31/50",
"A61K 45/06",
"A01N 25/02",
"A61K 47/16",
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"A01N 43/56",
"A01N 37/18",
"A01N 53/08",
"A61K 31/175",
"A61K 31/17",
"A61K 31/7048",
"A01N 61/00",
"A61K 31/415"
] | 26,339 |
8,316,729 | 2005-04-14 | 35,242,324 | Y | A mobile brain-based device BBD includes a mobile base equipped with sensors and effectors (Neurally Organized Mobile Adaptive Device or NOMAD), which is guided by a simulated nervous system that is an analogue of cortical and sub-cortical areas of the brain required for visual processing, decision-making, reward, and motor responses. These simulated cortical and sub-cortical areas are reentrantly connected and each area contains neuronal units representing both the mean activity level and the relative timing of the activity of groups of neurons. The brain-based device BBD learns to discriminate among multiple objects with shared visual features, and associated ''target'' objects with innately preferred auditory cues. Globally distributed neuronal circuits that correspond to distinct objects in the visual field of NOMAD 10 are activated. These circuits, which are constrained by a reentrant neuroanatomy and modulated by behavior and synaptic plasticity, result in successful discrimination of objects. The brain-based device BBD is moveable, in a rich real-world environment involving continual changes in the size and location of visual stimuli due to self-generated or autonomous, movement, and shows that reentrant connectivity and dynamic synchronization provide an effective mechanism for binding the features of visual objects so as to reorganize object features such as color, shape and motion while distinguishing distinct objects in the environment. | en | Mobile brain-based device for use in a real world environment | 20030080_ | 20030082_,20030084_,20030081_,20030083_ | G06F 3/015,G06K 9/629,G06N 3/004,G06N 3/049,G06N 3/063,G06N 20/00,G06V 10/806,G16H 50/50 | [
"G06N 3/067",
"G06F 3/01",
"G05B 17/00",
"G06N 3/06",
"G06K 9/62",
"G06N 3/02",
"G06N 3/00",
"G06N 3/08",
"G06F 19/00"
] | 10,593 |
55,749,071 | 2008-05-22 | 34,798,384 | Y | A remotely-alterable electronic-ink based display device employing an addressable display assembly including a layer of electronic ink including a bi-stable non-volatile imaging material. The device includes an integrated circuit structure having a storage element for storing instructions, programs and data, and a programmed processor in electrical communication with the addressable display assembly and an antenna structure. A signal transmitting structure transmits signals from the antenna structure to the remote activator module. A signal receiving structure receives electromagnetic signals from the remote activator module, using the antenna structure. An on-board battery power structure, operably connected to the integrated circuit structure, supplies electrical power the integrated circuit structure, which is responsive to electromagnetic signals received from the remote activator module by the antenna structure and the signal receiving structure. The addressable display assembly is responsive to output signals generated by the programmed processor, to display the determined graphical indicia. The antenna structure, integrated circuit structure, signal transmitting structure, signal receiving structure, on-board battery power structure are arranged and stacked together behind and within the spatial extent of the addressable display assembly so as to form the remotely-alterable electronic-ink based display device having a stacked construction. | en | Remotely-alterable electronic-ink based display device employing an electronic-ink layer integrated within a stacked architecture | 7918738_US,5335515_US | 7918738_US | G06F 3/1454,G06F 3/147,G06Q 30/06,G09F 3/02,G09F 9/372,G09G 3/344,G09G2300/023,G09G2370/16,G09G2380/04 | [
"G06K 19/06",
"G06F 3/14",
"G09G 3/34",
"G06K 7/08",
"G01S 19/48",
"G06F 3/147"
] | 53,790 |
16,410,132 | 2007-09-14 | 38,829,582 | N | A Statistical Language Model (SLM) that can be used in an ASR for Interactive Voice Response (IVR) systems in general and Natural Language Speech Applications (NLSAs) in particular can be created by first manually producing a brief description in text for each task that can be performed in an NLSA. These brief descriptions are then analyzed, in one embodiment, to generate spontaneous speech utterances based pre-filler patterns and a skeletal set of content words. The pre-filler patterns are in turn used with Part-of-Speech (POS) tagged conversations from a spontaneous speech corpus to generate a set of pre-filler phrases. The skeletal set of content words is used with an electronic lexico-semantic database and with a thesaurus-based content word extraction process to generate a more extensive list of content words. The pre-filler phrases and content words set, thus generated, are combined into utterances using a lexico-semantic resource based process. In one embodiment, a lexico-semantic statistical validation process is used to correct and/or add the automatically generated utterances to the database of expected utterances. The system requires a minimum amount of human intervention and no prior knowledge regarding the expected user utterances, and the WWW is used to validate the word models. The system requires a minimum amount of human intervention and no prior knowledge regarding the expected user utterances in response to a particular prompt. | en | Automatic generation of statistical laguage models for interactive voice response applacation | 40698_US,84712_US | 2190774_US,2190775_US | G10L 15/1815,G10L 15/183,G10L 15/197,G10L2015/0638 | [
"G10L 15/18",
"G10L 15/22"
] | 17,214 |
267,497,131 | 2007-11-20 | 39,430,134 | Y | A method, signal processor, device, and system for estimating a parametric or functional image 47 mapping a biological process on the basis of a limited or incomplete sequence of biological process images 40 recorded as a function of time, e.g. by a PET or SPECT scanner after injection of a radio tracer. One or more kinetic parameters 43 are first extracted by applying a pharmacokinetic model 42 (compartmental model of the underlying tracer kinetics) to the sequence of biological process images 40. Additional data 41 are used in the model, comprising at least a predetermined kinetic parameter range (e.g. from the literature), and optionally an input function or a blood clearance function. Next, an iterative algorithm 44 is applied to arrive at a modified sequence of images 45, e.g. by inserting an estimated image into the incomplete sequence of images, utilizing the one or more kinetic parameters 43. After a stop criterion has been fulfilled, the resulting image 47 is finally estimated 46 from the modified sequence of images 45. The method can be used e.g. to estimate a hypoxia parameter k3 image in the case of a FMISO data set where only late-time images are available. The method may be implemented as part of existing PET, SPECT, CT, MR or Ultrasound scanner software, and since only a limited amount of late time post injection images are necessary to provide a reliable result, the method helps to increase patient comfort and clinical throughput. | en | Method, signal processor, device, and system for estimating image mapping biological process | 5492499_ | 40208238_ | A61B 6/037,A61B 6/507,G06T 7/0016,G06T 7/246,G06T2207/10072,G06T2207/30004 | [
"G06T 7/00"
] | 58,102 |
442,251,530 | 2012-05-14 | 47,175,527 | Y | FIELD: medicine.SUBSTANCE: invention relates to sports medicine. For control of data reflecting state of health and user activity following steps are implemented: capturing of image containing set of pixels of training device display; obtaining of image data from storage device from said image; comparison of image data with at least one other image to determine manufacturer and model of training device; automatic selection of field of parameters of user’s physical activity; identification of sequence of symbols in specific area of pixels; determination of spatial relationships between sequences only in specific area of pixels; production of one or more units of measurement data; determination of spent calories; generation of data; updating of stored profile associated with user; obtaining and storing plurality of user’s primary medical parameters; use of weight coefficient, calculation of at least one weighted primary parameter; conversion of calories to metabolic equivalent; assignment of values of metabolic equivalent between health and bonus pool; calculation of weighted values of health pool; conversion of medical parameters to coded composite numerical value; publication of specified value for user by means of portal, made with possibility of access to it via internet; provision for user with viewing of specified numeric values.EFFECT: method enables to accurately evaluate state of health and different physical activity of user.10 cl, 18 dwg | en | CAPTURING OF OPTICAL DATA ON EXERCISES IN ADDITION TO CALCULATION OF ASSESSMENT OF HEALTH | 63545349_CH | 63561502_CH,64207930_CH | A63B2220/05,A63B2220/807,G06F 19/3481,G16H 10/60,G16H 15/00,G16H 20/30,G16H 50/30,G16Z 99/00 | [
"G16H 10/60",
"G06F 19/00"
] | 94,486 |
564,797,808 | 2021-07-07 | 79,554,917 | N | The present invention relates to an apparatus for diagnosing heart disease using a deep learning-based electrocardiogram, and a method therefor. The apparatus for diagnosing heart disease using a deep learning-based electrocardiogram according to the present invention comprises: a data input unit which receives an input of normal electrocardiogram data and electrocardiogram data diagnosed as arrhythmia; a data classification unit which classifies the input arrhythmia data into data of a plurality of disease symptoms; a training unit which generates a dataset by randomly extracting data from the normal electrocardiogram data and the arrhythmia data classified into a plurality categories, and inputs the generated dataset into a plurality of deep learning models to train the models on pathological characteristics of arrhythmia; and a control unit which receives an input of electrocardiogram data of a subject to be diagnosed for disease symptoms, and performs a diagnosis by inputting the input electrocardiogram data into a pre-established classification model in stages so as to classify same into highly accurate disease symptoms. According to the present invention, diagnosis results are not classified into binary categories, such as normal and abnormal (arrhythmia), but can instead be classified into multiple categories, such as normal, arrhythmia type 1, arrhythmia type 2, arrhythmia type 3, … N, and thus, accurate diagnosis results can be provided. | en | APPARATUS FOR HEART DISEASE CLASSIFICATION BASED ON DEEP LEARNING, AND METHOD THEREFOR | 68533798_KR,82884754_KR | 64201680_KR | A61B 5/00,A61B 5/349,A61B 5/363,A61B 5/7264,A61B 5/7275,A61B 5/7285,G06N 3/08,G16H 50/20 | [
"A61B 5/00",
"G06N 3/08",
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"G16H 50/20",
"A61B 5/363"
] | 162,350 |
544,018,193 | 2020-06-24 | 67,480,087 | N | A method for measuring a response from an optical fiber providing distributed back reflections using a system comprising an optical source comprising a laser, an optical receiver and a processing unit is disclosed. The method comprises establishing initial parameters of a distributed back-reflection processing. The method also comprises generating an interrogation signal and an optical local oscillator using the optical source, the interrogation signal being represented by an interrogation phasor and the optical local oscillator being represented by a local oscillator phasor; transmitting the interrogation signal into the optical fiber; and mixing the optical local oscillator with reflected light from the optical fiber and detecting a mixing product with the optical receiver to achieve a receiver output signal. The method further comprises performing a measurement that characterizes the interrogation phasor; updating the parameters of the distributed back-reflection processing based on the measurement result such that an effect of fluctuations in the interrogation phasor on the measured response from the fiber is reduced; and applying distributed back-reflection processing to the receiver output signal. Finally, the method comprises extracting the response from the optical fiber from the distributed back-reflection processing output. A system for measuring a response from an optical fiber providing distributed back reflections is also disclosed. | en | METHOD AND APPARATUS FOR SUPPRESSION OF NOISE DUE TO TRANSMITTED SIGNAL INSTABILITY IN A COHERENT FIBER OPTICAL SENSOR SYSTEM | 72275721_FR | 5789231_NO,5422770_NO | G01D 5/35306,G01D 5/35354,G01D 5/35358,G01D 5/35377,G01M 3/04,H04B 10/61 | [
"G01D 5/353"
] | 148,532 |
529,133,881 | 2019-12-10 | 70,091,980 | N | The invention discloses a rehabilitation training motion state monitoring method and system fusing electrocardiogram and myoelectricity characteristics. The method comprises the following steps: obtaining an electrocardiogram signal and a myoelectricity signal and performing characteristic extraction respectively; performing characteristic fusion based on a random fusion coefficient vector to obtain a fusion characteristic vector; learning a multi-classification motion state recognition model based on a support vector machine by adopting the fusion characteristic vector; performing iterative optimization on the fusion coefficient vector by adopting a particle swarm algorithm to obtain an optimal fusion coefficient vector and a multi-classification motion state recognition offline model; and performing motion state recognition based on the fusion characteristic vector of the electrocardiogram signal and the myoelectricty signal collected in real time. According to the invention, electrocardiogram and myoelectricity signals are fused for motion state detection, so accuracy and reliability are greatly improved, and real-time monitoring of the motion state of rehabilitation training ofa patient is achieved; the motion state can be used as the basis for real-time adjustment of rehabilitation training task intensity and a control strategy, the rehabilitation training effect is enhanced, and secondary injuries caused by excessive training are avoided. | en | Rehabilitation training motion state monitoring method and system fusing electrocardiogram and myoelectricity characteristics | 62109927_ | 75903817_,58942697_,65547495_,58293708_,60751938_,63784182_,73696761_ | A61B 5/316,A61B 5/318,A61B 5/389,A61B 5/7203,A61B 5/7235,A61B 5/725,A61B 5/7267,A61B 5/7271 | [
"A61B 5/0488",
"A61B 5/00",
"A61B 5/0402"
] | 138,984 |
534,989,197 | 2019-01-23 | 66,452,466 | N | A word code generating method and recognizing method, devices, and they are falling within the field of machine visual recognition. The word code generating method comprises: inputting target words and a corresponding target file; splitting each word in the target words on the basis of strokes or connecting points, so as to obtain split sequences; and randomly selecting several split sequences to perform visual anomaly processing on attribute values so as to generate word codes, establishing correlations between the word codes and the target file corresponding to the word codes, and outputting the word codes. The method for recognizing word code includes: acquiring an image containing word codes, and recognizing target words therein; splitting the target words according to the same rule, and then recognizing all visual anomaly split sequences, and performing determination on the word codes, if the word codes are generated on the basis of a encoding mechanism designed by a system, directly reading same and performing invoking; otherwise, invoking a pre-inputted target file of the word codes according to target wording sequences numbers and visual anomaly sequences numbers corresponding to the word codes. The feature is that the same words can generate a massive number of word codes with different machine visual features, and the form of the word code is still a word, and thus machine recognition and human eye recognition are integrated into one. | en | PHRASE CODE GENERATION METHOD AND APPARATUS, PHRASE CODE RECOGNITION METHOD AND APPARATUS, AND STORAGE MEDIUM | 81609354_CN | 81621107_CN | G06F 40/109,G06F 40/53,G06K 19/06103,G06V 30/224,G06V 30/2264,G06V 30/2268 | [
"G06V 30/224",
"G06K 19/06"
] | 142,773 |
47,135,681 | 1990-11-13 | 23,730,872 | Y | A laser scanning microscope (10) produces molecular excitation in a target material by simultaneous absorption of two photons to thereby provide intrinsic three-dimensional resolution. Fluorophores having single photon absorption in the short (ultraviolet or visible) wavelength range are excited by a stream of strongly focused subpicosecond pulses of laser light (14) of relatively long (red or infrared) wavelength range. The fluorophores absorb at about one half the laser wavelength to produce fluorescent images of living cells and other microscopic objects. The fluorescent emission from the fluorophores increases quadratically with the excitation intensity so that by strongly focusing the laser light (14), fluorescence as well as photobleaching are confined to the vicinity of the focal plane (18). This feature provides depth of field resolution comparable to that produced by confocal laser scanning microscopes, and in addition reduces photobleaching. Scanning of the laser beam (14), by a laser scanning microscope (10), allows construction of images by collecting two-photon excited fluorescence from each point in the scanned object while still satisfying the requirement for very high excitation intensity obtained by focusing the laser beam (14) and by pulse time compressing the beam. The focused pulses also provide three-dimensional spatially resolved photochemistry which is particularly useful in photolytic release of caged effector molecules. | en | TWO-PHOTON LASER SCANNING MICROSCOPY | 37556289_US | 37587888_US,37587887_CH,37587889_US | G01N 21/631,G01N 21/6402,G01N 21/6428,G01N 21/6456,G01N 21/6458,G01N2021/6415,G02B 21/0076,G11B 7/004,G11B 7/12,G11B 7/1362 | [
"G11B 7/135",
"G11B 7/004",
"G11B 7/12",
"G01N 21/63",
"G01N 21/64",
"G02B 21/00"
] | 33,407 |
49,154,931 | 1999-03-09 | 27,373,082 | Y | A modeless large vocabulary continuous speech recognition system is provided that represents an input utterance as a sequence of input vectors. The system includes a common library of acoustic model states for arrangement in sequences that form acoustic models. Each acoustic model is composed of a sequence of segment models and each segment model is composed of a sequence of model states. An input processor compares each vector in a sequence of input vectors to a set of model states in the common library to produce a match score for each model state in the set, reflecting the likelihood that a state is represented by a vector. The system also includes a plurality of recognition modules and associated recognition grammars. The recognition modules operate in parallel and use the match scores with the acoustic models to determine at least one recognition result in each of the recognition modules. The recognition modules includes a dictation module for producing at least one probable dictation recognition result, a select module for recognizing a portion of visually displayed text for processing with a command, and a command module for producing at least one probable command recognition result. An arbitrator uses an arbitration algorithm and a score ordered queue of recognition results, together with their associated recognition modules, to compare the recognition results of the recognition modules to select at least one system recognition result. | en | System and method for modeless large vocabulary speech recognition | 6227385_BE | 7245825_US,6923805_US,7245823_US,7245824_US | G10L 15/193,G10L 15/26,G10L2015/223,G10L2015/228 | [
"G10L 15/26",
"G10L 15/22",
"G10L 15/18",
"G10L 15/14"
] | 38,301 |
50,581,994 | 1989-08-28 | 27,476,628 | Y | Among light emitting and sensitive element pairs arranged along rows and columns of a matrix in each of first and second layers of an optical computer operable as a neural network with one-to-one correspondence kept between the pairs in the first layer and the pairs in the second layer, the light emitting elements and the light sensitive elements are connected along the rows in the first layer and along the columns in the second layer. Optical intensity controlling elements of a panel are placed in optical paths defined by the pairs in the first layer and the pairs which correspond in the second layer to the pairs of the first layer, respectively. When the light emitting element rows are driven, optical beams are emitted by the light emitting elements of the first layer and controlled by the respective controlling elements to have first-layer controlled amounts of light, respectively. In response to the controlled amounts of light, the light sensitive element columns of the second layer produce second-layer output signals. It is possible to use the second-layer output signals in controlling the controlling elements and thereby to train the optical computer. If desired, the light emitting element columns of the second layer are driven by the second-layer output signals to make the light sensitive element rows of the first layer produce first-layer output signals and to use the first-layer output signals in controlling the controlling elements. | en | Optical neural net trainable in rapid time | 5217703_JP | 5388508_JP,5876912_JP | G06N 3/0675 | [
"G06N 3/067"
] | 40,276 |
321,202 | 1987-07-10 | 25,385,164 | Y | An imaging coherent radiometer for detecting and determining the location and wavelength of coherent radiation or coherent lack of radiation in the presence of non-coherent ambient radiation (R). The apparatus includes an unequal path interferometer (3) which divides incoming radiation (CR) containing coherent and non-coherent radiation into a first beam path and a second beam path through which a first beam and a second beam, respectively, travel. The optical path length difference between the first beam path and the second beam path are greater than the coherence length of the non-coherent radiation, but substantially less than the coherence length of the coherent radiation or coherent lack of radiation. Modulation means (10, 13) are provided to cause a predetermined difference in the optical frequencies between the first beam and the second beam proportional to a modulation signal. The first and second beams are then recombined into a recombined beam. Detecting means (4) are provided to detect the interference of the first and second beams across the entire wavefront of the recombined beam, and over the entire image of the scene being viewed. Processing means detect and determine the location and wavelength of coherent radiation or coherent lack of radiation in the scene being viewed by the apparatus. This information can then be visually displayed. Additional processing means to respond to specific coherent wavelengths or wavelength sets. | en | Imaging coherent radiometer. | 555409_US | 555411_US,555410_US | G01J 3/26,G01J 9/02,G01J 9/0246,G01J2009/0211,G01J2009/0249,G01S 3/782 | [
"G01S 3/782",
"G01J 9/02",
"G01J 3/26"
] | 1,774 |
53,824,298 | 1997-05-09 | 27,427,313 | Y | Factors and methods for disrupting or inhibiting the association of protomers of a multimeric protein are described. Such inhibition reduces the biological disorders. Particularly, novel neurotrophin antagonists are described. Generally, the antagonist comprises amino acids from positions 68-58 and 108-110 of a neurotrophin, in which the amino acid from position 68 is covalently bound to the amino acid from position 108 and the amino acid from position 58 is covalently bound to the amino acid at position 110 to form a bicyclic structure, in another aspect of the invention transition metal ions are provided for selectively altering the geometry of the receptor binding domains of neurotrophins which allows functionality and activity of the neurotrophins to be selectively reduced. For example Zn2+ alters the conformation of NGF rendering it unable to bind to p75NTR or TrkA receptors or to activate signal transduction and biological outcomes normally induced by this protein. Molecular modelling studies predict that Zn2+ binding to NGF will induce structural changes within domains of this neurotrophin which participate in the recognition of TrkA and p75NTR. Ni2+ on the other hand selectively alters the conformation of NGF rendering it unable to bind to TrkA but does not affect binding to p75NTR. Similar actions of Zn2+ are also observed with other members of the NGF family, suggesting a modulatory role for the metal ions in neurotrophin function. | en | Methods of screening for factors that disrupt neurotrophin conformation and reduce neurotrophin biological activity | 5274214_CA | 5970809_CA,5970807_CA,10233604_BE,5970810_CA,5970806_CA | G01N 27/447,G01N 33/74,G01N2030/8831,G01N2333/475,G01N2500/04,Y10T 436/24 | [
"G01N 21/00",
"G01N 30/00",
"G01N 33/00",
"G01N 24/00"
] | 47,238 |
15,599,547 | 2000-09-20 | 22,610,494 | N | Transcriptiona silencing of transgene expression from Moloney murine leukemia (MoMLV) retroviral vectors has been a hurdle in bringing effective gene therapy to the clinic. The present invention used an optimized transduction protocol for human hematopoietic stem cells (HSC) from mobilized peripheral blood (MPB) to compare MoMLV and mouse stem cell virus (MSCV) vectors, with or without addition of a scaffold attachment region (SAR) from the human interferon- beta gene. To estimate retroviral vector supernatant quality, transgene delivery to CD34<+> cells was quantitated 72 hours after transduction using real-time PCR. To estimate the impact of vector backbone and SAR on transgene expression, the percentage of HSC progeny expressing retroviral transgene was compared 72 hours after transduction, and following 5 week stromal culture, or 6-8 week <i>in vivo</i> HSC repopulation assays (SCID-hu bone and NOD/SCID). The predominant effect of SAR, observed following long term assays, was to increase the mean fluorescence intensity (MFI) of transgene expression among HSC progeny in both <i>in vivo</i> bone repopulation models (3-4 fold), and 2 fold following long term stromal cultures. Using MSCV-SAR vector and the optimized transduction protocol, transgene expression was observed among a mean of 10 % of donor HSC progeny in the SCID-hu bone (range 0.6 - 43 %), and among 3-5 % of human HSC progeny in bone marrow and peripheral blood of NOD/SCID mice. | en | INCREASED TRANSGENE EXPRESSION IN RETROVIRAL VECTORS HAVING SCAFFOLD ATTACHMENT REGION | 12723296_AT,5651601_CH,13088483_US,13561816_US | 13088483_US,13561816_US | A61K 48/00,C07K 14/005,C12N 15/86,C12N2740/13022,C12N2740/13043,C12N2740/16122,C12N2740/16322,C12N2830/46,C12N2840/203 | [
"C07K 14/16",
"A61K 48/00",
"C12N 15/867"
] | 11,675 |
417,096,051 | 2013-04-04 | 49,840,804 | Y | A gaming system and method includes one or more input devices, display devices, processors, and memory devices. The memory device(s) store instructions that, when executed by the processor(s), cause the gaming system to receive an input indicative of a wager for a base wagering game, initiate the base wagering game, initiate a bonus game, and establish a minimum bonus payout threshold for the bonus game. At least one bonus game outcome is determined for the bonus game. An aggregate award is determined for the at least one bonus game outcome. In response to the aggregate award being greater than the minimum bonus payout threshold, the aggregate award is awarded. In response to the aggregate award being less than the minimum bonus payout threshold, the aggregate award is awarded plus a supplemental award. The supplemental award is equal to the difference between the minimum bonus payout threshold and the aggregate award. 510 5/8 530 Receive Wager 1 Initiate Bonus R e v WG a m e Initiate Base Set a Minimum Wagering Game Bonus Payout Value 520 ' 540 ffl; Select Random Select Random Outcome in Base Outcome(s) of Wagering Game Bonus Game Determine and 525 Does Aggregate Awards Outcome Include a Bonus Trigger? Yes 550 Does No Aggregate Award Exceed No Minimum Bonus 560--,. Payout Award Aggregate Value? Award Plus a Supplemental Yes Award Award Aggregate 565 IFAward 5653 Determine Award Amount of Base Wagering Game Provide Award(s) 1 ________ FIG. 5 | en | Wagering game with a guaranteed but variable bonus payout | 12503668_US | 40788320_,44506116_,41415663_ | G07F 17/3244,G07F 17/34 | [
"G06Q 50/34",
"A63F 13/00"
] | 85,929 |
51,681,942 | 1995-10-11 | 27,475,098 | Y | A magneto-optical recording and reproducing apparatus achieving an improvement in high density recording and bit error correction rate. The magneto-optical recording and reproducing apparatus comprises coding and modulating means for (1,7) RLL encoding and then NRZI encoding a digital information series {Ai}; recording and reproducing means for recording the encoded series {ai} to a magneto-optical recording medium, and reproducing an analog signal from the medium as elementary waveform sequence e(t) using an optical head; a transversal filter type waveform equalizer for waveform equalizing elementary waveform sequence e(t) by applying the transfer function (1+2D+2D2+D3) of the PR(1,2,2,1) encoding method to the elementary waveform of the encoded sequences, where delay operators D have a delay time of the encoded sequence cell width Tb; a low pass filter; an A/D converter for sampling and quantizing the equalized waveform sequence x(t); and a Viterbi decoder for comparing the A/D converter output {ai} with a particular expected value, and determining the most probable path as decoded sequence {Ai}. The transfer function of PR(1,2,2,1) encoding well approximates the combined transfer function of the recording and reproducing means and the waveform equalizer, achieves strong suppression of interwaveform interference, and achieves high density recording. The Viterbi decoder has a long minimum free distance and an improved error correction rate. | en | Information recording and reproducing apparatus | 5210172_JP | 6523791_JP,6460582_JP,5541635_JP,5349188_JP,5541614_JP | G11B 7/004,G11B 11/10502,G11B 20/10009,G11B 20/10083,G11B 20/10101,G11B 20/10111,G11B 20/10148,G11B 20/1426 | [
"G11B 11/105",
"G11B 20/10",
"G11B 11/10",
"G11B 20/14",
"G11B 7/004"
] | 42,578 |
567,664,725 | 2020-09-02 | 73,804,357 | N | A method of generating questions by combining a triple and an entity type in a knowledge base. An input of a neural network model is a word vector sequence representing a reconstructed triple, and an output, obtained by processing the word vector sequence, is a word vector sequence used to represent a question. The present method comprises: building a new triple on the basis of entity types corresponding to a head entity and a tail entity in a triple; using the GloVe word embedding method to obtain a representation of the new triple and a question corresponding to the new triple; using an attention mechanism-based gating mechanism recurrent neural network to encode the representation of the new triple, and outputting a representation of a triple incorporating contextual information; using the attention mechanism-based gating mechanism recurrent neural network to decode the representation of the triple, and outputting a representation of the question corresponding to the triple, thereby outputting the question; and replacing the entity types in the question output by the model with specific entities to obtain a new question. In the present method, the triple is combined with information of entity types corresponding to the head entity and the tail entity in the triple in a knowledge base and, by means of the attention mechanism-based neural network model, a question more grammatically fluent and more related to the input triple is obtained. | en | METHOD OF GENERATING QUESTIONS BY COMBINING TRIPLE AND ENTITY TYPE IN KNOWLEDGE BASE | 63586689_CN | 67301282_CN,85330115_CN | G06F 40/166,G06F 40/284,G06F 40/30 | [
"G06F 40/166"
] | 163,591 |
549,505,169 | 2020-10-15 | 75,538,153 | N | The present invention provides a motor neuron degeneration inhibitor. The present invention relates to a motor neuron degeneration inhibitor that contains one or more compounds selected from N-[3-({2-[(cyclopropanecarbonyl)amino]imidazo[1,2-b]pyridazin-6-yl}oxy)phenyl]cyclohexanecarboxamide, 4-[(2-chlorophenoxy)methyl]-N-{1-[(2-fluorophenyl)methyl]-1H-pyrazol-4-yl}pyridine-2-carboxamide, N-[1-(4-fluorobutyl)-1H-pyrazol-4-yl]-4-[(2-fluorophenoxy)methyl]pyridine-2-carboxamide, 1-(3-chlorophenyl)-N-[4-(diethylcarbamoyl)phenyl]-2-methyl-1H-benzimidazole-6-carboxamide, 3-ethoxy-6-ethyl-N-[1-(hydroxyacetyl)piperidin-4-yl]-5-(4-methoxyphenyl)-1-methyl-4-oxo-4,5-dihydro-1H-pyrrolo[3,2-c]pyridine-2-carboxamide, 1-[(3-methoxyphenyl)methyl]-N-(pyridin-3-yl)-1H-benzotriazole-5-carboxamide, (3aS,4R,9bR)-4-[2-(trifluoromethyl)phenyl]-3a,4,5,9b-tetrahydro-3H-cyclopenta[c]quinoline-8-carboxylic acid, 3-(pyridin-4-yl)-4,5-dihydro-2H-benzo[g]indazole, N-[4-(5-{[(4-chlorophenyl)methyl]sulfanyl}-4-methyl-4H-1,2,4-triazol-3-yl)phenyl]propanamide, 4-[(2-chlorophenoxy)methyl]-N-{1-[(2-cyanophenyl)methyl]-1H-pyrazol-4-yl}pyridine-2-carboxamide, 4-[(2-chlorophenoxy)methyl]-N-[1-(2-methoxyethyl)-1H-pyrazol-4-yl]pyridine-2-carboxamide, 1-(2-{[(4-methoxyphenyl)methyl]amino}pyrimidin-4-yl)-1H-indole-3-carboxamide, N-{3-[2-(4-methoxyphenyl)-1H-benzimidazol-5-yl]phenyl}-2-phenylacetamide, N-benzyl-2-cyclopropyl-5-methylthieno[2,3-d]pyrimidine-4-amine, and salts thereof. | en | MOTOR NEURON DEGENERATION INHIBITOR | 64270748_JP,67870365_JP | 81325290_JP,81240359_JP,64111992_JP,68439650_JP,69115248_JP,63868322_JP,81506092_JP | A61K 9/20,A61K 9/48,A61K 31/4184,A61K 31/4196,A61K 31/437,A61K 31/4439,A61K 31/473,A61K 31/5025,A61K 31/506,A61P 21/00,A61P 25/02 | [
"A61K 9/48",
"A61K 31/4439",
"A61P 25/02",
"A61K 9/20",
"A61P 21/00",
"A61K 31/5025",
"A61K 31/4184",
"A61K 31/437",
"A61K 31/4196",
"A61K 31/473",
"A61K 31/506"
] | 152,423 |
42,819,306 | 2001-08-24 | 22,853,739 | Y | FIELD: medicine; pharmacology. ^ SUBSTANCE: invention relates to the amyloid-binding compound or its water-soluble non-toxic salt, where Y is presented by NR1R2; Z means S; R1 is chosen from group consisting of H, methyl, propyl, (CH2)nOR' (where n = 1, 2 or 3 and R' is presented by H or by lowest alkyl group), CF3, CH2-CH2X, CH2-CH2-CH2X (where X = F, Cl, Br or I); where R2 is chosen from group consisting of lowest alkyl group, (CH2)nOR' (where n = 1, 2 or 3 and R' is presented by H or by lowest alkyl group), CF3, CH2-CH2X, CH2-CH2-CH2X (where X = F, Cl, Br or I); R3 - R10 are chosen independently from group, consisting of H, F, CI, Br, I, lowest alkyl group, (CH2)nOR' (where n = 1, 2 or 3) or OR' , and R' means H lowest alkyl group); provided, the compound isn't related one of the following compounds: methyl-[4-(6- methyl -benzothiazole-2-il)phenyl]amin, dimethyl -[4-(6- methyl - benzothiazole-2-il)phenyl]amin, and where at least one of R1-R10 substitutors contains the radioactive marker, chosen from group, which consists of 11C, 123I, 125I or 127I, and the described compounds don't contain the nitrogen quaternary atoms. The invented compounds are used for detection of the amyloid deposit in patient and in differential diagnostics of brain affected by Alzhemer's disease and normal brain. . ^ EFFECT: thioflavin derivatives are obtained for in vivo visualization and identification of amyloid deposit in patient. ^ 16 cl, 2 tbl, 9 dwg, 9 ex | en | AMYLOID-BINDING THIOFLAVIN DERIVATIVES, METHOD OF in vivo DETECTION OF AMYLOID DEPOSIT AND METHOD OF DIAGNOSTICS OF ALZHEIMER'S DISEASE | 34677273_US | 64713128_US,69244168_US,65127891_US | A61K 31/428,A61K 31/5415,A61K 51/0497,A61P 25/00,A61P 25/28,C07B2200/05,C07D 277/64,C07D 277/66 | [
"A61K 49/00",
"A61P 25/28",
"A61K 101/00",
"A61K 47/04",
"C07B 59/00",
"A61K 9/08",
"A61K 47/10",
"A61K 31/428",
"A61K 51/04",
"G01N 33/60",
"G01N 33/53",
"A61K 51/00",
"C07D 277/66",
"C07D 277/64"
] | 28,558 |
554,448,155 | 2021-06-07 | 75,590,780 | Y | The invention relates to a brain-computer interface method with additional Chinese character silent reading and exercise imagery tasks, which comprises the following steps of: acquiring electroencephalogram signals of a subject in a plurality of groups of additional Chinese character silent reading and exercise imagery tasks, taking a plurality of Chinese characters as stimulation in a single task, comprising an idle stage, a preparation stage, a prompt stage and a silent reading imagery stage; preprocessing the electroencephalogram signals, obtaining the energy of the electroencephalogram signals of the subject, and determining the optimal filtering frequency range according to the energy of the electroencephalogram signals; preprocessing the electroencephalogram signals again, and performing filtering processing on the electroencephalogram signals according to the optimal filtering frequency range in the re-preprocessing process; using the preprocessed electroencephalogram signals as electroencephalogram data samples, performing feature extraction and classification on the electroencephalogram data samples through a convolutional neural network, and using classification results for driving external equipment interacting with the brain. According to the method, an exercise imagery task normal form with additional Chinese character slient reading is provided, and the classification accuracy of the electroencephalogram signals is improved. | en | Brain-computer interface method with additional Chinese character silent reading and exercise imagery tasks | 60434239_ | 58737569_,64912485_,69316327_,59114080_,65563388_ | G06F 3/015,G06N 3/0454 | [
"G06F 3/01",
"G06N 3/04"
] | 155,724 |
39,993,902 | 2007-03-14 | 38,509,693 | N | The present invention relates to an exercise load controller and a lumbar joint rehabilitation exercise apparatus using the same, and more particularly to an exercise load controller, which can perform torque production, brake control, and other controls by combining DC motors, a powder clutch, and an amplifier, and a lumbar joint rehabilitation exercise apparatus constructed using the same. The exercise load controller is constructed to amplify and use the inherent torque with a rated capacity provided by a DC motor and the basic brake power of a power clutch through an amplifier with an amplification rate for the interlocking. A pelvis/thigh holder, a footstool, and a pelvis back holder are controlled using DC motors having sub-functions and a holding support controller for controlling these motors so as to allow control with an accurate control force to suit the physical state and the intensity of exercise of the user. The exercise load controller and an integrated controller for controlling it are adopted and constructed so that it is possible to perform automatic adjustment and selection according to real-time changes of the intensity of exercise of the user using feedback or to allow adjustment by the operator to suit the state or situation and it is thus possible to dynamically handle the exercise load that is based on the exercise angle range, muscular strength, and the like of the user, thereby maximizing the exercise efficiency. | en | LOAD CONTROLLER AND THE LUMBAR EXTENSION EXERCISE APPARATUS USING THE LOAD CONTROLLER | 32886242_KR | 32886242_KR | A61H 1/0292,A61H2201/018,A63B 21/00181,A63B 21/0058,A63B 23/0233,A63B 23/0238,A63B 23/0244,A63B 24/00,A63B2208/0233,A63B2220/16,A63B2220/51 | [
"A63B 23/02"
] | 26,248 |
4,223,548 | 1985-04-16 | 27,293,764 | Y | Instead of an excitation pulse sequence producing circuit which is used according to prior art in calculating pulse instants or locations of excitation pulses and pulse amplitudes thereof, an excitation pulse sequence parameter producing circuit is used in a low bit-rate pattern coding device in recursively giving delays of the respective pulse instants to a discrete impulse response sequence to provide a system of delayed impulse responses and in orthogonalizing the delayed impulse response system into an orthogonal system of system elements, Meanwhile, the pulse instants are determined with element amplitudes or factors calculated for the respective system elements by the use of the system elements and each segment of a discrete pattern signal sequence. The pulse instants and the element amplitudes are used as parameters descriptive of the excitation pulses. Alternatively, the pulse instants are determined one at a time after quantization of each of the recursively determined element amplitudes. Preferably, the discrete impulse response sequence and the segment are weighted in consideration of auditory or like sensual effects. In a counterpart decoder, the pulse amplitudes are calculated by the use of the pulse instants and the system elements which are calculated by using the pulse instants and another parameter sequence which, in turn, is derived in the coding device from the segment in the manner in the art of multi-pulse excitation. | en | LOW BIT-RATE PATTERN CODING WITH RECURSIVE ORTHOGONAL DECISION OF PARAMETERS | 5226586_ | 16114766_ | G10L 19/10 | [
"H03M 7/02",
"H04B 1/66",
"G10L 19/10"
] | 3,598 |
474,929,805 | 1998-01-22 | 25,518,980 | Y | A method of calculating beam landing errors in an electronic display device having color phosphor elements and electron guns to generate electron beams to impinge on corresponding phosphor elements requires a magnetic field to be generated to deflect an electron beam relative to the corresponding phosphor element on which the electron beam is impinge. The intensity if light emitted by the phosphor elements in the measurement area is measured as the electron beam impinges thereon. The polarity of the magnetic field is reversed and the above step is repeated. Thereafter, the magnitude of the magnetic field is changed and the above two steps are repeated thereby to measure at least two different light intensities resulting from electron beams influenced by each polarity magnetic filed. The at least two different light intensities resulting from electron beams influenced by each polarity magnetic field are then approximated with straight lines and an intersection point of the straight lines is determined. A corresponding magnetic field to the intersection point is also determined. A magnetic filed is then generated corresponding to the intersection point and the intensity of light emitted by the phosphor element as the electron beam impinges thereon is measured. A beam landing error is then calculated using a characteristic of the phosphor element and at least some of the measured light intensities and corresponding generated magnetic fields. | en | Purity/beam landing error measurement method for electronic display devices | 15703801_CA | 16520206_CA,16393641_CA | H01J 9/42,H04N 17/04 | [
"H01J 9/42",
"H04N 17/04",
"H04N 17/00"
] | 106,588 |
532,125,820 | 2019-08-27 | 68,108,902 | Y | In implementations of object detection in images, object detectors are trained using heterogeneous training datasets. A first training dataset is used to train an image tagging network to determine an attention map of an input image for a target concept. A second training dataset is used to train a conditional detection network that accepts as conditional inputs the attention map and a word embedding of the target concept. Despite the conditional detection network being trained with a training dataset having a small number of seen classes (e.g., classes in a training dataset), it generalizes to novel, unseen classes by concept conditioning, since the target concept propagates through the conditional detection network via the conditional inputs, thus influencing classification and region proposal. Hence, classes of objects that can be detected are expanded, without the need to scale training databases to include additional classes. Object Detection System 110 Object Detection Application 112 slay124 Image Image Module Word 144 Embedding Processor W D 1 LModoule 150 16Word Dt 3 Input Condition Detection Storage 128 Attention Map 10 ~Data 134 Module 146 Module 152 Data 134 _ _ _ - ~Transceiver _ Module 140 DtcinDt Attention Map Training Module 148 Module 154 Assets Training Data 104- - Image 120 'wheel' 118 122 122 122 104-1 Network -o 104-2 /c-----J.. Image System 1_1q4 Image 116 ODS 110 Applications Detection Assets Application 160 1_58 -| | en | METHOD FOR SCALING OBJECT DETECTION TO A VERY LARGE NUMBER OF CATEGORIES | 71788041_US | 53765045_,27916632_,72786801_,53803610_,77516319_ | G06K 9/6201,G06K 9/6256,G06K 9/6268,G06K 9/6271,G06N 3/04,G06N 3/0454,G06N 3/0481,G06N 3/08,G06V 10/454,G06V 10/82,G06V 20/00,G06V 20/10,G06V 20/20,G06V 20/40,G06V 20/64 | [
"G06F 17/00"
] | 140,831 |
4,113,447 | 1980-01-21 | 21,716,808 | Y | METHOD AND APPARATUS FOR HOLOGRAPHICALLY PROCESSING OPTICAL SIGNALS A method and apparatus for holographically processing optical signals in a fiber-optic sensor system. In the present invention, holographic processors are utilized in various combinations with light sources, fiber-optic transmission means, sensors and detectors to provide low cost, compact, sensitive and accurate sensor systems. By means of the holographic processors of the present invention, the aforementioned sensor systems are used to monitor such physical parameters as temperature, pressure, flow-rate, and the like, and to provide output signal indications thereof that are compatible with digital receiving stations and immune to electro-magnetic interference, hazardous atmosphere, and the inimical effects of inadvertent intensity variation due to equipment vibration and the like. In one typical embodiment, a pair of holographic processors are employed in a color multiplexdemultiplex sensor system in which a first holographic processor is employed to color multiplex a sensor signal and a second holographic processor is employed to decode the color-multiplexed signal into a binary pattern that is then transmitted onto a set of photodetectors. In each of the embodiments of the invention disclosed, a unique geometrical orientation of a hologram is utilized to minimize spurious signal interference that would otherwise hamper or totally preclude the holographic processing. | en | METHOD AND APPARATUS FOR HOLOGRAPHICALLY PROCESSING OPTICAL SIGNALS | 12676310_ | 14932247_,16041195_,16041194_ | G02B 5/32 | [
"G08C 23/04",
"G02B 5/32"
] | 3,360 |
336,735,692 | 2010-05-03 | 44,531,930 | Y | A machine control device includes: first decoders for estimating, from brain signal information, which one of body movements a user performs or images, based on learning using pairs of movements performed by the user and brain signal information, the body movements going toward one of first to nth body postures; second decoders for estimating from the brain signal information, an correct rate on the body movement estimation, based on learning using pairs of correct rates of the estimation of body movements and the brain signal information; and electric prosthetic arm control section for controlling an electric prosthetic arm to change stepwise its posture between first to nth postures via at least one intermediate posture therebetween, the first to nth postures corresponding to the first to nth body postures. The first decoders perform the estimation only when the estimated correct rate exceeds a threshold. When the first decoders estimate that the body movements goes toward a body posture different from the current one, the electric prosthetic arm control section changes the posture of the machine by performing a part of substeps of change from one of the first to nth body postures toward the posture associated with the body posture toward which the estimated body movement goes. This configuration allows a user to control a brain-signal-based machine to perform a natural movement without a long-term training and much brain information. | en | Machine control device, machine system, machine control method, and recording medium storing machine control program | 11860627_JP,11860625_JP,11860626_JP,5886970_JP,6905739_JP,6905742_JP,11860628_JP,11860629_JP,5854775_JP,11118441_JP,5223239_JP | 11860627_JP,11860629_JP,6905742_JP,11860625_JP,11860628_JP,11860626_JP,11118441_JP,6905739_JP | A61B 5/318,A61B 5/7267,G16H 50/70 | [
"A61B 5/04",
"A61B 5/0402"
] | 69,395 |
507,554,630 | 2018-03-30 | 50,345,258 | Y | FIELD: image processing means.SUBSTANCE: invention relates to encoding images. Image encoding device that divides the difference information between an image that is an object of encoding and an image that is an object of prediction into multiple subblocks and coding a divided subblock in a given order contains: coding block of information about a significant subblock indicating the 0 equality of all or not all values of the difference coefficients related to the subblock being the object of coding; coding block of information about a significant difference coefficient indicating the equality or inequality 0 of the value of the difference coefficient; coding unit of the value of the difference coefficient and the context extraction unit, which extracts the context for encoding information about the significant difference coefficient that is the object of encoding, based on the sum of the horizontal position and the vertical position of the difference coefficient in the subunit that is the object of encoding, and at least one of: (1) information on the relevant subblock of coded subunits adjacent to the subunit being encoding, (2) information about significant difference coefficients related to coded subunits adjacent to the subunit being encoding, and (3) the values of the difference coefficients related to the coded subunits adjacent to the subunit being the object of coding.EFFECT: improving the efficiency of image coding.3 cl, 20 dwg | en | PICTURE CODING DEVICE, PICTURE CODING METHOD AND NON-TRANSITORY COMPUTER READABLE RECORDING MEDIUM | 67782316_JP | 64024791_JP,68279250_JP | G06T 9/00,H04N 19/119,H04N 19/13,H04N 19/137,H04N 19/176,H04N 19/18,H04N 19/30,H04N 19/44,H04N 19/50,H04N 19/593,H04N 19/70,H04N 19/91 | [
"H04N 19/176",
"H04N 19/593",
"H04N 19/91"
] | 125,137 |
48,961,360 | 1994-06-01 | 10,705,570 | Y | PCT No. PCT/GB92/02229 Sec. 371 Date Jun. 1, 1994 Sec. 102(e) Date Jun. 1, 1994 PCT Filed Dec. 1, 1992 PCT Pub. No. WO93/11138 PCT Pub. Date Jun. 10, 1993 <IMAGE> (I) This invention concerns compounds of formula (I) wherein E represents hydrogen, C1-C6 alkyl or a group Ar1-A1; Ar and Ar1 when present each represent an aryl group of 6 to 10 carbon atoms or a heteroaryl group of 5 to 10 ring atoms wherein the heteroatoms are selected from oxygen, nitrogen and sulphur, which may be optionally substituted by one or more substituents selected from alkyl of 1 to 6 carbon atoms, alkoxy of 1 to 6 carbon atoms, halogen, haloalkyl of 1 to 6 carbon atoms, haloalkoxy of 1 to 6 carbon atoms, cyano, amino, mono- or di-(C1-C6) alkylamino, hydroxy and nitro; A and A1 when present are the same or different alkylene groups having one or two carbons linking Ar or Ar1 to N, each optionally substituted by alkyl of 1 to 6 carbon atoms or an optionally substituted Ar group as defined above, B is a straight chain alkylene group of 3 or 4 carbon atoms optionally substituted by alkyl of 1 to 6 carbon atoms, and D represents one of the following <IMAGE>yl of 1 to 6 carbon atoms or aralkyl of 7 to 12 carbon atoms; R3 is -CH(Oalkyl)2 in which the alkyl group contains 1 to 6 carbon atoms and R4 is alkyl of 1 to 6 carbon atoms or aralkyl of 7 to 12 carbon atoms, which compounds are GABA autoreceptor agonists useful as antidepressants and for treating senile dementia. | en | Amine derivatives containing a phosphonic acid moiety | 5247777_GB | 5619900_GB,7098975_GB | C07F 9/3211,C07F 9/3808,C07F 9/4006,C07F 9/4816 | [
"C07F 9/48",
"C07F 9/40",
"C07F 9/32",
"C07F 9/38"
] | 38,042 |
514,638,023 | 2016-04-27 | 55,860,842 | Y | FIELD: medicine.SUBSTANCE: group of inventions relates to medical equipment, specifically to means of compensating for loss or hearing disorders using an auditory prosthesis. Auditory prosthesis comprises at least one electroacoustic transducer for converting acoustic signals into electrical signals and an ultrasonic device configured to generate focused pulsed ultrasonic beams, wherein the ultrasonic device is configured to be fixed in the external ear and/or outside the ear, wherein the ultrasonic beams are focused on different spatially distributed points (P) in the region of the inner ear (I) or in the auditory pathway in the brain (G), causing nerve stimulation, depending on electric signals generated by the electroacoustic transducer. Method of compensating for hearing loss or hearing loss is characterized by the fact that the acoustic prosthesis is fixed in the external ear and/or outside the ear and ultrasonic beams, depending on the electric signals formed by the electroacoustic transducer, are focused on different spatially distributed points (P) in the inner ear region (I) or in the auditory pathway in the brain (G), as a result, various spatially distributed regions are stimulated in sciatic (H) or within auditory canal, which represent different audio frequencies.EFFECT: use of the group of inventions widens the range of means of compensating for loss or hearing disorders with the help of an auditory prosthesis.12 cl, 7 dwg | en | AUDITORY PROSTHESIS EMITTING ULTRASONIC PULSES | 77368689_DE | 63864286_DE | A61N 1/36036,A61N 1/36038,H04R 25/405,H04R 25/606,H04R2225/67 | [
"A61H 23/02",
"H04R 25/00"
] | 128,820 |
54,179,608 | 1978-07-20 | 4,109,656 | Y | A self-locking encephalic electrical probe is used for stereoelectroencephalographic exploration in the treatment of epilepsy or other brain diseases. The probe includes a long, hollow, flexible tube of small diameter, preferably made of medium density polyethylene. A series of at least two electrically conductive rings, preferably made of silver, are located close to one another along the tube for detecting the electrical activity of nerve cells. A series of insulated electrical conductors are located inside the hollow tube, each conductor connecting a conductive ring to a multi-contact terminal located outside the hollow tube. A removable stylet is inserted into the hollow tube to give it rigidity and to control the direction of introduction of the probe into the brain. The stylet is removed from the tube to restore flexibility to the tube after the probe has been introduced in the brain. A self-locking rigid anchor preferably made of stainless steel holds the probe in place. The anchor is funnel-shaped and quickly and firmly fixes the hollow tube to the brain-pan of the patient after the probe has been introduced to the selected depth in the brain. The probe is used in conjunction with other probes for transmitting to a receptor the cerebral activity of the patient which is recorded and analyzed. As a result of this analysis, a medical staff may accurately locate the region of the brain that must be operated upon to cure the patient. | en | Self-locking cerebral electrical probe | 10521662_CA,10521659_CA,10521661_CA,10521660_CA | 10521664_CA,10521663_CA,10521665_CA,10521666_CA | A61B 5/0031,A61B 5/24,A61B 5/283,A61B 5/4094,A61B 5/411,A61B 5/6864,A61M 25/02,A61M 25/06,A61M 39/0247,A61M2025/006,A61M2025/0213,A61M2039/025,A61M2039/0261,A61M2039/0267,A61M2210/02,A61M2210/0693 | [
"A61M 1/00",
"A61M 25/02",
"A61B 5/042",
"A61B 5/04",
"A61B 5/00",
"A61M 25/06"
] | 48,339 |
551,168,228 | 2021-01-14 | 76,003,670 | N | The invention relates to a transcranial magnetoacoustic electrical stimulation brain regulation and control device and a transcranial magnetoacoustic electrical stimulation brain regulation and control method. The transcranial magnetoacoustic electrical stimulation brain regulation and control device comprises a pulse signal generator, a radio frequency power amplifier, an ultrasonic transducer, permanent magnets and an operation table. The device is characterized in that the device further comprises a digital signal generator and a collimator, and an output end coaxial connecting line of the digital signal generator is connected with an input end of the pulse signal generator and then connected with an input end of the radio frequency power amplifier; the output end of the radio frequency power amplifier is connected with the ultrasonic transducer through the coaxial connecting line, the front end of the ultrasonic transducer is bonded with a collimator filled with a coupling agent, and two permanent magnets are placed on two sides of the operating platform and are symmetrical about the outlet axis of the collimator; and the ultrasonic transducer is positioned at the middle upper part of the two permanent magnets. According to the control device, two signal generators are used for generating intermittent pulse sequences, ultrasound can be guided to be limited in a certain area, and precise stimulation of the specific area is achieved. | en | Transcranial magnetoacoustic electrical stimulation brain regulation and control device and transcranial magnetoacoustic electrical stimulation brain regulation and control method | 60434239_ | 65164041_,63922767_,81994705_,59325609_,82064401_ | A61B 5/4848,A61B 5/6803,A61B2503/40,A61B2503/42,A61N 2/002,A61N 2/006,A61N 2/06,A61N 7/00,A61N2007/0026 | [
"A61B 5/377",
"A61B 5/383",
"A61B 5/291",
"A61B 5/256",
"A61N 7/00",
"A61N 2/06",
"A61N 2/00"
] | 153,699 |
4,218,008 | 1985-01-15 | 24,282,816 | Y | A probabilistic learning element for performing task independent sequential pattern recognition employs context driven searching. The element receives sequences of objects and outputs sequences of recognized states composed of objects. The element includes a short term memory for storing received objects in sequential context and long term memories for storing in sequential context previously learned states and predetermined types of knowledge relating to the previously learned states. The element correlates the information stored in the short term memory with information stored in the long term memories for assigning probabilities to possible next states-in the sequence of recognized states. Said correlation is facilitated by using the context of the information stored in the short term memory as a pointer to the context of the information stored in the long term memories. Based upon the probabilities of the possible next states the most likely next state is determined and outputted as a recognized next state in the recognized state sequence when the element determines that a state has ended. The element additionally includes means for providing a rating of confidence in the recognized next state. The ratings of confidence for a sequence of recognized states are accumulated and if the accumulated value exceeds a predetermined threshold level the element will be caused to store the recognized state sequence as a learned state sequence. | en | PROBABILISTIC LEARNING ELEMENT EMPLOYING CONTEXT DRIVEN SEARCHING | 12677772_ | 15966380_,16123496_,16123495_ | G06K 9/62,G06K 9/6297,G06N 20/00,G06V 10/70,G06V 10/85 | [
"G06K 9/66",
"G06K 9/62",
"G06F 15/18"
] | 3,580 |
333,339,196 | 2010-09-24 | 43,795,235 | Y | Disclosed is a method of selectively predicting hydrocarbon concentration in a sample of unknown hydrocarbon concentration (the unknown sample). The method comprises the steps of: (i) separately subjecting two or more samples of known hydrocarbon concentration to infrared (IR) radiation; (ii) 5 separately detecting an IR signal from the samples of known hydrocarbon concentration; (iii) analysing the IR signals using a multivariate chemometric technique to produce a training data set; (iv) generating a predictive model for hydrocarbon concentration based on the training data set; (v) subjecting the unknown sample to infrared (IR) radiation; (vi) detecting an IR signal from the unknown sample; (vii) applying the predictive model to the IR signal from the unknown sample; and thereafter (viii) selectively 10 predicting hydrocarbon concentration in the unknown sample. Also disclosed is a method for generating a model to selectively predict hydrocarbon concentration in a sample of unknown hydrocarbon concentration and a software program for selectively predicting hydrocarbon concentration from inputted IR signal data of an unknown sample. TPH(c1O-c14) (mg/kg) T PH(c15-c28) (mg/kg) 10 ~ ---- H(c10-C14I, OTPH(c15-c2B) 8 (k(mg/kg) 0 z 10 50 100 200 500 1000 1500 TPH (ppm) TPH (ppm) TPH(c29-c36) (mg/kg) Total THC - 0 TPH(c29-36) oTotal THC 12 __(mg/kg) 12 z 8 2 f 0 UL 0 0 0 0 0 00 U y- 0 0 0 NP H\(pNmN (' Nt LTJ-D TPH (ppm) TPH (ppm) Figure 1(a) | en | Method of contaminant prediction | 5439731_AU | 42234382_,42234380_,42234381_ | G01N 21/3563,G01N 21/359,G01N 33/241,G01N2201/129 | [
"G01N 21/35",
"G01N 33/24",
"G01N 30/74",
"G01N 21/47"
] | 67,096 |
564,573,159 | 2021-12-01 | 79,472,708 | N | The invention discloses a vehicle-mounted intelligent unit with fusion perception and collaborative decision-making functions and a control method. The vehicle-mounted intelligent unit comprises an interaction subsystem, a perception fusion subsystem, a decision-making subsystem and a support subsystem. The interaction subsystem is used for acquiring perception information related to an automatic driving task; the perception fusion subsystem is used for performing fusion processing on the perception information and performing identification; the decision-making subsystem is used for generating a driving decision according to the fusion perception information; and the support subsystem is used for performing redundancy verification on the driving decision and generating a driving instruction. The method comprises the following steps: acquiring perception information related to automatic driving, and carrying out fusion processing on the perception information to obtain fusion perception information; generating a driving decision according to the fusion perception information; and performing redundancy verification processing on the driving decision to generate a driving instruction. According to the invention, the purpose of realizing the automatic driving of the vehicle is achieved, and the driving decision is generated by fusing the obtained perception information, so that the vehicle-road collaborative automatic driving is realized. | en | Vehicle-mounted intelligent unit with fusion perception and collaborative decision-making functions and control method | 78215643_ | 58938101_,61084183_,58832394_,67475846_,64857519_,60825317_,61435898_,81195654_,62479684_,59907221_,59834373_,61572400_ | G05D 1/0055 | [
"B60W 60/00"
] | 162,279 |
493,257,135 | 2017-10-11 | 61,904,752 | Y | (In the formula, Ar1, Ar2, and Ar3 separately represent a substituted or unsubstituted phenylene group, and each of m and n is independently 0 or 1. R1 and R2 separately represent hydrogen, an alkyl group having 1 to 6 carbon atoms, a substituted or unsubstituted phenyl group, a substituted or unsubstituted biphenyl group, a substituted or unsubstituted terphenyl group, a substituted or unsubstituted fluorenyl group, a substituted or unsubstituted methylfluorenyl group, a substituted or unsubstituted dimethylfluorenyl group, a substituted or unsubstituted spirofluorenyl group, a substituted or unsubstituted naphthyl group, or a substituted or unsubstituted phenanthrenyl group. B1 to B3 separately represent nitrogen or carbon, and at least one of B1 to B3 represents nitrogen. In addition, A is represented by General Formula (G1-1). Any one of R3 to R12 is bonded to Ar1, and the others separately represent hydrogen, an alkyl group having 1 to 6 carbon atoms, a substituted or unsubstituted phenyl group, a substituted or unsubstituted biphenyl group, a substituted or unsubstituted terphenyl group, a substituted or unsubstituted fluorenyl group, a substituted or unsubstituted methylfluorenyl group, a substituted or unsubstituted dimethylfluorenyl group, a substituted or unsubstituted spirofluorenyl group, a substituted or unsubstituted naphthyl group, or a substituted or unsubstituted phenanthrenyl group. Furthermore, Q represents S or O.) | en | Organic compound, light-emitting element, light-emitting device, electronic device, and lighting device | 5213640_JP | 56864182_JP,7457951_JP,49926889_JP,5477097_JP | C07D 251/24,C07D 307/77,C07D 405/10,C07D 409/10,C09K 11/06,C09K2211/1059,C09K2211/1088,H01L 27/3244,H01L 51/0052,H01L 51/006,H01L 51/0061,H01L 51/0067,H01L 51/0072,H01L 51/0073,H01L 51/0074,H01L 51/0085,H01L 51/5012,H01L 51/5016,H01L 51/5036,H01L 51/5218,H01L 51/5237 | [
"H01L 51/50",
"H01L 51/52",
"H01L 27/32",
"H01L 51/00",
"C07D 409/10",
"C07D 405/10"
] | 116,919 |
501,640,034 | 2018-03-28 | 63,782,648 | Y | The invention discloses an electrocardiogram data pathological feature quantitative analysis method and device, relates to a method and device for quantitative extraction of dynamic multiple pathological features of a cardiac electrical activity system and an abnormal analysis method and device for cardiac electrical signals, and belongs to the field of cardiac disease data feature mining. The electrocardiogram data pathological feature quantitative analysis method and device are used for solving the problem of mining more and richer dynamic pathological features in electrical activities of acardiac nonlinear system. The key point of the electrocardiogram data pathological feature quantitative analysis method and device is that the step of extracting quantification index of inherent cardiac dynamic pathological characteristics of dynamic data of a cardiac electrical activity nonlinear system by the method of heterogeneity analysis is achieved, wherein the heterogeneity analysis refersto non-uniformity and complexity analysis of the dynamic data of the cardiac electrical activity nonlinear system in the process of spatial distribution and time deduction. The effect of the electrocardiogram data pathological feature quantitative analysis method and device is that the obtained information can present the dynamic pathological features which are difficult to measure by traditionalmethods of the cardiac electrical activity nonlinear system. | en | Electrocardiogram data pathological feature quantitative analysis method and device | 59572864_ | 60646809_,65128279_ | A61B 5/318,A61B 5/349,A61B 5/72,A61B 5/7257 | [
"A61B 5/0402",
"A61B 5/00",
"A61B 5/318"
] | 121,636 |
537,614,733 | 2020-06-05 | 72,347,337 | Y | The invention discloses a lightweight fine-grained image recognition method for cross-layer feature interaction in a weak supervision scene, and the method comprises the steps: constructing a novel residual module through employing multi-layer aggregation grouping convolution to replace conventional convolution, and enabling the novel residual module to be directly embedded into a deep residual network frame, thereby achieving the lightweight of a basic network; then, performing modeling on the interaction between the features by calculating efficient low-rank approximate polynomial kernel pooling, compressing the feature description vector dimension, reducing the storage occupation and calculation cost of a classification full-connection layer, meanwhile, the pooling scheme enables the linear classifier to have the discrimination capability equivalent to that of a high-order polynomial kernel classifier, and the recognition precision is remarkably improved; and finally, using a cross-layer feature interaction network framework to combine the feature diversity, the feature learning and expression ability is enhanced, and the overfitting risk is reduced. The comprehensive performance of the lightweight fine-grained image recognition method based on cross-layer feature interaction in the weak supervision scene in the three aspects of recognition accuracy, calculation complexity and technical feasibility is at the current leading level. | en | Lightweight fine-grained image recognition method for cross-layer feature interaction in weak supervision scene | 60222283_ | 60492761_,63819468_,59395008_,60881724_,64495988_,59336476_ | G06K 9/6256,G06K 9/629,G06N 3/0454,G06V 10/32 | [
"G06K 9/42",
"G06V 10/32",
"G06K 9/62",
"G06N 3/04",
"G06V 10/82",
"G06V 10/80",
"G06V 10/774"
] | 144,618 |
469,587,496 | 2016-02-24 | 56,613,102 | N | The group of inventions relates to the field of measurements for the examination or analysis of the motion of the human body or of portions thereof for diagnostic purposes, and specifically to determining a type of motion activity of a person. The implementation of the method involves recording signals from a three-way accelerometer affixed to a person's body, using said signals to calculate the modulus of an acceleration vector, forming a time-based array of values of the modulus of the acceleration vector, and isolating the extrema thereof. Then, proceeding sequentially from one extremum to another while counting a number of extrema equal to a reference number of extrema for at least one reference standard previously determined for a certain type of motion activity, the duration of individual motion actions is determined, and, within the limits of each individual motion action, values for the differences between neighboring extrema of the modulus of the acceleration vector are determined; these are then compared with reference values for the duration of a motion action and the difference between neighboring extrema of the modulus of the acceleration vector of the corresponding reference standard. On the basis of the comparison results, a decision is made that a motion was performed of a certain type of motion activity. The technical result consists in increasing the reliability of determining a type of motion activity of a person. | en | METHOD FOR DETERMINING THE TYPE OF MOTION ACTIVITY OF A PERSON AND DEVICE FOR IMPLEMENTING SAME | 68461304_RU | 64429743_RU,68072625_RU | A61B 5/0004,A61B 5/11,A61B 5/1121,A61B 5/1123,A61B 5/1124,A61B 5/6824,A61B2562/0219 | [
"A61B 5/11"
] | 103,670 |
4,809,252 | 2002-02-08 | 23,020,582 | N | The invention provides compounds, compositions and methods for inhibiting th e glycine transporter (2) and for affecting glycine transporter mediated neuronal activity. Useful compounds comprise compounds of Formula I : wherei n n is (0, 1, 2 or 3) and R is independently halogen, hydroxy, lower alkyl optionally substituted with halogen or lower alkoxy optionally substituted with halogen ; X is O, S or N-R' (wherein R's is lower alkyl, aryl, heteroaryl, aryl-lower alkylene or heteroaryl-lower alkylene) ; Q may be absent or present, and when present, it is represented by the formula : in which n, R and X are as defined above ; when Q is present, W is a lower alkylene and when Q is absent, W is optionally substituted lower alkyl, optionally substituted aryl, optionally substituted heteroaryl (optionally substituted aryl)-X-CH2-or (optionally substituted heteroaryl)-X-CH2-in whic h X is as defined above ; or a pharmaceutically acceptable salt thereof. These compounds are particularly useful for treating diseases of the nerve and muscle, including psychoses, pain, epilepsy, neurodegenerative diseases, stroke, head trauma, multiple sclerosis and the like, and of muscle disorder s, including diseases or conditions associated with increased muscle contractio n, such as spasticity and myoclonus. In addition, the compounds may be used to discover other agents with improved activity in assays in which the compound s of the invention are active. | en | HETEROCYCLIC INHIBITORS OF GLYCINE TRANSPORTER 2 | 12697034_US | 13089520_US,13076307_US | A61K 31/41,A61K 31/4196,A61K 31/4245,A61K 31/433,A61P 21/00,A61P 21/02,A61P 25/00,A61P 25/04,A61P 25/08,A61P 25/18,A61P 25/28,A61P 43/00,C07D 271/113,C07D 403/04,C07D 409/12,C07D 417/04 | [
"A61K 31/4196",
"A61K 31/433",
"A61K 31/41",
"A61K 31/4245",
"A61K 31/497",
"A61P 21/02",
"C07D 417/04",
"A61P 21/00",
"A61P 25/00",
"A61P 25/28",
"A61P 25/18",
"C07D 403/04",
"A61P 25/08",
"A61P 25/04",
"C07D 409/12",
"C07D 249/12",
"A61P 43/00",
"C07D 271/10",
"C07D 285/12",
"C07D 271/113"
] | 7,940 |
550,105,707 | 2020-04-22 | 69,386,882 | N | Provided is a semantic disambiguation method of Chinese place names based on encyclopedia knowledge base and word vectors, comprising: generating a pre-training word vector model; generating a place name recognition model based on Bi-LSTM and CRF integration; performing place name recognition and word vector representation in a text where the place name to be disambiguated is located; obtaining sense name of the ambiguous place name and sense content thereof; performing place name recognition and word vector representation in sense content of the ambiguous place name; performing similarity calculation on the place name list word vector in the text where the ambiguous place name is located and the place name list word vector in the sense content of the ambiguous place name; performing sense frequency statistics of ambiguous place names; performing comprehensive evaluation of the geographic position which the ambiguous place name most possibly refers to. The above method can effectively solve the problems that the same place name may correspond to a plurality of geographic positions and the same position may have a plurality of description names in the position service, is suitable for the situation that the place names in text description are distributed discretely and sparsely under the historical background of the Internet+, and meets the urgent requirements for intelligent position services, holographic position maps and the like. | en | SEMANTIC DISAMBIGUATION METHOD OF CHINESE PLACE NAMES BASED ON ENCYCLOPEDIA KNOWLEDGE BASE AND WORD VECTORS | 63785113_CN | 80672374_CN,80437331_CN,63621329_CN,68130518_CN,80680285_CN | G06F 17/18,G06N 3/0445,G06N 3/0454,G06N 3/08 | [
"G06F 40/279"
] | 152,871 |
34,864,713 | 1994-09-29 | 27,469,928 | Y | PURPOSE:To obtain a bright color display without using color filters, to widen visual field angles and to lessen color changes of display colors by temp. CONSTITUTION:Polarizing plates 21, 22 are arranged across a liquid crystal cell 10 where liquid crystal molecules are twist oriented. A biaxial phase difference plate 23 having a refractive index nx in an x-axis direction which is a delay axis phase, a refractive index ny in a y-axis direction and a refractive index nz in a z-axis direction in a relation nx>nz>ny is arranged between the front side polarizing plate 21 and the liquid crystal cell 10. The directions of the transmission axes of the polarizing plates 21, 22 and the delay axis of the phase difference plate 23 and the orienting direction of liquid crystal moleculates near the substrate of the liquid crystal cell 10 are so set that the respective wavelength light rays of the incident light after transmitting the front side polarizing plate 21 are made into elliptically polarized light rays of the respectively different polarization states by the double refractive effect of the phase difference plate 23 and the double refractive effect of the liquid crystal layer 18 of the liquid crystal cell 10 and that the light quantity ratios of the respective wavelength light rays of the light transmitted through the rear side polarizing plate 22 among these light rays attains the ratios corresponding to the desired colored light rays. | en | COLOR LIQUID CRYSTAL DISPLAY DEVICE | 30350986_ | 30483172_,20201151_ | G02F2203/34 | [
"G02F 1/1335"
] | 24,936 |
423,857,207 | 2013-12-11 | 48,770,552 | N | A cognitive power source comprises a power source control component, a power source power component, and a power source perception component. The power source power component is connected to the power source control component and the power source perception component. The power source perception component is connected to the power source control component and a power source load. The power source control component receives information sent by the power source perception module, and controls the power source power component to come into a dormant state or an activated state; and comprises a power source power factor correction module (F), a start power source module (E), a processor module (G), and a power distribution module (K). The power source power component comprises a power source power module (A, B, C, D), provides all power energy required by the load, and can come into a dormant state or be woken up to come into a working state under the control of the power source control component. The power source perception component comprises a power calculation module (H) and an acquisition module, and perceives a variation of a power of the power source load in real time, and sends corresponding information to the power source control component. The power source reduces consumption of the power source in a case where loads of part of power components and a transformer are lower, thereby extending the service life of the power source. | en | COGNITIVE POWER SOURCE | 47779688_CN | 48585633_CN | H02M 1/0032,H02M 1/4225,H02M 3/3376,Y02B 70/10 | [
"H02M 1/00"
] | 90,182 |
56,253,197 | 2007-11-12 | 38,138,616 | Y | An electronic device used for measuring and detecting the variations of at least one input signal, comprising a first component (OSC1) providing an output signal, the oscillation frequency of which is representative of the input signal, a reference oscillator (OSC2), a phase comparison component (CP) providing a comparison between the oscillations of the first component (OSC1) and the reference oscillator (OSC2), in particular for a loop control of the reference oscillator on the first component, or of the first component on the reference oscillator, or for a mutual control, and elastic coupling means (C) between the first component (OSC1) and the reference oscillator (OSC2). The device comprises synchronization means (S) designed to alternatively block or authorize the influence of the oscillations of the first component (OSC1, R) on the phase comparison (CP) component and on the coupling means (C), and means (MP/MC) for determining a derived signal (DSCP) of the output signal evolution of the phase comparison (SCP) component. The applications of the device comprise the tactile human/machine interface using an electrostatic or induction-type functioning principle, signal conditioning of physical unit to be measured, particularly of capacitative, inductive, thermal, ultrasound nature or a signal used in radiofrequency identification (RFID), and signal conditioning in the field of communications, for example in frequency modulation. | en | ELECTRONIC DEVICE USED FOR THE MEASURING AND DETECTING THE VARIATIONS OF AT LEAST ONE INPUT SIGNAL | 1572273_FR,4222294_FR | 1572273_FR,4222294_FR | H03K 17/962 | [
"H03K 17/96"
] | 54,356 |
505,130,001 | 2017-07-20 | 61,002,115 | N | The present invention relates to a device for inferring social emotion on the basis of emotion synchronization and a method therefor. According to the present invention, a method for inferring social emotion by using a device for inferring social emotion, comprises the steps of: receiving lifelogging data of a user, including at least one of biological signal measurement data, behavioral measurement data, environmental measurement data, and web content use data; generating two-dimensional emotion information according to a pleasant-unpleasant axis and an arousal-relaxation axis by time slot at preset time intervals by using the lifelogging data, wherein the two-dimensional emotion information is generated by category including at least one of biological information (H), behavioral information (B), environmental information (S), and content information (C); generating a social emotion synchronization pattern by determining whether emotion is synchronized between the user and other users, through the generated two-dimensional emotion information; and inferring social emotion of the user by comparing the generated social emotion synchronization pattern with a social emotion database. As described above, according to the present invention, social emotion is inferred by analyzing lifelogging data according to the interactions with neighboring people and an environment, and thus social emotion of an individual can be accurately inferred. | en | DEVICE FOR INFERRING SOCIAL EMOTION ON BASIS OF EMOTION SYNCHRONIZATION AND METHOD THEREFOR | 69139627_KR | 68742588_KR,64116617_KR,64662400_KR,64256792_KR,64056084_KR,67594641_KR | G06F 17/18,G06F 40/20,G06Q 30/0201,G06Q 30/0203,G06Q 30/0255 | [
"G06F 17/27",
"G06F 17/18",
"G06Q 30/02"
] | 123,931 |
408,949,679 | 2009-11-24 | 40,470,039 | Y | FIELD: chemistry.SUBSTANCE: invention relates to novel derivatives of indole and benzoxazine, possessing positive allosteric modulating activity with respect to mGluR2 receptor. In formula (I)Rrepresents Calkyl, substituted with trifluoromethyl, Rrepresents cyano or halogeno, Rrepresents hydrogen, Calkyl, Calkyl, substituted with Ccycloalkyl, pyridinyl, hydroxy Calkyl, CalkyloxyCalkyl, 4-tetrahydropyranyl, 4-(hydroxy)-cyclohexanyl, 4-(hydroxy)-4-(Calkyl)cyclohexanyl, phenyl, pyridinyl methyl, pyridinyl methyl, substituted with one Calkyl group, or phenyl or pyridinyl, substituted with one or two substituents, selected from group, consisting of halogeno and Calkyl, Rrepresents hydrogen or halogeno, A represents radical of formula -CH=CH-(a) or -CH-CH-O-(b), where one or two hydrogen atoms can be substituted with Calkyl. Invention also relates to pharmaceutical composition, containing claimed compounds, and to compound for application in treatment or prevention of central nervous system disorder, selected from the group: anxiety disorders, psychotic disorders, personality disorders, mood disorders, migraine, epilepsy or convulsive disorders, cognitive disorders, attention deficit/hyperactivity syndrome, nervous anorexia, neurogenic bulimia, neurodegeneration, neurotoxicity, ischemia, alcohol addiction, cocaine addiction, nicotine addiction, opioid addiction.EFFECT: obtaining novel indole and benzoxazine derivatives.15 cl, 3 tbl, 6 ex | en | INDOLE AND BENZOXAZINE DERIVATIVES AS MODULATORS OF METABOTROPIC GLUTAMATE RECEPTORS | 68154859_US,68283840_CH | 64404965_ES,63530266_BE,63887627_ES | A61P 3/04,A61P 25/00,A61P 25/06,A61P 25/08,A61P 25/12,A61P 25/14,A61P 25/16,A61P 25/18,A61P 25/22,A61P 25/24,A61P 25/28,A61P 25/30,A61P 25/32,A61P 25/34,A61P 25/36,C07D 265/36 | [
"A61K 31/538",
"A61K 31/506",
"A61P 25/00",
"C07D 265/34",
"A61K 31/437",
"C07D 471/04"
] | 81,122 |
317,608,032 | 2010-01-04 | 41,209,701 | N | The present invention relates to a language learning device and method therefor in which a story image stored in a digital data apparatus is used to create a sentence, and one of the words in the sentence is learned in a foreign language; comprising: a first storage unit (102a) for storing the image of a story comprising a plurality of characters; a second storage unit (12a) for storing the names of the characters; a third storage unit (12b) for storing, as speech, the names of the characters stored in the second storage unit; a fourth storage unit (12c) for storing sentences containing the names of the characters; a fifth storage unit (12d) for storing, as speech, the sentences stored in the fourth storage unit; a sixth storage unit (12e) for storing words other than the names of the characters in the sentences stored in the fourth storage unit; a seventh storage unit (12f) for storing, as speech, the words stored in the sixth storage unit; an eighth storage unit (12g) for storing the words stored in the sixth storage unit, as words in a foreign language; and a ninth storage unit (12h) for storing, as foreign-language speech, the words stored in the eighth storage unit. The language learning device and method therefor of the present invention are advantageous for learning in that they enable the student to remember words for a long time and to learn a large number of words and foreign-language sentences (dialogue) in a short time. | en | LANGUAGE LEARNING DEVICE AND METHOD THEREFOR | 33067620_KR,41676042_KR | 33067620_KR | G09B 5/06,G09B 19/06 | [
"G09B 19/06",
"G09B 5/06"
] | 62,784 |
528,624,665 | 2019-09-19 | 65,418,340 | N | The present disclosure provides an image segmentation apparatus and method, and a related computing device. The image segmentation apparatus comprises: a feature extraction module, configured to extract, from an inputted image, N image semantic features with different scales, N being an integer not less than three; and a feature processing module, including a plurality of cascaded dense refinement networks and configured to perform feature processing on the N image semantic features to obtain a binarized mask image of the inputted image. Each dense refinement network is configured to generate, from a plurality of semantic features inputted thereto, low-frequency semantic features in the following manner: performing dense connection convolution processing on the plurality of semantic features to obtain a plurality of corresponding global image features, performing feature fusion on the plurality of global image features to obtain fused global image features, and performing pooling processing on the fused global image features to generate and output low-frequency semantic features. The plurality of semantic features are selected from a group formed by the N image semantic features and the low-frequency semantic features generated by the dense refinement network. The feature processing module is configured to obtain the binarized mask image on the basis of the low-frequency semantic features generated by the dense refinement network. | en | IMAGE SEGMENTATION APPARATUS AND METHOD, AND RELATED COMPUTING DEVICE | 63835156_CN | 77336468_CN,63617600_CN | G06N 3/02,G06N 3/0454,G06N 3/0481,G06N 3/08,G06T 7/10,G06T 7/11,G06T2207/20016,G06T2207/20081,G06T2207/20084,G06V 10/40,G06V 10/454,G06V 10/462,G06V 10/82,G06V 20/00 | [
"G06K 9/00"
] | 138,654 |
46,759,169 | 1998-04-29 | 26,750,786 | Y | In an analysis of a set of discrete multidimensional data which can be represented in an array with a topology, where the array that can be mapped to an image space of discrete elements, such as digitized image data, seismic data and audio data, genotype/phenotype classifications are imposed on the topology, and then molecular biological-like processes (annealing, fragmentation, chromatographic separation, fingerprinting, footprinting and filtering) are imposed upon that topology to perceive classifiable regions such as edges. More specifically, an image feature probe constructed of strings of contiguous image fragments of the class of N-grams called linear N-grams, anneals genotypes of topological features by complementary biological-like techniques in the same manner that complex biological systems are analyzed by genetic mapping, sequencing and cloning techniques. For example, molecular biological probes anneal with molecular biological genotypes and then are used to classify those genotypes. More specifically, an image feature probe constructed of strings of contiguous pixels, of the class of N-grams called linear N-grams, mates genotypes of topological features by complementary biological-like techniques in the same manner that molecular biological probes mate with molecular biological genotypes. The topological genotypes are by definition orthogonal elements to edges. Techniques are disclosed for defining the feature probes. | en | Method and apparatus for biomathematical pattern recognition | 5897052_US | 5757658_US | G06V 10/44,G16B 20/00,G16B 25/00,G16B 25/20,G16B 40/00 | [
"G06F 19/18",
"G06K 9/46",
"G06F 19/24",
"G06F 19/20"
] | 32,788 |
53,491,547 | 1997-05-15 | 15,563,903 | Y | PCT No. PCT/JP96/01703 Sec. 371 Date May 15, 1997 Sec. 102(e) Date May 15, 1997 PCT Filed Jun. 20, 1996 PCT Pub. No. WO97/00658 PCT Pub. Date Sep. 1, 1997According to the present invention, in a manual electric wheelchair equipped with a supplemental drive force system consisting of a man power detect means constituted by a potentiometer (27), etc., a signal transmit means constituted by a rotation transformer (39), a control means constituted by a controller (35), a drive force transmit means constituted by a drive motor and gears (G1-G4), etc., a set consisting of the man power detect means, the signal transmit means, the control means, the drive motor, and the drive force transmit means is arranged about an axle (11) of the hub (2a) and of the stationary plate (31) of each drive wheel (2), the stationary plate (31) being fixed to a frame (3) at a location in the vicinity of the hub (2a) in a manner such that the stationary plate (31) is prohibited from rotating, and each drive wheel (2) is capable of being attached to and detached from the chair body together with the respective stationary plate (31). Therefore, according to the present invention, a compact and rational arrangement of the supplemental drive force system is realized, and a mass producibility is improved through the consequent reduction in number and lengths of the wires as well as simplification of manufacture and assemble work of the manual electric wheelchair. | en | Manual electric wheelchair | 5262143_JP | 5657760_JP,5337510_JP | A61G 5/045,A61G 5/048,A61G 5/0825,A61G 5/1054,A61G2203/14,B60K 7/0007,B60K 17/043,B60K2007/0046,B60K2007/0061,B60L 3/0046,B60L 15/2036,B60L 50/52,B60L 50/66,B60L2200/34,B60L2220/44,B60L2220/46,B60L2220/50,B60L2240/421,B60L2250/24,B60L2270/145,B60Y2200/84,Y02T 10/64,Y02T 10/70,Y02T 10/72,Y10S 180/907 | [
"B60K 17/04",
"B60L 15/20",
"A61G 5/04",
"B60L 11/18",
"B60K 7/00",
"A61G 5/08"
] | 46,208 |
440,103,727 | 2014-07-10 | 53,044,362 | Y | A method and system are provided for analyzing motion data collected by a cardiovascular navigation system to determine a level of dyssynchrony exhibited by a heart. The method and system comprise obtaining a motion data (MD) set that includes a plurality of map point specific motion data (PSMD) collections of motion data. The motion data in each PSMD collection includes information indicating an amount and direction of motion that occurred at a corresponding map point on a wall of the heart during a select period of time, such as during at least one cardiac cycle. The method and system divide the PSMD collections of data into sectors which may be associated with corresponding phases of the cardiac cycle, and analyze the sectors of the PSMD collections to determine at least one of a slope, a magnitude and a direction of motion at the corresponding map point of the wall of the heart during the associated sector. The method and system assess at least one of the slope, magnitude and direction of motion occurring at the corresponding map points of the wall, and calculate a measure of dyssynchrony in the map points of the wall based on at least one of i) whether the map points move in a select direction during select sectors, ii) whether the map points move by a select amount during the select sectors, iii) a direction of strain waveform during select phases of the cardiac cycle and/or iv) an extent of strain during the select phases. | en | Method and system to assess mechanical dyssynchrony based on motion data collected by a navigation system | 5267593_US | 11033748_US,48418692_US,10660846_US | A61B 5/0036,A61B 5/02405,A61B 5/0245,A61B 5/1128,A61B 5/742,A61B 6/032,A61B 6/487,A61B 6/503,A61B2576/023,G16H 30/40 | [
"A61B 5/0245",
"A61B 5/00",
"A61B 5/02",
"A61B 6/00",
"A61B 6/03",
"A61B 5/11",
"A61B 5/024"
] | 93,397 |
553,653,785 | 2021-04-08 | 76,674,831 | N | The invention discloses an antenna work parameter intelligent sensor and a multifunctional intelligent sensing network. The sensor comprises a single-frequency, double-frequency or multi-frequency antenna and a single-frequency, double-frequency or multi-frequency receiving and measuring module for receiving satellite navigation signals; an upgraded and expanded intelligent resolving module; an inertial sensing measurement module; and sensing devices for sensing temperature, humidity, wind speed, water vapor, vision, environment gas and the like are added according to requirements. Especially, through intelligent development of an algorithm and embedding of program software, optimal matching and polarization isolation between the antenna and a radio frequency device are realized, and the anti-noise capability and the quick response of signals are improved. Output information collected and resolved in the multifunctional intelligent sensor is greatly increased, and the information and data are transmitted to a platform through mobile communication, so that a multifunctional multi-parameter sensing network is formed; the multifunctional multi-parameter sensing network comprises a satellite navigation precise time service network, an air pressure-based elevation measurement network, an environmental parameter wide-area monitoring network and a plurality of sensing networks in a ground differential enhanced reference station network. | en | Antenna work parameter intelligent sensor and multifunctional intelligent sensing network | 73537048_ | 63095839_,61985042_,69436332_,61517433_,58348911_ | G01C 5/06,G01C 21/165,G01S 3/46,G01S 19/41,G01S 19/54,H04J 3/0644,H04J 3/0682,H04W 4/025,H04W 4/38 | [
"H04W 4/38",
"H04J 3/06",
"G01C 5/06",
"G01C 21/16",
"H04W 4/02",
"G01S 19/54",
"G01S 3/46",
"G01S 19/41"
] | 155,229 |
551,907,464 | 2020-07-31 | 69,608,120 | N | A method for measuring the depth of anesthesia, a storage medium, and an electronic device. The method comprises: obtaining an electroencephalography signal and extracting the signal characteristic of the electroencephalography signal (S10); obtaining a predicted electroencephalography signal corresponding to the electroencephalography signal and extracting the predicted signal characteristic of the predicted electroencephalography signal (S20); and generating a simulated electroencephalography signal corresponding to the electroencephalography signal according to the signal characteristic and the predicted signal characteristic, and determining a depth of anesthesia value according to the simulated electroencephalography signal (S30). The predicted electroencephalography signal generated by a network brain model is combined with an actually measured electroencephalography signal to obtain the simulated electroencephalography signal, and then the depth of anesthesia is calculated according to the simulated electroencephalography signal. In this way, the actually measured electroencephalography signal can be verified according to the predicted electroencephalography signal, which can improve the accuracy of the depth of anesthesia obtained by measurement, improve the reliability of the depth of anesthesia, and improve the dynamic real-time tracking capability and anti-interference capability of the depth of anesthesia measurement. | en | METHOD FOR MEASURING DEPTH OF ANESTHESIA, STORAGE MEDIUM, AND ELECTRONIC DEVICE | 69045029_CN | 80656621_CN,80693502_CN,68311142_CN,71647720_CN,67204924_CN,67207466_CN,69060890_CN,71126206_CN,69047934_CN | A61B 5/316,A61B 5/369,A61B 5/4821,A61B 5/72,A61B 5/7203,A61B 5/7246,A61B 5/7275 | [
"A61B 5/00"
] | 154,188 |
483,966,897 | 2017-03-13 | 59,855,443 | Y | Although limited proteolysis of the histone H3 N-terminal tail (H3NT) is frequently observed during mammalian differentiation, the specific genomic sites targeted for H3NT proteolysis and the functional significance of H3NT cleavage remain largely unknown. Here Applicant reports the first method to identify and examine H3NT-cleaved regions in mammals, called ChIP of acetylated chromatin (ChIPac). By applying ChIPac-Seq to an established cell model of osteoclast differentiation, Applicant discovered that H3NT proteolysis is selectively targeted near transcription start sites of a small group of genes and that most H3NT-cleaved genes displayed significant expression changes during osteoclastogenesis. Applicant also discovered that the principal H3NT protease of osteoclastogenesis is matrix metalloproteinase 9 (MMP-9). In contrast to other known H3NT proteases, MMP-9 primarily cleaved H3K18-Q19 in vitro and in cells. Furthermore, Applicant's results support CBP/p300-mediated acetylation of H3K18 as a central regulator of MMP-9 H3NT protease activity both in vitro and at H3NT-cleavage sites during osteoclastogenesis. Importantly, Applicant found that abrogation of H3NT proteolysis impaired osteoclastogenic gene activation concomitant with defective osteoclast differentiation. Applicant's collective results support the necessity of MMP-9-dependent H3NT proteolysis in regulating gene pathways required for proficient osteoclastogenesis. | en | Method for identifying histone tail proteolysis | 5371679_US | 45374347_US,50061240_US | C12Q 1/6804,G01N 33/5308 | [
"C12Q 1/6804",
"C12Q 1/68",
"G01N 33/53"
] | 111,894 |
538,485,660 | 2020-05-07 | 72,564,269 | Y | The invention discloses a multi-dimensional geographic information self-adaptive intelligent interaction method based on eye movement, which comprises the following steps of: transforming an eye tracker equipment interface to support natural interaction between an eye movement mode and a geographic information system; positioning in real time to obtain geographic coordinates of a fixation point; designing a double-side and single-side fixation eye control interaction mode; when the two sides of the screen are watched, judging whether the watching time is smaller than a threshold value, if not,executing an eye control tool to trigger a map function, and if yes, performing no operation; when the user watches the screen on one side, judging whether the watching time is smaller than a threshold value, if not, executing zooming-in or zooming-out operation, and if yes, performing no operation; judging whether all fixation points in a next threshold value are still in a fixation area after the eye-controlled map function is executed through bilateral fixation, if yes, triggering a secondary fixation function, and highlighting the positions and attributes of interest points and related ground features in the area; the invention further discloses a multi-dimensional geographic information self-adaptive interaction device based on eye movement. And the accuracy and effectiveness of personalized geographic information service are improved. | en | Multi-dimensional geographic information self-adaptive intelligent interaction method and device based on eye movement | 58805072_ | 60221027_,59657504_,67255092_,65628792_ | G06F 3/013,G06F 3/04842,G06F 3/04847,G06V 40/19 | [
"G06F 3/01",
"G06K 9/00",
"G06F 3/0484"
] | 145,173 |
552,871,245 | 2021-06-24 | 71,911,818 | N | This document provides a blockchain consensus method, node, and system based on a Honey Badger Byzantine fault tolerance (BFT) consensus mechanism. The method is applicable to a consensus node and includes the following steps: counting consensus votes of N consensus proposals in a current round of consensus; traversing a first set to: migrate consensus proposals that each receive greater than or equal to f+1 and less than 2f+1 identical consensus votes into a second set; and migrate consensus proposals that each receive less than f+1 identical consensus votes into a third set to update to opposition opinions, where f is a number of fault tolerant consensus nodes; traversing a fourth set to: migrate consensus proposals that each receive greater than or equal to 2f+1 identical consensus votes into the second set; for consensus proposals that receive greater than or equal to f+1 and less than 2f+1 identical consensus votes, migrate consensus opinions that cannot be traced into the third set to update to opposition opinions, and migrate consensus opinions that can be traced into the second set to update to agreement opinions; merging the second set into the first set, and merging the third set into the fourth set, to perform a next round of consensus until the first set includes N consensus proposals on which consensus may be reached; and determining a consensus result based on counted consensus votes in the last round of consensus. | en | BLOCKCHAIN CONSENSUS METHOD, NODE, AND SYSTEM BASED ON HONEY BADGER BYZANTINE FAULT TOLERANCE CONSENSUS MECHANISM | 77631222_CN | 83187201_CN | G06F 11/10,G06F 16/214,G06F 16/27,G06F 21/64,H04L 9/0643,H04L 9/3239,H04L 9/50,H04L 41/0659,H04L 41/30 | [
"G06F 21/64",
"H04L 9/32"
] | 154,767 |
54,450,747 | 1997-12-10 | 26,708,649 | Y | A man-machine interface device is provided which employs rigid links interconnected by measured revolute joints to provide the position of a hand relative to a reference location, such as a desk, keyboard or chair. By proper selection of kinematic structure, and by placing one of the joints near the elbow and extending one of the links along the line of the forearm, translation of the joint-link structure is minimized, hence the undesirable perception of friction and inertia are also minimized. When Hall-Effect sensors are used as the revolute joint goniometers, the permanent magnets of neighboring joints are placed in the same link so the effects of magnetic field interference can be calibrated out. A hand-sensing joint-link device as described herein can produce data which is more noise free, at a higher sample rate, with less latency and more robust that competing electromagnetic, optical and ultrasonic sensing technologies, without adding much encumbrance. The output from the hand-sensing device may be used to produce a graphical 'virtual hand' on a computer monitor which mimics the movement of the measured physical hand. The hand-sensing joint-link device may also be used with a finger-sensing joint-link device to provide data on the movements of the fingers and hand. When a right and left finger- and hand-sensing joint-link devices are used, the wearer can use both hands to manipulate virtual objects on a computer monitor. | en | Forearm-supported exoskeleton hand-tracking device | 5851614_US | 10731261_US,10731260_US,7904915_US,10731259_US,10731258_US | G06F 3/011,G06F 3/014 | [
"G06F 3/00",
"G06F 3/01"
] | 49,305 |
551,631,951 | 2020-11-17 | 76,150,453 | N | A user-independent brain-computer interface device according to the present invention comprises: a memory for storing a program for classifying tasks from brain signals of a user using a task classification learning model of brain signals, which is built based on metric learning; and a processor for performing the program. The task classification learning model of brain signals is configured to: create user label data by adding identification numbers for each user to a task label indicating a motion imaginary class to be classified by paradigm for brain signal acquisition; build an artificial neural network based on anchor data randomly extracted from the user label data, positive data consisting of data having the same user label as the anchor data, and negative data composed of data having a user label different from the anchor data, and perform metric learning using a similarity loss function that reduces a distance between a feature vector of the anchor data and a feature vector of the positive data and increases a distance between the feature vector of the anchor data and a feature vector of the negative data in a process of constructing each artificial neural network; and build a classification network using the weights of the artificial neural network. Accordingly, it is possible to provide a user-independent brain-computer interface that can be used independently by each user, and thus, user convenience can be improved. | en | - BRAIN-COMPUTER INTERFACE APPARATUS BASED ON FEATURE EXTRACTION REFLECTING SIMILARITY BETWEEN USERS USING DISTANCE LEARNING AND TASK CLASSIFICATION METHOD USING THE SAME | 64807294_KR | 70327859_,70253334_,59317410_ | G06N 3/061,G06N 3/08 | [
"G06N 3/08",
"G06N 3/06"
] | 153,996 |
524,331,946 | 2018-07-13 | 69,004,425 | Y | The present invention relates to a system and a method for analyzing individual and team interaction capabilities by using sensor data. According to the present invention, a system for analyzing individual and team interaction capabilities by using sensor data comprises: a data acquisition unit measuring distances from other members by using a proximity sensor worn by each member in a group, and acquiring conversation data between the members by using a motion sensor and a voice sensor; a one-to-one interaction calculation unit calculating one-to-one interaction strength by using the acquired conversation data; an individual interaction calculation unit calculating individual interaction strength by using one-to-one interaction strength data; and a social network analysis unit integrating the one-to-one interaction strength data and the individual interaction strength data, and derives a network relationship between the members by using an integrated result. According to the present invention, the interaction patterns and personal characteristics of the members can be analyzed objectively by using the sensed data, and the social competence of the members can be raised through coaching on the strengths and weaknesses of the individual characteristics. In addition, members who exhibit a sense of alienation can be detected in advance by using the calculated interaction pattern data, and actions can be taken before bullying occurs. | en | SYSTEM FOR ANALYSING INDIVIDUAL AND TEAM INTERACTIONAL CAPABILITY USING SENSOR DATA AND METHOD THEREOF | 67015129_KR | 73044734_,72916378_,73008363_ | G06Q 10/06393,G06Q 10/06398 | [
"G06Q 10/06"
] | 135,565 |
47,162,926 | 1991-11-26 | 24,505,132 | Y | In accordance with the present invention, the R, G, B color image signals from a single sensor having a color filter array are all transformed to $g(G)-space by changing them to R?1/$g(G), G?1/$g(G), B?1/$g(G), respectively, where $g(G) is approximately 2.4. In this space, all operations such as color differencing, interpolation of those missing pixels required for color differencing, compression, decompression, edge enhancement and final interpolation of all missing pixels are performed without further transformation of the image signals. For the same final bit rate, noise in the reproduced image is reduced by refraining from interpolating the missing color pixels prior to compression of the image data. In order to avoid over-emphasizing features of the image which are already sufficiently sharp, the combined outputs of horizontal and vertical sharpening processes are subjected to a paring process of the invention which suppresses strong high-spatial frequency components as a function of their amplitude. In the compression-decompression process of the invention, each spatial frequency coefficient of the spatial frequency-transformed image is divided by a normalization factor determined by cascading in the spatial frequency domain the human visual system contrast sensitivity function, the edge enhancement modulation transfer function and the image display modulation transfer function and inversing the resulting matrix elements. | en | IMAGE COMPRESSION WITH COLOR INTERPOLATION FOR A SINGLE SENSOR IMAGE SYSTEM | 15672693_US | 37587666_US,37588551_US | H04N 1/58,H04N 1/64,H04N 9/04515,H04N 11/042,H04N 19/30 | [
"H04N 7/26",
"H04N 1/58",
"H04N 11/04",
"H04N 1/64",
"H04N 7/30",
"H04N 9/68",
"H04N 9/04",
"H04N 9/07"
] | 33,567 |
47,972,544 | 1980-03-10 | 10,503,812 | Y | Visual faculty testing apparatus is proposed to facilitate contrast sensitivity assessment. Existing procedures are limited and involve the presentation to a subject of a target of which the overall contrast is varied to determine the minimum level at which it is detectable. The present apparatus differs by presenting a target array of light and dark areas alternating in one direction, and with the luminance of at least one set of areas varying towards that of the other set in another direction, the apparatus including control means affording adjustment of the rate of this luminance variation whereby points of minimum contrast detection can be moved across the target. The amount of adjustment for each movement to prescribed subjectively judged positions or target patterns then gives a comparative basis for contrast sensitivity. The existing procedures commonly involve successive presentation of grating targets of respectively different uniform spacial frequency, with the minimum contrast detection levels being plotted against frequency in a contrast sensitivity function characteristic, and is time-consuming. The procedure can be compacted by use of the present apparatus in a preferred form to present a single target with progressively varying spacial frequency in the one direction, and by the provision of a plurality of controls for luminance variation rate adjustment in respective zones across the target in said one direction. | en | Visual faculty testing apparatus | 6336108_GB,6336109_IE | 6336111_IE,6336110_GB | A61B 3/022,A61B 3/063 | [
"A61B 3/06"
] | 36,514 |
331,344,079 | 2010-04-17 | 43,485,029 | Y | The invention relates to an input method of multi-language general multi-key co-striking type and a keyboard device, particularly suitable for inputting languages, such as Chinese, English, Japanese, Korean, German, Russian, and the like. On a basis of abiding by speech rules of various languages, the invention adopts the input method and the keyboard device, i.e. a multi-language general keyboard or a keyboard main body which is provided with mutually symmetrical fourteen keys or thirteen keys at the left side and the right side and the measure that a plurality of syllables (or necessarily singlehanded input consonants) can be realized once through singlehanded multi-key co-striking so that the keyboard input speed of various languages can catch up with the speech or thinking rhythm, and the aim that what you want and what you speak are what you get is realized. The physiological structures of the fingers are fully considered in the keyboard layout of the consonant/initial keys and vowel/final keys respectively at the left part and the right part so that co-striking is easy and natural without troubling users, the combinations of the consonants/initials and the vowels/finals resemble common voice symbol modes of various languages as far as possible, and the process of grasping the input method is easy and understandable, accords with a rule and can more rapidly and conveniently realize the aim that everyone can rapidly input. | en | Input method of multi-language general multi-key co-striking type and keyboard device | 20420427_ | 20420427_ | G06F 3/0233 | [
"G06F 3/023"
] | 65,978 |
320,416,806 | 2008-03-05 | 39,618,820 | N | Embodiments of the invention pertain to methods for imaging a light absorption coefficient distribution. Embodiments of the subject method can be implemented without knowing the strength of incident light in advance and without requiring careful calibrations in the non-scattering medium. Embodiments of the method can combine conventional photoacoustic tomography (PAT) with diffusing light measurements coupled with an optimization procedure based on the photon diffusion equation. Images of absorbing targets as small as 0.5 mm in diameter embedded in a 50 mm diameter background medium can be quantitatively recovered. Small targets with various optical contrast levels relative to the background can be detected well. Embodiments of the subject reconstruction method can include first obtaining the map of absorbed optical energy density. Embodiments can obtain the map of absorbed optical energy density through a model-based reconstruction algorithm that is based on a finite element solution to the photoacoustic wave equation in frequency domain subject to the radiation or absorbing boundary conditions (BCs). The distribution of optical fluence can then be obtained. Embodiments can obtain the distribution of optical fluence using the photon diffusion equation based optimization procedure. The distribution of optical absorption coefficient can then be recovered from the distribution of optical fluence and the absorbed energy density. | en | Method and Apparatus for Tomographic Imaging of Absolute Optical Absorption Coefficient in Turbid Media Using Combined Photoacoustic and Diffusing Light Measurements | 11484501_US,11484500_US,6683351_US,11484502_US,11484499_US,5218041_US | 11484501_US,6683351_US,11484500_US,11484502_US,11484499_US | A61B 5/0073,A61B 5/0095,A61B 5/4528 | [
"G06K 9/00"
] | 63,262 |
442,230,253 | 2014-10-01 | 53,495,342 | N | We cluster information in a video by similarity, and sort them by occurrence frequency and by temporal variation frequency. Temporal invariants are defined as information with temporal variation frequencies are substantially zero. These invariants are shared along temporal dimension of videos for data compression, information gaining. We judge some of the invariants as background. Clustering also create structure in a videos. These clusters can be recognized from named objects, patterned relationship database and landscape database. With these recognized names and patterns, the structure of video can be serialized into natural language. Background from multiple videos can then be merged and concatenated into large continuous backgrounds. Large quantity of outdoor video can form a landscape database with moving objects and people been removed. Overlapping background from different time allows for high variant portion of the background been identified for Lost and Found and intelligence gathering application. Viewing point and viewing angle normalization, multiple resolution matching (and recoding) biased toward lower resolution preceding higher resolution are important technique to vastly improving opportunities of finding good matching. Viewing point and viewing angle normalization produce a set of discrete viewing points and viewing angles, where information from different viewing point and viewing angles are further shared. | en | Video Factorization By Temporal Stability And Spatial Resolutions III | 45394246_US | 45394246_US | G06F 16/51,G06F 16/532,G06F 16/5838,G06F 16/5854,G06F 16/5866,G06F2216/05,G06F2216/15,G06V 20/41,H04N 5/2258,H04N 5/232,H04N 5/23232,H04N 5/247 | [
"G06F 17/30",
"H04N 5/232",
"H04N 7/08",
"H04N 5/225",
"G06K 9/00"
] | 94,449 |
39,692,948 | 2000-01-29 | 19,604,354 | N | A game device and method using brain waves are provided. The game device and method can control a game picture displayed on a monitor screen using the measured brain waves. The game device includes a unit for measuring and inputting brain waves, and a computer for comparing, analyzing and processing the measured brain waves with respect to reference brain waves and driving and outputting a stored game program in accordance with a processed result. The brain wave measurement and input unit includes a head band which is worn on the head of the user and where electrodes for detecting brain waves are attached, an amplifier for amplifying the brain waves measured in the head band, and a computer interface for converting the amplified brain wave signals into computer-readable signals. The reference brain waves are obtained by following a change in statistical parameters of an alpha wave and a beta wave extracted from the measured brain waves, or are input from a brain wave database. A current brain wave of the user is compared with the reference brain wave, to feed a visual and aural signal appropriate for the user back to the user. Thus, a standard of the brain wave having signal matching each user can be set to adjust his or her own brain waves having an appropriate difficulty of the game. Further, the left and and right brain waves can be simultaneously used to give an effect of correcting asymmetry of the left and right brains. | en | GAME DEVICE USING BRAIN WAVES AND GAMING METHOD THEREFOR | 32589769_KR,32589778_KR,32589770_KR,32589771_KR,32589768_KR | 32589770_KR,32589771_KR,32589778_KR | A61B 5/374,A63F 9/00,A63F 9/24,A63F2250/26 | [
"A61B 5/374",
"A63F 9/00",
"A63F 9/24"
] | 26,081 |
53,628,672 | 1997-03-14 | 26,704,406 | Y | A method and apparatus for the diagnosis and rehabilitation of abnormal postural sway of a subject during standing or the performance of movement tasks is provided. Body sway sensors, such as angular velocity transducers, are attached to the body, such as the upper torso, of the subject. Output signals from the body sway sensors are transformed into detailed body sway angular displacement and velocity information by a system processor. The body sway angular displacement and velocity information may be displayed to an operator for diagnosis of the subject's balance or gait disorders. The angular displacement and velocity information may also be provided as feedback to the subject, to augment the signals normally used by the subject's brain to help stabilize body sway and improve balance. Rehabilitory feedback may be in visual, auditory, and/or tactile form, and/or in the form of electrical stimulation of the vestibular nerve. For visual feedback, a lightweight imaging system mounted on a pair of eyewear may be used to project a body sway angle and angular velocity feedback display into an eye of the subject. An angular position and velocity based body sway diagnosis system in accordance with the present invention may be used to monitor simultaneously the body sway of multiple subjects, and to provide rehabilitory feedback to such subjects, without interfering with or restricting the normal movement activities of the subjects. | en | Method and apparatus for angular position and velocity based determination of body sway for the diagnosis and rehabilitation of balance and gait disorders | 5796729_CH | 5796730_CH | A61B 5/1116,A61B 5/1117,A61B 5/1121,A61B 5/4023,A61B 5/6823,A61B2505/09,A61B2562/0219 | [
"A61B 5/11"
] | 46,622 |
539,987,554 | 2019-08-28 | 67,883,539 | N | A machine learning-based infant developmental condition predicting method and apparatus, a storage medium, and an electronic device, relating to the technical field of computer programs. The method comprises: obtaining single-time limb movement data of a sample to be detected and corresponding month age data (101); performing data processing on the single-time limb movement data of said sample to obtain a characteristic value, corresponding to the month age data, for single-time limb movement for said sample (102); substituting characteristic values of the predetermined number of times of the single-time limb movement corresponding to said sample and the corresponding month age data into a mathematical model of a stacked extreme learning machine for performing logic operation (103); and obtaining a prediction result of an infant developmental condition by using an output result of the logic operation of the stacked extreme learning machine as a basis of normal development or retarded development of said sample (104). The apparatus, the storage medium, and the electronic device can be used for achieving the infant developmental condition predicting method. By means of the method, the developmental condition prediction can be performed on infants, the possibility of infant development retardation is further obtained, and accordingly, a reliable basis can be provided for early intervention of the infant development retardation. | en | MACHINE LEARNING-BASED INFANT DEVELOPMENTAL CONDITION PREDICTING METHOD AND APPARATUS, STORAGE MEDIUM, AND ELECTRONIC DEVICE | 63942312_CN | 67868187_CN,79115609_CN,69638817_CN | A61B 5/1114,A61B 5/7275,A61B2503/04 | [
"A61B 5/11"
] | 146,231 |
518,049,068 | 2018-03-21 | 67,612,754 | Y | Disclosed is a business model (BM) technology related to an online community service using a mind map. According to one embodiment of the present invention, a mind map chatbot support service platform for organizing a note and sharing information and an operation method thereof allow a chatbot appearing on a chatting window of mind map content to perform searching for at least one from a plurality of first and second related search terms and allow a user to drag at least one from first and second document information, first and second image information, first and second video information, and first and second web information included in first and second big data information searched by the searching to a mind map window to connect a first block box with a second block box or connect the second block box with a third block box. Accordingly, the first and second big data information collected through a chatbot are actively used, thereby providing motivation to increase performance ability in accordance with information sharing required for a collaborative work when a note is organized and a project is performed by using the mind map. Moreover, a chatbot, part of artificial intelligence technologies, which is one of the fourth industrial revolutions, is applied to a mind map such that convenience of a user using mind map content is increased in information collection, thereby contributing to industrial and national development. | en | Mind Map ChamBot Support Service Platform for Organizing a Notes and Sharing Information and Drive of the Same | 73420922_KR | 65842244_ | G06F 3/04845,G06F 16/901,G06F 16/90335,G06F 16/951,G06Q 50/30,H04L 51/02 | [
"G06Q 50/30",
"G06F 16/00",
"H04L 12/58",
"G06F 3/0484"
] | 130,797 |
16,982,537 | 1993-04-08 | 13,960,343 | Y | An adaptive feedforward equalizer (12) has switched (N - 1) tap-gain coefficients and a fixed tap-gain coefficient for the reference delay-line tap to operate on an incoming IF or baseband signal according to a first error signal ( epsilon 1) representative of the difference between the input and output of a decision circuit (15). All tap-gain coefficients are active in the absence of an interference from an undesired source to cancel precursor distortion. The (N - 1) tap-gain coefficients are nullified when such an interference is detected to reduce its precursor-cancelling capability. A first feedback equalizer (17) operates on the output of the decision circuit according to the first error signal to cancel postcursor distortion. A second feedback equalizer (18) nonlinearly filters the output of the decision circuit according to a second error signal ( epsilon 2) and generates an estimate of a desired component of the output of the feedforward equalizer. The outputs of the second feedback equalizer (18) and the feedforward equalizer (12) are combined to produce the second error signal, or an estimate of an undesired component of the output of the feedforward equalizer. In the presence of the interference, the desired component estimate ( epsilon 2) is combined with the outputs of the feedforward equalizer (12) and the first feedback equalizer (17) to produce an equalized signal for coupling to the decision circuit. <IMAGE> | en | Interference canceller with feedforward transversal filter having switched tap-gain coefficients | 11871_JP | 3041798_JP | H04B 1/123 | [
"H04B 3/06",
"H04B 1/12",
"H04B 1/10",
"H04B 15/00"
] | 18,314 |
47,491,324 | 1998-06-26 | 7,781,560 | Y | PCT No. PCT/DE96/02453 Sec. 371 Date Jun. 26, 1998 Sec. 102(e) Date Jun. 26, 1998 PCT Filed Dec. 19, 1996 PCT Pub. No. WO97/24056 PCT Pub. Date Jul. 10, 1997The invention discloses a process for the automatic determination of hearing of newborns and infants, by detecting the auditory brainstem responses (ABRs) or otacoustic emissions (OAEs), by testing in a frequency domain, by applying a predetermined initial acoustic stimulation level to a subject, pre-averaging a predetermined, sufficient, number of sweeps to yield a set of subaverages (SA), calculating a predetermined number, n, of frequency spectra based on the subaverages (SA), applying a q-sample uniform scores test or a q-sample Watson U2 test to determine phase and/or amplitude differences among the n frequency spectra. The number of frequency spectra, n, is determined by continuously averaging a predetermined number of initial sweeps to provide a predetermined number, m, of subaverages (SA), calculating m frequency spectra based on the m subaverages, and repeatedly applying the q-sample uniform scores test or the q-sample Watson U2 test to the m frequency spectra, carrying out a test run using the m q-sampled frequency spectra, increasing the number of included frequency spectra stepwise and carrying out an additional test run at each step until all n spectral terms are included or until an auditory brainstem response (ABR) or otacoustic emission (OAE) is detected. | en | Process for automatic determination of hearing acuity, particularly of newborns and infants | 6137494_DE | 6137498_DE,6137496_DE,6137497_DE,6137495_DE | A61B 5/12,A61B 5/38 | [
"A61B 5/0484",
"A61B 5/12"
] | 36,160 |
563,015,523 | 2021-11-03 | 57,985,058 | N | Abstract Characteristics of proteins, peptides, and/or peptoids can be determined via two-dimensional correlation spectroscopy and/or two-dimensional co-distribution spectroscopies. Spectral data of the proteins, peptides, and/or peptoids can be obtained with respect to an applied perturbation. two-dimensional co-distribution analysis can be applied to generate an asynchronous co-distribution plot for the proteins, peptides, and/or peptoids to define the population of proteins in solution. In the two-dimensional asynchronous plot, a cross peak can be identified as correlating with an auto peak in the two-dimensional correlation synchronous plot associated with aggregation of the proteins, peptides, and/or peptoids. The two-dimensional asynchronous cross peak can be used to determine an order of a distributed presence of spectral intensities with respect to the applied perturbation. For example, for two wavenumbers v1 and v2, the value of the cross peak corresponding to the two wavenumbers can indicate a presence of spectral intensity at v1 relative to the presence of spectral intensity at v2. WO 2017/127679 PCT/US2017/014338 MAb Monomer E ~AggregatesFI.1 0 1 1 1 1______________1'___ 0 5 10 15 20 25 Minutes -4 E- -82 -16 FIG.l1B -20 0 20 40 60 80 100 120 Temperature ['C] 14 R Rec 8: 7.99 mgmL 14 Rec 12: 5.99 mgmL 121 --- Rec16: 3.0mgmL -~ IIJ';.~Rec2l:1.2mgmL 10 1 'i Rec 31:0.48 mg/mLl 4 -1 2- FIG.I1C Hydrodynamic Radius (nm) | en | Method and system for spectral data analysis | 74403644_US | 59892772_,66280758_ | G01N 21/255,G01N 21/35,G01N 21/552,G01N 29/46,G01N2021/3595,G06F 21/572,G16B 15/00,G16B 15/20,G16B 40/00,G16B 40/10,G16B 45/00,G16C 20/10 | [
"G01N 21/65",
"G16B 15/20",
"G16B 40/10",
"G16B 45/00"
] | 161,311 |
53,981,299 | 1992-05-18 | 27,464,229 | Y | A silver halide color photographic light-sensitive material comprises a novel cyan dye-forming coupler or a combination of a specific cyan dye-forming coupler with an alpha -pivaloylacetoanilide type yellow dye-forming coupler or a pyrazoloazole type magenta dye-forming coupler, the specific cyan dye-forming coupler being contained in the silver halide emulsion layer in the form of an emulsion of lipophilic fine particles obtained by mixing the coupler with at least one water-insoluble and organic solvent-soluble homo- or co-polymer to form a dispersion. The silver halide color photographic light-sensitive material is excellent in the reproduction of yellow, magenta and cyan colors and has low fog of cyan. Thus, the light-sensitive material can provide color images excellent in the fastness of the cyan color images. The cyan dye-forming coupler is represented by general formula (II): <IMAGE> (II) wherein R1 represents an aliphatic group, an aromatic group or a heterocyclic group; R2 represents a group or atom which can be bonded with the heterocyclic ring; X represents a hydrogen atom or a group which can be eliminated; Y represents a divalent bonding group having at least one amido bond and/or ester bond; Z represents a dissociative group; A, B, C, D and E each represents a nitrogen atom or a carbon atom a which hydrogen atom is bonded, provided that one or two of them represent a nitrogen atom; and n represents 0, 1 or 2. | en | Silver halide color photographic light-sensitive material | 5243715_JP | 5662011_JP,5234483_JP,5674133_JP,5677555_JP,7313890_JP,5302546_JP | C07D 213/75,C07D 213/76,C07D 471/04,G03C 7/3815 | [
"C07D 213/76",
"C07D 471/04",
"C07D 213/75",
"G03C 7/38"
] | 47,729 |
537,568,634 | 2020-03-05 | 72,335,388 | N | A brain-inspired spoken language understanding system, comprises: a first module that facilitates the conversion of a voice input into phoneme sequences; a buffer module that facilitates the storing of the phoneme sequences until they are clustered into a first storage as one or more meaningful thought representations; a second module that facilitates the monitoring of the reasoning, disambiguation, and prioritization of the system, in addition to controlling the system; a seventh module and an eighth module that facilitate the capturing of at least one non-verbal signal from a conversation, and create at least one time-synchronized non-verbal object, with the help of a third knowledge base; a third module that facilitates the conversion of the phoneme sequences and at least one time-synchronized non-verbal object into sequences of phonetics-based words; a fourth module that facilitates the conversion of the phonetics-based words into sequences of thought representations, with the help of a first knowledge base; a fifth module that facilitates the fine-tuning of the thought representations, with the help of the first knowledge base and a second knowledge base; and a sixth module that maintains the instance of conversation as thought representations in the form of one or more connected stories. A device for implementing the brain-inspired spoken language understanding system and its method of functioning are also disclosed. | en | BRAIN-INSPIRED SPOKEN LANGUAGE UNDERSTANDING SYSTEM, A DEVICE FOR IMPLEMENTING THE SYSTEM, AND METHOD OF OPERATION THEREOF | 74757383_IN | 74727842_IN,74652391_IN | G10L 15/02,G10L 15/08,G10L 15/1815,G10L 15/1822,G10L 15/187,G10L 15/22,G10L 15/25,G10L 15/30,G10L 25/18,G10L2015/025,G10L2015/223,G10L2015/228,G16H 10/20,G16H 10/60,G16H 15/00,G16H 40/63,Y02A 90/10 | [
"G10L 15/18",
"G16H 10/60",
"G10L 15/187",
"G10L 15/02",
"G10L 25/18",
"G10L 15/30",
"G10L 15/22",
"G10L 15/25"
] | 144,489 |
33,560,892 | 1990-07-03 | 6,384,371 | N | PURPOSE: To attempt an electric current distribution to be determined not to be distorted from the actual distribution by specifying the surface that an electric power source exists and by limiting the capacity element positioned on the surface of the re-structure with reference to representation containing the morphogenetic structure of an object. CONSTITUTION: The measurement system of a component of the magnetic flux density in the radial direction is stored in a helium cryostat 4 placed on the cranial bones of a patient. Actually, the magnetic field is measured at three measuring points. For example, in the case of ictus epilepticus, it becomes an induced current caused by a stimulation of sense organs same as electric currents occurring in nature. These surfaces are specified with reference to the device 10 by an interactive display used by the operator for the center of an electric activity. Furthermore, a re-structure device 11 re-constitutes the density of an applied electric current from measured values of magnetic flux density of several picture elements at the same time spots each time at individual voxels V1 [(1) is i...s. Here, (s) is the number of voxels on the surface marked)]. Thus, as the re-structure is limited by a main body device 10 to the specified surface or the capacity element V1, the electric density distribution of this re-structure can not be substantially distorted from the actual distribution. | en | METHOD AND APPARATUS FOR RECONFIGURING SPACE CURRENT DISTRIBUTION IN OBJECT OF ORGANISM | 30340753_ | 31686403_,31686404_ | A61B 5/245 | [
"A61B 5/05",
"G01R 33/035",
"A61B 5/04"
] | 24,845 |
423,283,323 | 2013-12-18 | 50,977,711 | Y | A detector (110) for determining a position of at least one object (112) is proposed. The detector (110) comprises: at least one transversal optical sensor (130), the transversal optical sensor (130) being adapted to determine a transversal position of at least one light beam (138) traveling from the object (112) to the detector (110), the transversal position being a position in at least one dimension perpendicular to an optical axis (116) of the detector (110), the transversal optical sensor (130) being adapted to generate at least one transversal sensor signal; at least one longitudinal optical sensor (132), wherein the longitudinal optical sensor (132) has at least one sensor region (136), wherein the longitudinal optical sensor (132) is designed to generate at least one longitudinal sensor signal in a manner dependent on an illumination of the sensor region (136) by the light beam (138), wherein the longitudinal sensor signal, given the same total power of the illumination, is dependent on a beam cross-section of the light beam (138) in the sensor region (136); at least one evaluation device (142), wherein the evaluation device (142) is designed to generate at least one item of information on a transversal position of the object (112) by evaluating the transversal sensor signal and to generate at least one item of information on a longitudinal position of the object (112) by evaluating the longitudinal sensor signal. | en | Detector for detecting at least one object, use thereof, method for detecting at least one object, human-machine interface, entertainment device, tracking system and camera | 5625251_DE | 12523382_DE,47658626_DE,43911473_DE,46662559_DE,16914057_DE,43475309_DE | G01C 3/06,G01S 3/781,G01S 3/786,G01S 7/4816,G01S 17/46,G01S 17/66,G01S 17/89 | [
"G01B 11/00",
"G01S 7/481",
"G01C 3/00"
] | 89,855 |
503,575,666 | 2018-04-17 | 59,849,671 | Y | The invention relates to the field of computers, in particular to a method for a computer to simulate human brain in learning knowledge, a logic theory machine and a brain-like artificial intelligenceservice platform. The method for the computer to simulate human brain in learning knowledge comprises the following steps: establishing a computer brain-like knowledge base, including a lexicon, a class library, a resource library and an intelligent information management library; making the computer call a semantic analyzer to create class basic elements and semantic properties generated by a single sentence with natural language statements by a class method, and store the class basic elements and semantic properties in the class library; and making the computer call the semantic analyzer togenerate an intelligent application specific to an intelligent application demand based on intelligent knowledge elements in the class library, and store the intelligent application in the intelligent information management library. A cognitive model for the human brain to recognize objective things by intelligent calculation and judgment and the intelligent mechanism of logical reasoning based on the cognitive model are simulated to a computer system by an artificial method, thereby realizing the intelligent function of a machine to simulate human brain to study and work, and forming a brain-like artificial intelligence service platform. | en | Method for computer to simulate human brain in learning knowledge, logic theory machine and brain-like artificial intelligence service platform | 58964635_ | 60472568_ | G06F 8/20,G06F 8/30,G06F 8/33,G06F 40/211,G06F 40/289,G06F 40/295,G06F 40/30,G06N 5/022,G06N 5/04,G06N 5/046,G06N 20/00 | [
"G06F 17/27",
"G06F 40/30",
"G06F 8/33"
] | 122,886 |
523,896,921 | 2019-10-15 | 68,251,527 | Y | The invention relates to a cognitive place feature recognition method for an urban subway station domain. The method comprises the steps of acquiring and preprocessing subway station and POI data are;removing POIs with abnormal coordinates; taking subway station names and surrounding POI addresses as search terms at the same time, and obtaining the cognitive intensity of the public to the subwaystation-surrounding POI relationship according to the number of co-occurrence webpages obtained by searching; according to the obtained cognitive intensity, extracting POIs having significant cognitive relationships with the subway station; extracting the boundary of the cognitive range of the subway station domain according to the extracted spatial position of the POI with significant cognitive relationship with the subway station; and recognizing cognitive semantic features of the subway station area according to the type of the POI in the cognitive range of the subway station area. The invention further relates to a cognitive place feature recognition system for the urban subway station area. The method pays attention to the cognitive place characteristics of the urban subway station area, extracts the cognitive range of the urban subway station area and identifies the semantic characteristics of the urban subway station area so as to serve geographic information retrieval, positionservice, urban planning and other applications. | en | Cognitive place feature recognition method and system for urban subway station area | 60144378_ | 61624958_,67290398_ | G06F 16/29,G06F 16/951,G06F 16/9537,G06K 9/6226,G06Q 50/26 | [
"G06F 16/9537",
"G06F 16/29",
"G06F 16/951",
"G06V 10/762",
"G06Q 50/26",
"G06K 9/62"
] | 135,255 |
330,227,489 | 2010-06-21 | 43,386,520 | N | Human internal structure such as a frontal sinus and other parts is noninvasively measured and using this measured result, the accuracy of a bioinstrumentation is improved. In order to noninvasively measure a frontal sinus distribution, a bioinstrumentation device has: a light source for irradiating light to a subject; a light detector for detecting the light irradiated from the light source and having propagated through the inside of the subject; a control unit for controlling the light source and the light detector; an amplifier for amplifying a light detection signal; an analog-digital converter; an analysis unit for analyzing a digital signal; and a display unit for displaying the analyzed result. The bioinstrumentation device measures the optical characteristics of the subject, whereby the subject's internal structure including the frontal sinus is measured and displayed. The bioinstrumentation device also uses frontal sinus distribution information obtained by using a light transmissivity distribution measured at a plurality of light source-detector distances to adjust a light source power and a light detector sensitivity in optical brain function measurements, thereby providing means for correcting bioinstrumentation data of optical brain function measurements, fMRI, and other measurements. Further, in fMRI, a measurement in which artifacts are reduced is achieved by previously using the frontal sinus distribution. | en | BIOINSTRUMENTATION DEVICE | 42179092_JP,39508978_JP,5239188_JP,19758775_JP | 39508978_JP,19758775_JP,42179092_JP | A61B 5/0059,A61B 5/4064 | [
"A61B 10/00",
"A61B 5/1455"
] | 65,689 |
554,973,157 | 2021-05-14 | 77,031,334 | N | The invention discloses a group inter-person relationship quality evaluation and intervention method and system based on a go/no-go test task. The method comprises the following steps: establishing a double-person go/no-go electroencephalogram experiment multi-test-time test task; carrying out double-person cooperation task testing in the group in turn, recording testing data, and collecting electroencephalogram signals in the task completion process synchronously; extracting test data and electroencephalogram signal data, calculating a task performance index and an electroencephalogram index, and performing classified prediction of the double-person relationship quality level through a machine learning classification model in combination with self-reported relationship quality data; and extracting paired subjects of which the relationship quality levels are lower than a predetermined level in the group, performing intervention, and ending the test task until the relationship quality levels of all the paired subjects in the group reach the predetermined level, thereby obtaining a group relationship quality evaluation score. According to the invention, a real-time feedback relation quality closed-loop training system is established, and the purpose of self-adaptive training is achieved in combination with modes of cognitive tasks, electroencephalogram signal analysis, machine learning, self-adaptive feedback and the like. | en | Group inter-person relationship quality evaluation and intervention method and system based on go/no-go test task | 59003648_ | 65228889_,61053047_,67470834_ | A61B 5/162,A61B 5/165,A61B 5/72,A61B 5/7264,G06K 9/6256,G06K 9/6267,G06N 20/00,G16H 15/00,G16H 20/70,G16H 50/30 | [
"A61B 5/00",
"A61B 5/372",
"A61B 5/16",
"G16H 50/30",
"G16H 15/00",
"G16H 20/70",
"G06N 20/00",
"G06K 9/62",
"A61B 5/377"
] | 156,052 |
16,321,238 | 2006-07-27 | 36,169,157 | Y | 1-amino-1-pyridylaminoalkyl-cyclopropane derivatives (I) are new. 1-amino-1-pyridylaminoalkyl-cyclopropane derivatives of formula (I) are new n : 1-6; R 1, R 2 and R 7hydrogen, 1-6C linear or branched alkyl or arylalkyl; R 3 and R 4hydrogen or 1-6C linear or branched alkyl; R 5 and R 6hydrogen, 1-6C alkyl or alkoxy, halo, hydroxy, cyano, nitro, 2-6C linear or branched acyl, 1-6C alkoxycarbonyl, trihaloalkyl or trihaloalkoxy (all linear or branched), or amino, optionally substituted by 1 or 2 1-6C linear or branched alkyl; aryl : (bi)phenyl, naphthyl (optionally di- or tetra-hydro), indanyl or indenyl, each optionally substituted by one or more of halo, 1-6C alkyl or alkoxy, hydroxy, cyano, nitro, 2-7C acyl, 1-6C alkoxycarbonyl, trihaloalkyl or trihaloalkoxy, or amino, optionally substituted by 1 or 2 1-6C alkyl An independent claim is included for several methods for preparing (I). [Image] ACTIVITY : Nootropic; Neuroprotective; Neuroleptic; Antismoking; Analgesic; Antiparkinsonian. In the social recognition test in rats ( Psychopharmacology, 91 (1987) 363), unspecified (I) were active at 1-3 mg/kg, intraperitoneally, indicating a strong memory-improving effect. MECHANISM OF ACTION : (I) are specific ligands for the central alpha 4beta 2 nicotinic receptors. When tested by the method of Mol. Pharmacol., 39 (1990) 9 for displacement of tritiated cytisine from such receptors in rat brain, unspecified (I) had Ki about 1 nM. | en | POLYSBUSTITUIRTE 1,1-PYRIDINYLAMINOCYCLOPROPANAMIN DERIVATE, VERFAHREN ZU DEREN HERSTELLUNG UND DIESE ENTHALTENDE PHARMATUETISCHE ZUSAMMENSETZUNG | 17361_FR | 1078755_FR,1080744_FR,2012750_FR,2012751_FR,1080745_FR | A61K 31/44,A61K 31/4406,A61P 25/00,A61P 25/04,A61P 25/16,A61P 25/24,A61P 25/26,A61P 25/28,A61P 25/32,A61P 25/34,A61P 43/00,C07D 213/74 | [
"C07D 213/74",
"A61P 25/00",
"A61K 31/44"
] | 16,683 |
551,451,834 | 2020-08-26 | 76,091,403 | N | According to a technical aspect of the invention, there is provided a multiple unmanned aerial vehicles navigation optimization method is performed at a ground base station which operates in conjunction with unmanned aerial vehicles-base stations which are driven by a battery to move and cover a given trajectory point set, the multiple unmanned aerial vehicles navigation optimization method including: calculating an age-of-information metric by receiving an information update from the unmanned aerial vehicles-base stations through communication, when the ground base station is present within a transmission range of the unmanned aerial vehicles-base stations; setting conditions of a trajectory, energy efficiency, and age of information of each of the unmanned aerial vehicles-base stations; and executing Q-learning for finding a trajectory path policy of each of the unmanned aerial vehicles-base stations, so as to maximize total energy efficiency of an unmanned aerial vehicles-base station relay network to which the energy efficiency and the age of information are applied.According to the invention, the following effects are obtained. Age of information (AoI) that is a new matrix used to measure up-do-dateness of data is set, an edge computing environment for a remote cloud environment is provided by using the AoI, and a computing-oriented communications application can be executed by using the edge computing environment. | en | MULTIPLE UNMANNED AERIAL VEHICLES NAVIGATION OPTIMIZATION METHOD AND MULTIPLE UNMANNED AERIAL VEHICLES SYSTEM USING THE SAME | 5461981_KR | 79586079_KR,11812326_KR,72343789_KR | B64C 39/024,B64C2201/12,B64C2201/146,G05D 1/0027,G05D 1/104,G08G 5/0013,G08G 5/0026,G08G 5/003,G08G 5/0034,G08G 5/0039,G08G 5/0043,G08G 5/006,G08G 5/0069 | [
"G05D 1/00",
"B64C 39/02",
"G08G 5/00",
"G05D 1/10"
] | 153,816 |
488,604,011 | 2017-05-30 | 60,920,153 | Y | The present invention relates to a model-independent face landmark recognizing device in space augmented reality comprising: an image obtaining unit; a face feature detecting unit; and a landmark detecting unit. The image obtaining unit obtains a face image including a color image and a depth image. The face feature detecting unit detects a face area from the face image obtained in the image obtaining unit; measures a local binary pattern in the color image; and measures a face feature of the face image combined with a local before pattern and each local pattern by measuring each local pattern in the depth image. The landmark detecting unit forms a face topology tree which is a face topology relation tree by dividing an upper face landmark set into two lower groups; learns to have a partial landmark image including a face landmark partial set depending on the face topology tree in each node of a potential regression forest in a process of learning to have a plurality of test face images including an entire face landmark which coincides with a root node of the face topology tree; and calculates a result value of the partial landmark by accumulating a difference of position values stored in a division node and a leaf node by traversing the learned forest when the face feature of the face image detected in the face feature detecting unit is set as an input value. The present invention facilitates real-time virtual makeup. | en | User -independent Face Landmark Detection and Tracking Apparatus for Spatial Augmented Reality Interaction | 68128238_KR | 68761992_KR,68785090_KR,64319688_KR,64375262_KR,69150813_KR | G06V 10/469,G06V 40/16,G06V 40/168 | [
"G06K 9/48",
"G06K 9/00"
] | 114,598 |
53,783,050 | 2007-08-28 | 32,829,837 | Y | A computer simulation method is provided for modeling the behavioral expression of one or more agents in an environment to be simulated, then running a simulation of the modeled agent(s) against real-world information as input data reflecting changing conditions of the environment being simulated, and obtaining an output based on the modeled agent(s) response(s). The simulation method models the underlying cultural, social, and behavioral characteristics on which agent behaviors and actions are based, rather than modeling fixed rules for the agent's actions. The input data driving the simulation are constituted by real-world information reflecting the changing conditions of the environment being simulated, rather than an artificial set of predefined initial conditions which do not change over time. As a result, the simulation output of the modeled agent's responses to the input information can indicate more accurately how that type of participant in the simulated environment might respond under real-world conditions. Simulations can be run on global networks for agent types of different cultures, societies, and behaviors, with global sources of information. Simulation environments can include problems and situations in a wide range of human activity. Robust new visual tools are provided for discerning patterns and trends in the simulation data, including waveform charts, star charts, grid charts, and pole chart series. | en | Data visualization methods for simulation modeling of agent behavioral expression | 10202413_US,9873970_US,9873968_US,9873969_US | 9873969_US,9873968_US,9873970_US | G06N 3/004,G06T 11/206 | [
"G06F 17/50"
] | 47,096 |
551,853,632 | 2020-06-29 | 76,210,639 | N | Systems for continuous multivariate wagering process are disclosed. A continuous multivariate wagering electronic gaming system includes an interactive controller constructed to receive one or more stochastic elements of a multivariate wagering process from a process controller, generate an interactive user interface using the one or more stochastic elements, detect player interactions of a player with the interactive user interface, determine one or more interactive intermediate states of the continuous multivariate wagering process based on the player interactions and the one or more stochastic elements, and communicate the one or more interactive intermediate states to the process controller. The system further includes the process controller operatively connected to the interactive controller that includes a random number generator. The process controller is constructed to generate one or more stochastic components using the random number generator, generate the one or more stochastic elements using the one or more stochastic components, determine one or more chance-based intermediate states of the continuous multivariate wagering process, communicate the one or more stochastic elements to the interactive controller, receive the one or more interactive intermediate states from the interactive controller, and determine a wagering outcome for the continuous multivariate wagering process using the intermediate states. | en | SYSTEMS FOR CONTINUOUS MULTIVARIATE WAGERING | 45212550_US | 52630462_US | G07F 17/3213,G07F 17/3267,G07F 17/34 | [
"G07F 17/34",
"G07F 17/32"
] | 154,115 |
571,444,504 | 2020-10-29 | 74,312,131 | N | A maze (2) level evaluation system, comprising a maze (2), a brain wave testing apparatus (3), a brain wave analysis module (4), a level evaluation module (5), a control module (8), a camera (6) for photographing the maze (2), and a display and recording system (7) for displaying and recording the actual maze (2) walking condition on site. The brain wave analysis module (4) analyzes corresponding fives types of brain wave characteristic values of smooth walking, unsmooth walking, competition anxiety, competition excitement and anxiety overcoming of a competitor in a competition, a score is calculated by means of an entropy weight method, and machine evaluation for a maze (2) level of the competitor is realized. An actual maze (2) walking condition photographed by the camera (6) is provided for evaluation personnel to obtain the final comprehensive evaluation according to experience-based judgment in conjunction with the machine evaluation. Further comprised is a maze (2) level evaluation method based on an evaluation system, and the maze capability of the Micromouse is improved by means of deep learning by using brain wave characteristics of an excellent testee. Machine evaluation is recombined by using an entropy weight method, so as to obtain the optimal machine evaluation, such that a maze (2) level of a competitor can be objectively, accurately and scientifically analyzed in conjunction with artificial evaluation. | en | BRAIN TRAINING EVALUATION SYSTEM BASED ON SMART MAZE AND EVALUATION METHOD THEREFOR | 81492166_CN,85252745_CN,80675089_CN | 79299414_CN,81242575_CN | A61B 5/165,A61B 5/72,G06N 3/02 | [
"A61B 5/16"
] | 165,480 |
527,656,124 | 2019-12-16 | 69,804,916 | N | The invention is a method for automatic detection of neurocognitive impairment, comprising, generating, in a segmentation and labelling step (11), a labelled segment series (26) from a speech sample (22) using a speech recognition unit (24); and generating from the labelled segment series (26), in an acoustic parameter calculation step (12), acoustic parameters (30) characterizing the speech sample (22). The method is characterised by determining, in a probability analysis step (14), in a particular temporal division of the speech sample (22), respective probability values (38) corresponding to silent pauses, filled pauses and any types of pauses for respective temporal intervals thereof; calculating, in an additional parameter calculating step (15), a histogram by generating an additional histogram data set (42) from the determined probability values (38) by dividing a probability domain into subdomains and aggregating durations of the temporal intervals corresponding to the probability values falling into the respective subdomains; and generating, in an evaluation step (13), decision information (34) by feeding the acoustic parameters (30) and the additional histogram data set (42) into an evaluation unit (32), the evaluation unit (32) using a machine learning algorithm. The invention is furthermore data processing system, a computer program product and a computer-readable storage medium for carrying out the method. | en | AUTOMATIC DETECTION OF NEUROCOGNITIVE IMPAIRMENT BASED ON A SPEECH SAMPLE | 47719729_HU | 76779402_HU,76288455_HU,77405181_HU,76259042_HU,77585793_HU,76222370_HU | A61B 5/4088,A61B 5/4803,A61B 5/7267,G10L 15/04,G10L 25/66,G10L 25/87,G10L2015/025,G16H 50/20 | [
"G10L 15/04",
"G10L 15/02",
"G10L 25/66",
"A61B 5/00",
"G10L 25/87"
] | 137,948 |
56,608,438 | 2007-06-29 | 38,521,499 | Y | FIELD: medicine. ^ SUBSTANCE: group of invention refers to medicine and medical equipment, namely devices and methods for automatic titration of a laser applied in ophthalmological surgery. The presented method consists in the fact that an algorithm is used to configure a laser by one or more user inputs. The first user input stimulates execution of the algorithm and actuates the laser under the preset scheme. The second user input terminates the laser actuation and stimulates the algorithm to determined one or more laser parameters used to configure said laser. A finite laser power at the moment of the termination of the laser actuation is the algorithm input. The finite laser power provides the basis to determine one or more laser parameters by the algorithm. The method for laser autotitration is implemented by using a device comprising a user interface, a processor module and a memory. The user interface is configured in such a manner to receive one or more user inputs of the laser control parameters. The memory is functionally connected for the processor module and includes operational commands which actuates the processor module to execute the algorithm. The algorithm is able to configure the laser by one or more laser control parameters. ^ EFFECT: use of the declared group of inventions shall enables higher effectiveness of a surgical procedure ensured by automation of the laser titration process. ^ 33 cl, 5 dwg | en | DEVICE AND METHOD FOR LASER AUTOTITRATION | 34717114_CH | 68545400_US | A61F 9/008,A61F 9/00821,A61F 9/00823,A61F2009/00863,A61F2009/00868 | [
"A61F 9/008",
"A61B 18/20"
] | 54,730 |
498,675,358 | 2017-02-24 | 63,169,457 | N | A content determination system for operating a space for experiencing interactive crowd participation content comprises: a pre-experience physical feature detection unit for detecting physical features of an experiencer who wants to enter an experience space for experiencing an interactive content; an environmental conditions detection unit for detecting the environmental conditions of the experience space; a post-experience physical feature detection unit for detecting physical features of the experiencer who has experienced the content in the experience space; a pre-experience emotion processing unit for generating pre-experience emotion information of the experiencer based on the physical features detected by the pre-experience physical feature detection unit; an environmental conditions processing unit for generating environmental conditions information based on the environmental conditions detected by the environmental conditions detection unit; a post-experience emotion processing unit for generating post-experience emotion information of the experiencer based on the physical features detected by the post-experience physical feature detection unit; and a content processing unit for determining an optimum content that can cause a particular emotion of the experiencer, using the pre-experience emotion information of the experiencer and the environmental conditions information, by means of a neural network method. | en | CONTENT DETERMINATION METHOD FOR CONTROLLING EMOTION OF EXPERIENCER SO AS TO DEVELOP INTERACTIVE CROWD PARTICIPATION CONTENT | 64724977_KR | 68784259_KR | G06K 9/00,G06N 3/02,G06Q 50/10,G06V 40/16 | [
"G06N 3/02",
"G06Q 50/10",
"G06K 9/00"
] | 120,178 |
568,416,736 | 2021-12-13 | 80,543,512 | N | The invention discloses a method for improving the generalization ability of an emotion recognition system, and the method comprises the following steps: 1, collecting an electroencephalogram signal: collecting the electroencephalogram signal, and making the electroencephalogram signal into a 310-dimensional vector sample; step 2, establishing an emotion recognition model: firstly mapping 310-dimensional electroencephalogram features into 256 dimensions, then mapping the 310-dimensional electroencephalogram features into 128 dimensions, and respectively inputting four branches: an emotion classification branch, an age regression branch, a gender classification branch and a number classification branch; the gender, age and serial number information of the trainee are input, emotional response is induced through external stimulation, electroencephalogram signals are collected and input into the model to obtain the gender, age and serial number information, and the obtained information and the input information of the trainee are subjected to pairing training; and 4, inputting a to-be-tested sample into the model, and outputting corresponding emotion, age, gender and serial number by the model. The method has the advantages that the cross-testee adaptive capacity of the model can be improved on the premise that a pre-experiment is not carried out, and the generalization capacity of the model can be effectively improved. | en | Method for improving generalization ability of emotion recognition system | 83935423_ | 59299512_,60446377_,61654367_,58795837_,83900693_ | G06K 9/00496,G06K 9/00536,G06K 9/6256,G06N 20/00 | [
"G06N 20/00",
"G06K 9/62",
"G06K 9/00"
] | 163,995 |
45,681,960 | 2002-11-22 | 21,730,821 | N | A joint angle indication system provides information related to an angular relationship between a first body part and a second body part that are pivotally coupled at a joint. The system includes a first arm member attached to the first body part, and a second arm member attached to the second body part. One end of the second arm member is pivotally coupled to one end of the first arm member. The system includes one or more joint angle variation sensors that provide one or more electrical characteristics that vary based on variation in the joint angle between the first and second arm members. The joint angle is variable over an angular range that includes a first angle and a second angle. A biofeedback circuit generates a first feedback signal when the joint angle is less than or equal to the first angle, generates a second feedback signal when the joint angle is greater than or equal to the second angle, and generates no feedback signal when the joint angle is less than the second angle and greater than the first angle. Preferably, the first and second feedback signals are audio signals, and the second feedback signal has a different frequency from the first feedback signal. The system also includes an angle display circuit that is electrically coupled to the one or more joint angle variation sensors. The angle display circuit visually displays a joint angle value based on the one or more electrical characteristics. | en | JOINT ANGLE INDICATION SYSTEM | 37109666_US | 37109667_,14794667_ | A61B 5/103,A61B 5/4528,A61B 5/486,A61B 5/6804,A61B 5/6824,A61B 5/7415,A61B2560/0295,G01D 9/005 | [
"A61B 5/103",
"A61B 5/00",
"G01D 9/00"
] | 31,218 |
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