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448,243,200 | 2013-02-25 | 47,884,535 | N | Disclosed is a polypeptide comprising an anti-CX3CR1 (anti-CX3 chemokine receptor 1) immunoglobulin single variable domain, wherein said anti-CX3CR1 immunoglobulin single variable domain consists essentially of four framework regions (FR1, FR2, FR3 and FR4) and three complementary determining regions (CDR1, CDR2 and CDR3) and wherein said polypeptide comprises a CDR1, CDR2 and CDR3 having the amino acid sequences: - GSIFSSTAMA, AISTVGVTK and DPRRGWDTRY, respectively; or - GSIFSSNAMA, AINSVGVTK and DPRRGWDTRY, respectively; or - GSIFSSNAMA, GINSVGITK and DPRRGWDTRY, respectively; or - GSIFSSNAMA, AINSVGITK and DPRRGWDTRY, respectively; or - GSIFSSNAMA, LINSVGITK and DPRRGWDTRY, respectively; or - GSIFSSNAMA, VINTVGITK and DPRRGWDTRY, respectively; or - GSIFSSNAMA, GINSVGIAK and DPRRGWDTRY, respectively; or - GSIFSSNAMA, VINKVGITK and DPRRGWDTRY, respectively; or - GSIFSSNAMA, AINSVGTTK and DPRRGWDTRY, respectively; or - GSIFSSNAKA, GINSVGITK and DPRRGWDTRY, respectively; or - GSIFSSNAMA, AISSVGVTK and DPRRGWDTRY, respectively; or - GSIFSSNAMA, AIQSVGVTK and DPRRGWDTRY, respectively; or - GSIFSSNAMA, AIGSVGVTK and DPRRGWDTRY, respectively; or - GSIFSSNAMA, AITSVGVTK and DPRRGWDTRY, respectively; or - GSIFSSNAMA, AINTVGVTK and DPRRGWDTRY, respectively; or - GSIFSSNAMA, AINGVGVTK and DPRRGWDTRY, respectively; or - GSIFSSNAMA, AINPVGVTK and DPRRGWDTRY, respectively; or - GSIFSSTAMA, AISSVGVTK and DPRRGWDTRY, respectively. | en | Cx3cr1-binding polypeptides | 6195327_ | 19712167_,43890242_,32576727_,43066047_,50080312_,52178131_ | A61K 39/3955,A61K2039/505,A61P 9/00,A61P 9/10,A61P 11/00,A61P 11/06,A61P 13/12,A61P 19/02,A61P 25/00,A61P 25/02,A61P 25/28,A61P 29/00,A61P 35/00,A61P 37/06,C07H 21/04,C07K 14/521,C07K 14/7158,C07K 16/28,C07K 16/2866,C07K2317/22,C07K2317/24,C07K2317/30,C07K2317/35,C07K2317/52,C07K2317/565,C07K2317/569,C07K2317/76,C07K2317/92,C07K2317/94,C07K2319/00,C07K2319/30,C12N 15/09,C12N 15/11,C12N 15/63 | [
"C07K 16/28"
] | 98,360 |
4,707,010 | 2001-03-28 | 18,604,333 | Y | It is an object of the present invention to provide a pharmaceutical composition, which permits the inhibition of nori-intentional motions such a s poriomania and hyperkinesia without any inhibition of intentional motions and in particular to provide a pharmaceutical composition capable of treating patients suffering from, for instance, poriomania and hyperkinesia. Moreover, it is also an object of the present invention to provide a method of using running neuron-inhibitory substances. A pharmaceutical composition for treating a patient suffering from symptoms accompanied by non-intentional motions such as poriomania and hyperkinesia, comprising a substance capable of pre-synaptically or post- synaptically inhibiting the running neurons. A method of using such substances permits the preparation of a pharmaceutical composition for treating a patient suffering from symptoms accompanied with unintentional motions such as poriomania and hyperkinesia. In particular, the pharmaceutical composition comprises a member selected from the group consisting of GABA B receptor agonists, GABA A receptor agonists, and GABA A receptor-enhancing substances, or any combination thereof. Moreover, the foregoing problems can likewise be solved by providing a method of using such running neuron-inhibitory substances, which permits the preparation of a pharmaceutical composition for treating a patient suffering from the foregoing symptoms. | en | A PHARMACEUTICAL COMPOSITION FOR INHIBITING NON-INTENTIONAL BEHAVIOR AND USE OF A RUNNING NEURON INHIBITORY SUBSTANCE FOR PRODUCING THE PHARMACEUTICAL COMPOSITION | 5989061_JP | 16667356_JP,16604007_JP | A61K 31/00,A61K 31/197,A61K 31/42,A61K 31/437,A61K 31/4409,A61K 31/5513,A61K 31/662,A61P 25/00,A61P 25/28 | [
"A61K 31/437",
"A61K 31/197",
"A61K 31/00",
"A61K 31/4409",
"A61P 25/28",
"A61K 31/662",
"A61K 31/5513",
"A61K 31/498",
"A61K 31/42"
] | 6,637 |
492,387,929 | 2016-10-12 | 58,290,380 | N | A non-attended event related potential brain-computer interface method for color sensation automatic identification, comprising the following steps: (1) connecting an event related potential processing device to an amplifier for detecting an electroencephalogram signal and to a multi-lead electrode cap; (2) configuring color stimulus parameters of a color stimulus image for a user in the event related potential processing device; (3) subjecting the user to acoustic stimulation at the same time as he or she is subjected to color stimulation; (4) acquiring an original electroencephalogram signal of a non-attended event related potential of the user during the aforementioned process; (5) and using the event related potential processing device to process and analyze the original electroencephalogram signal, thereby acquiring time sequence specific components generated by different color sense sequence stimulations, and establishing the non-attended event related potential brain computer interface for color sensation automatic identification according to said specific components. The non-attended event related potential brain-computer interface for color sensation automatic identification provides a new technical means for brain-computer interaction in color sensation automatic identification and an objective color sensation detection function, thus overcoming the defect of requiring the subjective cooperation of a user. | en | NON-ATTENDED EVENT RELATED POTENTIAL BRAIN-COMPUTER INTERFACE METHOD FOR COLOR SENSATION AUTOMATIC IDENTIFICATION | 67325554_CN | 67696380_CN | G06F 3/015,G06F2203/011 | [
"G06F 3/01"
] | 116,456 |
554,413,014 | 2020-04-21 | 71,170,946 | N | A multilingual-oriented semantic similarity calculation method for general place names, and the application thereof. The method comprises: determining the language of a place name according to language coding intervals, and normalizing the place name to a romanized place name according to document information; acquiring, from a place name information library, category attribute information of two place names, and calculating a place name category similarity according to a place name classification system and a place name category similarity model; calculating, according to a place name character string similarity model, a character string similarity of the romanized place name; acquiring, from the place name information library, the longitude and latitude for each of the two place names, and then calculating spatial proximity according to a place name spatial proximity model; and determining a place name semantic similarity according to the place name category similarity, the character string similarity, and the spatial proximity. Compared with place name similarity calculation methods which only take place name character strings or spatial geometric features into consideration, the method can significantly improve the accuracy of place name similarity calculation, and can better satisfy application requirements, such as querying, matching and sharing services for multilingual place names, in a big data environment. | en | MULTILINGUAL-ORIENTED SEMANTIC SIMILARITY CALCULATION METHOD FOR GENERAL PLACE NAMES, AND APPLICATION THEREOF | 63785113_CN | 63621329_CN,80753810_CN,63847826_CN,81496573_CN,63826113_CN | G06F 16/285,G06F 16/29,G06F 16/90344,G06K 9/6215 | [
"G06K 9/62"
] | 155,654 |
17,175,631 | 1996-04-24 | 23,941,460 | N | A dual head nuclear camera system automatically switchable (and optimized) to perform either SPECT imaging or PET imaging that utilizes attenuation correction for nonuniform attenuation in SPECT or PET modes. The dual head detectors contain switchable triggering circuitry so that coincidence detection for PET imaging and non-coincidence detection for SPECT imaging is available. The system uses a variable integration technique with programmable integration interval; variable sized clusters for centroiding, use of dual integrators per PMT channel, the event detection and acquisition circuitry of the camera system is switchable for PET and SPECT imaging. In such a switchable SPECT/Pet dual head camera system, a mechanism and method is shown to perform transmission and emission scanning sessions with two line sources and two detectors wherein two sliding transmission detection windows are employed to differentiate between transmission and emission photons. Transmission and emission data can be collected simultaneously. This system provides that the dual transmission detection windows are each associated with a particular line source and move in synchronization. Further, the two line sources and the two detector windows all move in synchronization in the direction of the long axis of the object being scanned. In this configuration, the system can effectively reduce the amount of cross-talk detected by a detector. <IMAGE> | en | Multi-head nuclear medicine camera for dual SPECT and PET imaging with nonuniform attenuation correction | 823176_US | 823181_US,3589404_US,3473285_US,823299_US,823180_US | A61B 6/037,G01T 1/1615,G01T 1/1642,G01T 1/2985 | [
"G01T 1/29",
"G01T 1/161",
"G01T 1/164"
] | 19,198 |
538,613,394 | 2019-12-31 | 66,934,052 | N | An array surface electromyography-based pronunciation function evaluation system, the system comprising a lower computer and an upper computer, wherein the lower computer is used to obtain facial and neck myoelectric signals during a pronunciation process by means of array myoelectric electrodes, and transmit the facial and neck myoelectric signals to the upper computer; the upper computer is used to analyze the physiological correlation between change features in the facial and neck array myoelectric signals during the pronunciation process and a pronunciation function, establish a three-dimensional dynamic energy distribution map of facial and neck muscle movements during the pronunciation process, obtain dynamic visualized spatiotemporal information of pronunciation muscle groups, extract myoelectric feature values, establish a standardized database of the facial and neck myoelectric feature distribution of a normal pronunciation function, and employ template matching and a differential analysis algorithm to analyze the abnormal function conditions of the pronunciation muscle groups and the degree of damage. The present pronunciation function evaluation system is capable of more completely and objectively analyzing the electrophysiological characteristics of the pronunciation muscle groups during a pronunciation process, and achieving the real-time, objective and accurate evaluation of the pronunciation function. | en | ARRAY SURFACE ELECTROMYOGRAPHY- BASED PRONUNCIATION FUNCTION EVALUATION SYSTEM | 66824291_CN | 78662160_CN,63628677_CN,63766975_CN,69040194_CN,79166073_CN,79046129_CN,66809631_CN | A61B 5/0004,A61B 5/296,A61B 5/394,A61B 5/397,A61B 5/4803,A61B 5/6814,A61B 5/6822,A61B 5/7242,A61B 5/7246,A61B 5/725,A61B 5/7257,A61B2562/046,G16H 50/20,G16H 50/50 | [
"A61B 5/296",
"A61B 5/00"
] | 145,333 |
533,194,364 | 2019-12-10 | 66,556,993 | N | The present application is applicable to the technical field of wearable devices, and provides a wearable augmented-reality remote video system and a video call method. The system comprises an augmented-reality smart glasses system, a facial expression recognition system and a facial expression construction system, wherein the augmented-reality smart glasses system is used for capturing the current environment information of a user, and constructing, according to the current environment information, a three-dimensional geographic image of the current environment information of the user; the facial expression recognition system is used for recognizing the current facial expression and current emotion of the user; and the facial expression construction system is used for capturing and constructing a three-dimensional virtual facial expression of the user. A holographic video call is realized by means of recognizing the current facial expression and current emotion of the user, and updating the three-dimensional virtual facial expression according to the current facial expression and current emotion of the user, and by means of constructing the three-dimensional geographic image of an environment where the user is located as the background of a video call, and projecting an image of the updated three-dimensional virtual facial expression and the three-dimensional geographic image into a display of an opposite call end. | en | WEARABLE AUGMENTED-REALITY REMOTE VIDEO SYSTEM AND VIDEO CALL METHOD | 66824291_CN | 67328634_CN | A61B 5/00,A61B 5/08,A61B 5/11,A61B 5/16,A61B 5/24,A61B 5/318,A61B 5/389,H04N 7/14,H04N 21/4788 | [
"H04N 7/14"
] | 141,749 |
50,283,920 | 1999-08-10 | 26,815,908 | Y | hYAK3-2 polypeptides and polynucleotides and methods for producing such polypeptides by recombinant techniques are disclosed. Also disclosed are methods for utilizing hYAK3-2 polypeptides and polynucleotides in the design of protocols for the treatment of bone loss including osteoporosis; inflammatory diseases such as Adult Respiratory Disease Syndrome (ARDS), Rheumatoid arthritis, Osteoarthritis, Inflammatory Bowel Disease (IBD), psoriasis, dermatitis, asthma, allergies; infections such as bacterial, fungal, protozoan and viral infections, particularly infections caused by HIV-1 or HIV-2; HIV-associated cachexia and other immunodeficiency disorders; septic shock; pain; injury; cancers including testicular cancer; anorexia; bulimia; neutropenia; cytopenia; anemias, including anemias due to renal insufficiency or to chronic disease, such as autoimmunity or cancer, and drug-induced anemias; polycythemia; myelosuppression; Parkinson's disease; cardiovascular disease including restenosis, atherosclerosis, acute heart failure, myocardial infarction; hypotension; hypertension; urinary retention; angina pectoris; ulcers; benign prostatic hypertrophy; and psychotic and neurological disorders, including anxiety, schizophrenia, manic depression, delirium, dementia, severe mental retardation and dyskinesias, such as Huntington's disease or Gilles dela Tourett's syndrome, among others, and diagnostic assays for such conditions. | en | Human protein kinases hYAK3-2 | 5253187_US | 7807117_US,7807115_US,7807116_US | A61K 38/00,A61K 48/00,C12N 9/1205 | [
"C12N 9/12",
"A61K 48/00",
"A61K 38/00"
] | 39,819 |
4,666,762 | 1998-10-09 | 25,488,363 | Y | A system and method in a radio telecommunications network for correlating speech quality over an air interface link with a plurality of radio quality parameters. The system includes a mobile switching center (MSC) (13) for recording uplink radio quality information from the air interface link, a mobile test tool (12) for recording downlink radio quality information from the air interface link, a parser (16) for parsing the radio quality information into the plurality of radio quality parameters, and a memory (17) for storin g the parsed radio quality information. A digital audio tape (DAT) recorder (19) or personal computer (PC) is electronically connected to a mobile station for recording a speech conversation from the air interface link simultaneously with the recording of the radio quality information. A DAT- link interface (21) is utilized to interface the DAT recorder with a playbac k unit(26)and with a synchronizer/controller (22) which synchronizes the stored radio quality information and the stored speech conversation. The radio quality parameters are presented t o the operator in graphical form on a visual display (51) while the speech conversation is simultaneously presented to the operator in audio form (25). The operator enters a subjecti ve evaluation of the speech quality of the speech conversation, and the evaluation is correlated with the radio quality parameters and displayed on the visual display. | en | SPEECH/RADIO QUALITY EVALUATOR | 5309925_SE | 16631660_SE,13132540_CA | H04L 1/20,H04M 3/2236,H04M2207/18,H04W 24/00 | [
"H04W 24/00",
"H04M 3/22",
"H04L 1/20"
] | 6,195 |
501,992,473 | 2017-11-21 | 63,863,387 | N | Provided are an electronic apparatus, a control method thereof, and a non-transitory computer readable recording medium. The present disclosure relates to artificial intelligence (AI) systems and applications thereof that utilize machine learning algorithms such as deep learning. According to an embodiment of the present disclosure, the electronic apparatus comprises: an input unit receiving a natural language input by a user; a communication unit performing communication with a plurality of external chatting servers; and a processor analyzing a characteristic of the natural language and a characteristic of the user to identify a chatting server corresponding to the natural language among the plurality of chatting servers, and controlling the communication unit to transmit the natural language to the identified chatting server in order to receive a response with respect to the natural language. In this case, the plurality of chatting servers may provide a response by analyzing the natural language input by the user by using rule-based or AI algorithms. In addition, the electronic apparatus can determine the chatting server corresponding to the natural language input by the user among the plurality of chatting servers by using the rule-based or AI algorithms. Machine learning, neural networks, or deep learning algorithms may be used when analyzing speech or determining the chatting server by using the AI algorithm. | en | ELECTRONIC APPARATUS CONTROLLING METHOD OF THEREOF AND NON-TRANSITORY COMPUTER READABLE RECORDING MEDIUM | 64225968_KR | 65062119_,58905168_,60728419_ | G06F 40/30,G06F 40/40,G06N 3/006,G06N 3/0454,G06N 3/084,G06N 20/00,G06Q 50/30,G10L 15/04,G10L 15/26,H04L 51/02,H04L 51/04 | [
"G10L 15/26",
"G10L 15/04",
"G06N 99/00",
"G06Q 50/30"
] | 122,018 |
536,560,195 | 2020-07-17 | 68,971,209 | Y | The present invention relates to the field of near-bit logging while drilling (LWD) technologies, and discloses a near-bit constant-current wireless short-distance transmission method and device. The device includes a transmitting portion and a receiving portion, where the 5 transmitting portion modulates a signal and then wirelessly transmits it to the receiving portion within a short distance; the transmitting portion emits a transmitted signal into a stratum according to a set rated transmitting constant current value, and dynamically monitors and adjusts the rated transmitting constant current value of the transmitted signal, to obtain a stable transmitting power. The near-bit constant-current wireless short-distance transmission method 10 and device of the present invention can solve the problem in transmission power consumption during drilling of strata with different resistivity. The device is simple in structure and easy to implement, thus effectively avoiding circuit damage due to an excessively high transmission power consumption. AShort-distance txansmision system is powered on and reet Reporit an Is initialization eor onmal? Perform tinary frequency shift keyg modulation on a tansmitted data skeam, Start transmission at a first transmitting constant current Measure a voltage value andacurrent value during transmission A transmitting processor portion es a judgm Maintain or adjust a transmitting current | en | Near-bit constant-current wireless short-distance transmission method and device | 18131288_CN | 70405113_,75571381_,75878147_,60533645_,14994914_ | E21B 47/013,E21B 47/13,E21B 47/18 | [
"H04W 80/00"
] | 143,722 |
52,398,809 | 2000-08-11 | 26,845,871 | Y | A toy doll capable of playing preprogrammed speech. The doll body is in the form of a human infant and includes a head having human facial and head features, arms, legs and a torso. The doll body having a color characteristic, namely being of a uniform color selected from colors which are visually distinguishable from actual human skin colors. The doll further including: data storage means disposed within the doll body for storing a plurality of prerecorded audible speech phrases; audio output means including speaker means disposed within said doll body for playing said prerecorded audible speech phrases; processor control means disposed within said doll body, said processor control means electrically connected to each of said storage means and said audio output means, said processor control means including random data selection means for randomly selecting one of said plurality of prerecorded audible speech phrases; power supply means electrically connected to said processor control means; manual switch means having a portion thereof including a reflecting surface projecting from said doll body. The manual switch functioning to selectively activate said processor control means thereby causing the random selection and playing of at least one of said plurality of prerecorded audible speech phrases. A brightly colored egg-shaped enclosure with a removable portion provides a housing for removably containing the doll. | en | Toy dolls with programmable speech and enclosures therefor | 9274512_US | 9274513_US | A63H 3/28,A63H 3/50,A63H 13/16,A63H2200/00 | [
"A63H 13/16",
"A63H 3/28",
"A63H 3/50"
] | 43,970 |
39,391,973 | 2006-10-19 | 37,814,392 | Y | <P>PROBLEM TO BE SOLVED: To provide an apparatus for controlling a vehicle using teeth-clenching which classifies right, left, or both teeth clenching motion and duration time of clenching to control a wheelchair through analysis of electromyogram signals generated from teeth clenching motion when a quadriplegic disabled person can hardly move the lower part of the head and can hardly use hands and arms. <P>SOLUTION: The method comprises: a step in which during teeth clenching motion to clench teeth in the oral cavity, an electromyogram signal of activated muscle is sensed by electromyogram sensors disposed at both sides in the teeth clenching motion for clenching teeth in the oral cavity; a step in which a control command generating unit generates a command for vehicle control corresponding to the clenching motion including, for the sensed electromyogram signal, a clenching position, clenching duration time, and a continuous clenching motion using previous motion of the vehicle as reference calculation value; a step in which a control command interface unit converts the generated signal to an input voltage; and a step in which a vehicle driving unit controls the starting of a starting device. Thus, previous recognition patterns and previous motion command for a wheelchair are utilized from the limited number of clenching patterns and a wheelchair can be controlled more naturally. <P>COPYRIGHT: (C)2007,JPO&INPIT | en | APPARATUS AND METHOD FOR CONTROLLING VEHICLE BY TEETH-CLENCHING | 31726358_ | 32529867_,32497772_,32529866_ | A61B 5/389,A61B 5/6814,A61F 4/00,A61G 5/04,A61G 5/10 | [
"A61B 5/296",
"A61G 5/04",
"A61F 4/00"
] | 25,736 |
451,966,100 | 2015-10-28 | 55,809,337 | N | In alternative embodiments, provided is an internally powered prosthetic limb and method for controlling same, offering hands-free control of a prosthetic limb. The internally powered prosthetic limb controlled by an input control device, comprising: a breath inlet configured to receive air pressure exerted from a user's mouth to be converted into a first electronic signal, wherein the first electronic signal is proportional to the exerted pressure; a motion sensor configured to sense tilting of the user's head and operable to convert the user's head tilting motion into a second electronic signal, wherein the second electronic signal is proportional to the user's head tilting motion; and a processor in communication with the breath inlet and the motion sensor, the processor operable to convert the exerted air pressure into the first electronic signal and further process the first electronic signal into first positional data for transmission to a plurality of digit-actuators in the prosthetic limb, the processor further operable to process the second electronic signal into second positional data for transmission to a wrist-actuator in the prosthetic limb; wherein the plurality of digit-actuators in the prosthetic limb can be controllably actuated in proportion to the air pressure exerted by the user, and the wrist-actuator can be controllably actuated to rotate in proportion to the head tilting motion of the user. | en | BREATH AND HEAD TILT CONTROLLED PROSTHETIC LIMB | 52480707_CA | 52480707_CA | A61F 2/583,A61F 2/70,A61F 2/76,A61F 4/00,A61F2002/5061,A61F2002/6836,A61F2002/701,A61F2002/704,A61F2002/7615,A61F2002/7625,A61F2002/764,A61F2002/7655 | [
"A61F 2/58"
] | 100,782 |
479,700,618 | 2017-01-05 | 58,949,555 | N | A one-stop optimal multi-dimensional traffic network adopts a non-motor platform reversing interchange, and has the following two modes: firstly, a reversing interchange overpasses a ground non-motor platform; secondly, a reversing interchange passes underneath an underground non-motor platform. The results are that motor lanes are communicated, non-motor lanes are in independent signal level-crossing, and the two modes supplement each other to multiply the urban road capacity and the travel speed. Besides multiplication of the road capacity and the traffic speed, the following two advantages can be seen easily: buses have the characteristics of high capacity, high speed, punctuality, on-demand supply, transfer convenience, good reachability and the like; an intelligent transportation system is the highest mode of motor traffic, and the multi-dimensional traffic network provides hardware support for the intelligent transportation system and is deemed to be the standard intelligent transportation in the modern textbooks to fill up the 'blank' in textbooks. The one-stop optimal multi-dimensional traffic network is a 'disruptive updating project' for building urban one-Yuan electric or intelligent vehicles, radically changes the imbalance between supply and demand of urban traffic, makes traffic 'jam' become history, and ensures that urban sustainable development becomes a 'model' of global sustainable development. | en | One-stop optimal multi-dimensional traffic network | 59950558_ | 59950558_ | E01C 1/002,E01C 1/04 | [
"E01C 1/00",
"E01C 1/04"
] | 109,424 |
50,557,253 | 2003-03-25 | 30,773,620 | Y | A non-invasive method for analyzing the blood-brain barrier includes obtaining a Raman spectrum of a selected portion of the eye and monitoring the Raman spectrum to ascertain a change to the dynamics of the blood brain barrier. Also, non-invasive methods for determining the brain or blood level of an analyte of interest, such as glucose, drugs, alcohol, poisons, and the like, comprises: generating an excitation laser beam at a selected wavelength (e.g., at a wavelength of about 400 to 900 nanometers); focusing the excitation laser beam into the anterior chamber of an eye of the subject so that aqueous humor, vitreous humor, or one or more conjunctiva vessels in the eye is illuminated; detecting (preferably confocally detecting) a Raman spectrum from the illuminated portion of the eye; and then determining the blood level or brain level (intracranial or cerebral spinal fluid level) of an analyte of interest for the subject from the Raman spectrum. In certain embodiments, the detecting step may be followed by the step of subtracting a confounding fluorescence spectrum from the Raman spectrum to produce a difference spectrum; and determining the blood level and/or brain level of the analyte of interest for the subject from that difference spectrum, preferably using linear or nonlinear multivariate analysis such as partial least squares analysis. Apparatus for carrying out the foregoing methods are also disclosed. | en | Assessing blood brain barrier dynamics or identifying or measuring selected substances, including ethanol or toxins, in a subject by analyzing Raman spectrum signals | 5211760_US,5352484_US | 6085605_US,7930580_US | A61B 5/14532,A61B 5/14546,A61B 5/1455,A61B 5/4064,A61B 5/411,G01N 21/65 | [
"A61B 5/00",
"G01N 21/65"
] | 40,211 |
470,959,561 | 2016-05-26 | 57,175,505 | Y | The invention relates to auxiliary medical diagnoses, and aims to provide a method for automatically identifying whether a thyroid nodule is benign or malignant based on a deep convolutional neural network. The method for automatically identifying whether the thyroid nodule is benign or malignant based on the deep convolutional neural network comprises the following steps: reading B ultrasonic data of thyroid nodules; performing preprocessing for thyroid nodule images; selecting images, and obtaining nodule portions and non-nodule portions through segmentations; averagely dividing the extracted ROIs (regions of interest) into p groups, extracting characteristics of the ROIs by utilizing a CNN (convolutional neural network), and performing uniformization; taking p-1 groups of data as a training set, taking the remaining one group to make a test, and obtaining an identification model through training to make the test; and repeating cross validation for p times, and then obtaining an optimum parameter of the identification model. The method can obtain the thyroid nodules through the automatic segmentations by means of the deep convolutional neural network, and makes up for the deficiency that a weak boundary problem cannot be solved based on a movable contour and the like; and the method can automatically lean and extract valuable feature combinations, and prevent the complexity of an artificial feature selection. | en | Method for automatically identifying whether thyroid nodule is benign or malignant based on deep convolutional neural network | 65470411_ | 59635248_,60679763_,59079203_ | G06T 7/0012,G06T2207/20081,G06T2207/20084,G06T2207/30096,G16H 50/20 | [
"G16H 50/20",
"G06F 19/00",
"G06T 7/00"
] | 104,531 |
336,813,014 | 2011-03-01 | 44,542,185 | N | Disclosed are: a method for the diagnosis of amyotrophic lateral sclerosis (alleviated as 'ALS', hereinafter) in a subject, including the determination of the degree of progression of symptoms and the monitoring of the progression in the patient; and a method for evaluating the effectiveness of a medicinal agent or the like in the treatment of ALS or the like. Specifically disclosed is a method for the diagnosis of ALS in a subject, including the determination of the degree of progression of symptoms and the monitoring of the progression in the patient, which comprises: (a) a step of collecting a sample from the subject; and (b) a step of analyzing prostaglandin D2 and a metabolite thereof in the sample by mass spectrometry or the like and a step of analyzing creatinine in the sample by mass spectrometry or the like. In some embodiments of the process, these substances contained in a sample such as urine and blood collected from an ALS patient or a subject who is suspected to be suffering from ALS are analyzed, whereby the diagnosis including the determination of the degree of progression of symptoms in the patient can be achieved and the progression of the disease can be monitored. Further, the effectiveness of a medicinal agent or the like or a therapy or the like can be evaluated. The urine component may be a substance capable of being measured, such as proteins, metabolites and hormones contained in urine. | en | METHOD FOR DIAGNOSIS OF AMYOTROPHIC LATERAL SCLEROSIS (ALS) BY ANALYSIS OF PROSTAGLANDIN D2 AND METABOLITE THEREOF AND CREATININE, METHOD FOR EVALUATION OF EFFECTIVENESS OF MEDICINAL AGENT IN THERAPY, AND SYSTEM FOR ESTIMATION OF TPGDM LEVEL IN URINE | 42794817_JP,19442311_JP,38492528_JP,20381118_JP | 19442311_JP,42794817_JP,38492528_JP,20381118_JP | G01N 33/70,G01N 33/88,G01N2800/28 | [
"G01N 27/62",
"G01N 33/70",
"G01N 33/88"
] | 69,430 |
404,837,541 | 2012-06-21 | 47,361,561 | Y | PURPOSE: A method of decoding a structured light which is hierarchically orthogonal through a boundary inheritance and a three-dimensional distance image measurement system using the same are provided to reduce three-dimensional distance image generating error by coinciding a boundary point with the boundary point of a higher layer in case a difference between a boundary area and a boundary point exists within a certain range. CONSTITUTION: A three-dimensional image distance measurement system grasps the boundary point(d) of a acknowledged current layer and a time sequential boundary point(D) by an image reception device(st150). The system computes(d-D) value(st155). If the computed value has a value below Δd, the system coincides the boundary point grasped in the image reception device according to a boundary point grasped by time sequence. [Reference numerals] (AA) Start; (BB) End; (st140) Grasping a shadow area in a captured image; (st150) Grasping the boundary(d) and the time sequential boundary(D) of the current layer; (st155) Computing d-D; (st160) Displaying a camera boundary area and a projector boundary area on coordinates; (st170) Matching boundaries; (st180) Grasping the inheritance address of an upper layer; (st190) Adding the address of the current layer to the inheritance address; (st200) Updating the boundary of an image receiving device and the boundary of a projection device to the coordinates | en | 3 MEASURING METHOD OF 3D IMAGE DEPTH AND A SYSTEM FOR MEASURING 3D IMAGE DEPTH USING BOUNDARY INHERITANCE BASED HIERARCHICAL ORTHOGONAL CODING | 43458591_KR | 43345638_VN,24551744_KR | G01B 11/02,G01B 11/2513,G01C 3/00,G06T 7/521,G06T2207/10152 | [
"G01C 3/00",
"H04N 7/26",
"H04N 13/00",
"G06T 15/00",
"G01B 11/02"
] | 78,779 |
495,739,462 | 2017-07-11 | 62,487,944 | Y | Continuing a sequence of lensless light-field imaging camera patents beginning 1999, the present invention adds light-use efficiency, predictive-model design, distance-parameterized interpolation, computational efficiency, arbitrary shaped surface-of-focus, angular diversity/redundancy, distributed image sensing, plasmon surface propagation, and other fundamentally enabling features. Embodiments can be fabricated entirely by printing, transparent/semi-transparent, layered, of arbitrary size/curvature, flexible/bendable, emit light, focus and self-illuminate at zero-separation distance between (planar or curved) sensing and observed surfaces, robust against damage/occulation, implement color sensing without use of filters or diffraction, overlay on provided surfaces, provided color and enhanced multi-wavelength color sensing, wavelength-selective imaging of near-infrared/near-ultraviolet, and comprise many other fundamentally enabling features. Embodiments can be thinner, larger/smaller, more light-use efficient, and higher-performance than recently-popularized coded aperture imaging cameras. Vast ranges of diverse previously-impossible applications are enabled: credit-card cameras/phones, in-body monitoring of healing/disease, advanced biomarker analysis systems, perfect eye-contact video conferencing, seeing fabrics/skin/housings, and manufacturing-monitoring, wear-monitoring, and machine vision capabilities. | en | Advanced lensless light-field imaging systems and methods for enabling a wide range of entirely new applications | 12334362_US,55932071_US | 12334362_US | G06T 7/557,G06T2207/10024,G06T2207/10052,H01L 27/28,H01L 27/288,H01L 27/30,H01L 27/307,H04N 5/225,H04N 5/22541,H04N 5/3745,H04N 5/378,H04N 9/045 | [
"H04N 9/04",
"H04N 5/225",
"H01L 27/28",
"H04N 5/3745",
"H01L 27/30",
"G06T 7/557",
"H04N 5/378"
] | 118,351 |
566,870,111 | 2021-11-16 | 80,209,085 | N | The invention discloses an RSVP target recognition system fusing multi-mode fatigue monitoring and regulation and a method thereof. The system comprises a signal acquisition cap, an electroencephalogram signal amplifier, a near-infrared brain function imager, an eye tracker, an earphone, a computer, a training system interface, a P300 decoding unit, an NIRS analysis unit, an eye movement data analysis unit and a response time analysis unit. The training personnel wears the signal acquisition cap and opens the training system interface; the display interface randomly displays a target picture and a non-target picture, the training personnel watches the display interface, the signal acquisition cap acquires an electroencephalogram signal of the training personnel, the electroencephalogram signal is amplified and decoded, the target recognition rate is calculated, and then the recognition ability is evaluated; and the brain fatigue degree of the training personnel can be jointly evaluated, and the frequency of picture presentation in the display interface can be adjusted. According to the method, multi-stage progressive training can be realized, the brain fatigue degree of the training personnel can be evaluated in combination with multi-modal data, the image presentation frequency can be adaptively adjusted, the target recognition rate can be analyzed, and the ability of the training personnel can be evaluated. | en | RSVP target identification system fusing multi-modal fatigue monitoring and regulation and method thereof | 62887250_ | 66298309_,65995431_,64918116_ | A61B 3/112,A61B 3/113,A61B 5/0042,A61B 5/0075,A61B 5/14553,A61B 5/162,A61B 5/168,A61B 5/369,A61B 5/374,A61B 5/378,A61B 5/7235,A61B 5/7257,A61B2576/026 | [
"A61B 5/00",
"A61B 5/1455",
"A61B 5/374",
"A61B 5/16",
"A61B 3/113",
"A61B 3/11",
"A61B 5/369",
"A61B 5/378"
] | 163,138 |
47,841,691 | 1998-07-23 | 26,732,180 | Y | The present invention is a methodology for analyzing and evaluating a sample text, such as essay(s), or document(s). This methodology compares sample text to a reference essay(s), document(s), or text segment(s) within a reference essay or document. The methodology analyzes the amount of subject-matter information in the sample text, analyzes the relevance of subject matter information in the sample and evaluates the semantic coherence of the sample. This methodology presumes there is an underlying, latent semantic structure in the usage of words. The method parses and stores text objects and text segments from the sample text and reference text into a two-dimensional data matrix. A weight is computed for each text object and applied to each data matrix cell value. The method performs a singular value decomposition on the data matrix, which produces three trained matrices. The method computes a vector representation of the sample text and reference text using the three trained matrices. The methodology compares the sample text to the reference text by computing the cosine between the vector representation of the sample text and the vector representation of the standard reference text. Alternatively, the dot product is used to compare the sample text to the standard reference text. A grade is assigned to the sample text based on the degree of similarity between the sample text and the standard reference text. | en | Methods for analysis and evaluation of the semantic content of a writing based on vector length | 5292115_US | 6283523_US,6283521_US,6283522_US,6283524_US,6283520_US | G06F 40/30 | [
"G06F 17/27"
] | 36,410 |
53,013,789 | 1996-10-15 | 12,949,305 | Y | PCT No. PCT/JP96/00328 Sec. 371 Date Jan. 9, 1997 Sec. 102(e) Date Jan. 9, 1997 PCT Filed Feb. 15, 1996 PCT Pub. No. WO96/25211 PCT Pub. Date Aug. 22, 1996There is disclosed a three-dimensional game apparatus which enables a player to sense the passage of time and can give variety to game and demo scenes. The apparatus includes a virtual time computation section (120) for determining a virtual time by computing the passage of time in a virtual three-dimensional space from the actual passage of time in the real space; a virtual three-dimensional space computation section (100) for computing the positional information of an object and the positional information of a moving light source such as sun in the virtual three-dimensional space with the passage of the virtual time; and a three-dimensional computation section (210) for performing three-dimensional computations including a shading computation on the object disposed within the virtual three-dimensional space, based on the positional information of the light source. A depth-cueing computation can be used to present the night darkness and a translucent computation can be used to present the moon disappearing in the sky or the like. If game stages each having a different game setting are used, the virtual time of one game stage starts at the time at which the prior game stage terminates. The virtual time may be passed while the demo scene is being displayed. | en | Three-dimensional game apparatus and image synthesizing method | 7136994_JP | 9679611_JP | A63F 13/005,A63F 13/10,A63F 13/52,A63F 13/833,A63F2300/63,A63F2300/66,A63F2300/8029,G06T 15/10,G06T 15/80 | [
"G06T 13/20",
"G06F 19/00",
"H04N 13/04",
"H04N 13/275",
"H04N 13/111",
"G06F 17/00",
"A63F 13/79",
"A63F 13/55",
"A63F 13/52",
"G06T 19/00",
"G06T 15/10"
] | 45,137 |
52,247,850 | 2003-07-09 | 32,599,758 | Y | A system and method for literacy and language instruction that can be practiced with graphophonic word-building blocks, learning activities, software, an electronic device, and educational card/dice/bingo, etc. games with multi-sensory learning that revolves around and ideally combines graphophonic, semantic, and syntactic activity in language/literacy development. Other learning activities such as learning word classes, punctuation, and learning content matter may be included. A chart contains 44 images that represent the 44 sounds of English. Each image can be used as a phoneme cue (Phoneme Cue Image) for both phonemic awareness, phonological activity, and encoding words that may have a proximate display of alternate spellings around the Phoneme Cue Image on the block or card for example. Besides graphophonic encoding, word building activity may also simultaneously focus on building meaning and grammar practice. The activities can be done in a group setting and/or independent practice and learning. The system and methods can be used to teach speaking, listening, reading, and writing skills for both native and foreign languages such as English, Spanish, French, etc. The system and method may be called 'ESCALERA,' which means ladder in Spanish, implying a stage-like order and development of the units, processes, and goals of a language which is to comprehend and express meaning in oral and/or text language. | en | Encoding system combining language elements for rapid advancement | 6637569_US | 6637570_US | G09B 19/04 | [
"G09B 1/00",
"G09B 19/04"
] | 43,685 |
410,715,864 | 2013-03-13 | 49,222,558 | Y | An autism diagnosis support method and system, and autism diagnosis support device capable of providing support to early detection and early definite diagnosis especially to autism of infants, on the basis of objective evaluation, are provided by using a conventionally proposed 'eye-gaze detection technique'. For example, a method for supporting autism diagnosis for a subject, uses an eye-gaze detecting unit (A) at least including a camera portion capturing an image of an eye of the subject, or an electrode portion to be mounted on a head of the subj ect and detecting a movement of the eye, or a display portion to be disposed at a position in an eye gaze direction of the subject. The method includes: displaying, on a screen of the display portion, a combination image for sequentially displaying at least two images including a predetermined human image (I) and a predetermined non-human image (II); and evaluating an eye-gaze position of the subj ect by detecting eye-gaze position information on the subject looking at the combination image in use of the eye-gaze detecting unit, then inputting the eye-gaze position information on the subject in an eye-gaze position information storing portion, and comparing, based on an eye-gaze position evaluation algorithm, the eye-gaze position information on the subject with eye-gaze position information on an individual with autism and/or a typically developing individual. | en | ASPERGER'S DIAGNOSIS ASSISTANCE DEVICE | 49273827_JP | 49643518_JP,49264267_JP,49319603_JP,49370997_JP,49259034_JP,49606132_JP | A61B 3/113,A61B 5/1128,A61B 5/163,A61B 5/167,A61B 5/168,A61B 5/4088,A61B2503/06,G06F 3/013,G06V 40/19,G09B 5/02,G16H 40/63,G16H 50/20 | [
"A61B 10/00",
"A61B 5/11",
"A61B 5/00",
"A61B 3/113",
"A61B 3/10"
] | 82,343 |
42,196,388 | 1999-03-17 | 21,924,862 | N | A b-carboline derivative has the formula (Ia') or (Ia') wherein: X is -NH- or -CH=CH-; R2 is hydroxyl or alkoxy; R3 is H or alkyl; R8 is optionally substituted alkyl or aryl; R11 is O or S and R14 and R15 are independently hydrogen, alkyl, cycloalkyl, haloalkyl, perhaloalkyl, aryl, aralkyl, alkoxy, cycloalkoxy, mono or polyhaloalkoxy, aryloxy, aralkyloxy, hydroxyalkyl, alkyloxyalkyl, alkylthio, cycloalkylthio, mono or polyhaloalkylthio, arylthio, aralkylthio, formate, alkylcarbonyloxy, cycloalkoxycarbonyl, haloalkoxycarbonyl, aryloxycarbonyl, aralkyloxycarbonyl, dialkylaminoalkyl, dialkylamino, diarylamino, diaralkylamino, optionally substituted carboxamide, fornamide, alkylcarbonylamino, cycloalkylcarbonylamino, haloalkylcarbonylamino, perhaloalkylcarbonylamino, arylcarbonylamino, aralkylcarbonylamino, formyl, alkylcarbonyl, cycloalkylcarbonyl, haloalkylcarbonyl, perhaloalkylcarbonyl, arylcarbonyl, aralkylcarbonyl, carboxyl, alkoxycarbonyl, cycloalkoxycarbonyl, haloalkoxycarbonyl, aryloxycarbonyl, aralkyloxycarbonyl, alkylsulphonyl, cycloalkylsulphonyl, haloalkylsulphonyl, perhaloalkylsulphonyl, arylsulphonyl, aralkylsulphonyl, cyano or nitro radical. The compounds are useful for treating diseases associated with disorders of melatonin activity, depression, psychiatric disorders, sleeping disorders associated with traveling ('jet lag'), neurodegenerative diseases of the central nervous system and cancers. | en | Hypnotic beta-carboline derivatives as analogues of endogenous acetylated metabolites of melatonin | 14005749_,13718587_ | 29581861_,29581860_,29581863_,16097463_,13271180_,29581862_ | A61P 15/18,A61P 21/02,A61P 25/00,A61P 25/04,A61P 25/08,A61P 25/18,A61P 25/20,A61P 25/22,A61P 25/24,A61P 35/00,A61P 43/00,C07D 455/00,C07D 471/04,C07D 471/14 | [
"C07D 471/04",
"A61K 31/4375",
"A61P 15/18",
"A61K 31/437",
"C07D 221/04",
"A61P 35/00",
"C07D 455/02",
"A61P 25/24",
"C07D 455/03",
"A61P 25/00",
"A61P 25/22",
"A61P 21/02",
"A61P 25/20",
"A61P 25/08",
"A61P 25/18",
"C07D 471/14",
"A61P 43/00",
"C07D 221/18",
"A61P 25/04",
"A61K 31/435",
"C07D"
] | 27,970 |
548,139,168 | 2019-12-09 | 75,148,633 | N | The present invention relates to a continuous conversation-based developmental disorder treatment and, more specifically, to a continuous conversation-based developmental disorder treatment system including a program, which transfers a specific situation and utterance to a child, instead of a speech therapist, to induce the child′s utterance suitable for the situation so that language development is promoted in the child, and to a method thereof. To this end, according to the present invention, the continuous conversation-based developmental disorder treatment system outputs a response speech of a user to an image and an induced speech output by a client in relation to a specific situation or a specific action. The system comprises: a client including a speech recognition unit recognizing and converting a user′s speech into text, a speech synthesizing unit expressing uttered sentences, and a content management unit displaying and managing a specific situation or specific action and image information; and a conversation server including a conversation management unit operating a conversation scenario in the form of the utterance sentence and transferring the image information through a conversation scenario database for each situation and a situation scene image information database, and an intention analysis unit analyzing whether the intention of the response speech is appropriate to the situation or not. | en | Continuous conversation-based developmental disorder treatment system and method | 73421705_KR | 67999104_KR | G06Q 50/20,G09B 5/06,G09B 19/04 | [
"G09B 5/06",
"G06Q 50/20",
"G09B 19/04"
] | 151,570 |
528,992,238 | 2019-12-02 | 66,632,995 | N | The present invention relates to a method for monitoring intestinal glutamine synthetase levels in a mammal, particularly in a human subject, and is useful for detecting intestinal glutamine synthetase deficiency. The method is based on determining glutamate levels in the subject under controlled fasting and postprandial conditions after administration of a predetermined quantity of a glutamate containing protein composition. The method is useful for quantifying the ability of the mammal to metabolize dietary glutamate as a diagnostic marker for predicting the onset of or propensity for developing a central nervous system (CNS), psychotic, or neurological disorder, associated with glutamate toxicity. The method is also useful for designing regimens for rectifying glutamine synthetase deficiency levels in a mammal subject in order to treat or prevent such a disorder. This method and its corresponding quantification can be derived manually using data from current laboratory equipment, bio test chips, or it can be automated into a medical device or a laboratory apparatus complete with hardware and software for measurements with computational output showing quantification, diagnostic range or deficiency levels. Another advantage of this method is that because it detects glutamate toxicity, it can potentially detect and prevent the onset of neurological disease early on, before physical symptoms are manifested. | en | METHOD FOR TREATING INTESTINAL GLUTAMINE SYNTHETASE ACTIVITY DEFICIENCY | 74841987_US | 70120880_US,12048024_US,70080131_US,70047145_US | A61K 35/741,A61P 25/00,B01L 3/5027,G01N 33/68,G01N 33/9406,G01N2800/28 | [
"G01N 33/94"
] | 138,836 |
527,673,803 | 2019-08-22 | 69,587,090 | N | An electronic gaming machine includes a display, a digital camera device, a credit input mechanism, and a processor programmed to perform operations comprising: (i) receiving, from the digital camera device, a digital image of the player; (ii) determining an emotional state of the player by performing facial expression analysis on the digital image; (iii) determining an emotion level of the player by categorizing the emotional state of the player based on the determined emotional state, the categorizing includes a first state representing a positive emotional level and a second state representing another emotional level; (iv) determining that the emotional level is the other emotional level; and (v) automatically initiating a game session action during the game play session, the game session action is configured to cause the player to transition to the positive emotional level. 11634534_1 (GHMatters) P111606.AU RECEIVING A DIGITAL IMAGE OF A DETERMINING AN EMOTIONAL STATE BY PERFORMING FACIAL EXPRESSION ANALYSIS ON THE DIGITAL IMAGE r630 DETERMINING AN EMOTIONAL LEVEL BY CATEGORIGING THE EMOTIONAL STATE OF THE PLAYER 640 , 644 CATEGORY 1: CATE Y 642 CATEGORY 3: EXCITED DISTRACTED SATISFIED CATEGORY 2: UNHAPPY ENGAGED CONTENT ANGRY LIMITED ATTENTION EXPRESSIONLESS 650 670 I YT NO ACTION 660 LOCAL SYSTL EOM SYSTE M LOCAL OR LCLSSE 662 SYSTE M ,, 664 674,, DRINK OFFER, LIGHT SHOW FCOMPLA ATTNDAT MSI ATTENDANT | en | GAMING MACHINE AND METHOD FOR EVALUATING PLAYER REACTIONS | 6083993_AU | 36955414_ | G07F 17/3206,G07F 17/3239 | [
"G06K 9/46",
"A63F 13/40"
] | 137,954 |
566,556,378 | 2021-03-31 | 73,498,983 | N | Embodiments of the present invention provides a cross-modal person re-identification method. The method comprises: inputting a person image having an identifier into a cross-modal feature extraction model; determining a cross-modal generalization feature, an infrared single-modal generalization feature, and an RGB single-modal generalization feature of the person image having an identifier; and calculating similarities of an image feature, on which cross-modal person re-identification is to be performed, with the cross-modal generalization feature, the infrared single-modal generalization feature, and the RGB single-modal generalization feature to perform person re-identification. The cross-modal feature extraction model comprises a feature extraction module, a modal batch normalization identity embedding module, and a single-modal identity embedding module, so that an extracted image feature has strong generalization; in addition, a cross-modal generalization feature, an infrared single-modal generalization feature, and an RGB single-modal generalization feature of an image can be accurately extracted, and similarities of an image feature, on which cross-modal person re-identification is to be performed, with the cross-modal generalization feature, the infrared single-modal generalization feature, and the RGB single-modal generalization feature are determined to accurately obtain an identification result. | en | CROSS-MODAL PERSON RE-IDENTIFICATION METHOD AND DEVICE | 74124592_CN | 67690100_CN,85523019_CN,82919976_CN,68606639_CN,84595722_CN,63676965_CN,63990425_CN | G06K 9/6256,G06V 40/10 | [
"G06K 9/00"
] | 163,092 |
55,425,928 | 2006-12-06 | 38,228,915 | Y | A near-infrared spectrophotometric system (e.g., a cerebral oximeter) includes a sensor portion and a monitor portion. The monitor portion includes a processor that runs an algorithm which utilizes the amount of detected light to determine the value of the oxygen concentration (e.g., the absolute level of oxygen concentration). The monitor portion also includes a visual display that displays the determined oxygen concentration values in various formats. The monitor portion may also include an audible device (e.g., a speaker), that provides audible indications of the determined oxygen concentration values. Various visual indicators may include, for example, color-coded graphs of the determined oxygenation values to alert the system user, for example, whether one hemisphere of the brain, or one or more regions of the brain, is in danger of adverse and potentially permanent damage. Also, data may be pre-processed by selecting the most clinically concerning sensor value (e.g., the sensor with the lowest value), and displaying only that sensor value and its identification on the display screen. Alternatively, an average value of multiple sensor measurements may be displayed. This reduces screen clutter and increases the speed of interpretation by the system user. Also, all sensor values may be averaged, and the average value displayed. The determined oxygenation values may also be provided in an audible format. | en | Indicators for a spectrophotometric system | 10802961_US,7833193_US,7833191_US,10821364_US | 10821364_US,10802961_US,7833193_US | A61B 5/0073,A61B 5/14553,A61B 5/4076,A61B 5/6814,A61B 5/742 | [
"A61B 5/1455"
] | 53,196 |
17,400,777 | 1999-04-08 | 22,234,447 | N | Unusual waveforms are defined in terms of how many 'new' pixels are affected by the process of rasterizing them. New pixels can be those not yet affected by the rasterization of any waveform in the current set of acquisitions, or to be those that have had higher values in their raster memory location but have now been decayed to below a defined value. Once detected, such waveforms can be re-rasterized with extra intensity or into a different color by using a reserved range of values of those storable in the raster memory. Alternatively, the special region of values can be used as a counter/timer to maintain the pixels associated with unusual waveforms at a brightest intensity value, or in the color equivalent, for an extended period of time. User input can be used to affect the definition of 'new' pixels and to control the special persistence given to unusual waveforms. Unusual waveforms can also be saved in long term memory. Multiple decay functions and regions of values in the raster memory locations can be used as described above, or to produce a fast rate of decay in a bright visible region and a user adjustable slower rate of decay in a dimmer region, thus making recently acquired waveforms look bright and 'lively', while older waveforms appear to be relatively gray and stable. The same techniques can be employed when color is used either along with or as a substitute for intensity variations. <IMAGE> | en | Multi-function digital persistence decay | 3354040_US | 840045_US,535763_US,3973720_US | G01R 13/20,G01R 13/345 | [
"G01R 13/20",
"G01R 13/34",
"G09G 1/00"
] | 20,541 |
321,964 | 1988-06-20 | 22,058,365 | N | snRNP proteins are isolated, as by immunoaffinity chromatography, using antibodies from a serum sample of a living being affected by systemic lupus erythematosus. The Sm-D polypeptide is in turn isolated from the snRNP protein complex as by gel electrophoresis and electroelution. The amino terminus of the Sm-D polypeptide is then sequenced, and labelled DNA probes with nucleotide sequences complementary to that encoding the amino acid sequence are synthesized. A human cDNA library in a lambda cloning vector is transferred to appropriate filters such as nitrocellulose filters. These filters are screened as by hybridization with the labelled probes to identify the cDNA clones in the library with sequences matching those of the labelled probes. The cDNA encoding the Sm-D protein is then subcloned. The Sm-D polypeptide is then isolated as by immunoaffinity chromatography and, if further desired, as by HPLC chromatography. An assay is then made with the isolated Sm-D polypeptide by reacting the Sm-D polypeptide with a serum sample of a living being to determine whether the living being is affected by systemic lupus erythematosus. The assay may be performed as by an enzyme-linked immunoabsorbant such as anti-human IgG/IgM antibodies covalently attached to an enzyme indicator. Lactoperoxidase/alkaline phosphatase are each an example of an enzyme indicator to indicate, as by distinctive color, an affected person. | en | THE SM-D ANTIGEN, THE CLONING OF THE SM-D ANTIGEN AND THE DETECTION OF SYSTEMIC LUPUS ERYTHEMATOSUS BY USING THE SM-D ANTIGEN | 557088_US | 557089_US,557091_US,557090_US | C07K 14/4713,G01N 33/564,G01N2800/104 | [
"C12Q 1/42",
"C07K 14/47",
"G01N 33/564",
"C12Q 1/28"
] | 1,775 |
17,065,066 | 1994-04-19 | 22,006,106 | N | In a neural network-based character processor, a neural network identifies characters to be included in textual material using a lexicon to improve recognition performance. Using the vector confidence level quantities associated with characters from the neural network, lexicon entries are searched using a selected number of most likely characters at character positions in the lexicon entries associated with the character positions of the neural network word. As a result of this search for a predetermined number of character positions, a candidate word list is established along with the vector quantities defining the confidence level of the character being correct. At character positions following the predetermined number of character positions, the candidate list and not the lexicon is searched, the candidate list being shortened by a limited coincidence between the most likely characters of the neural network work and the characters of the lexicon words. When the neural network word has been completely processed, then, in the absence of any candidate words, the neural network word is selected. Similarly, when the neural network word is in the candidate list, then the neural network word is selected. Finally, only when the best candidate from the candidate list has a sufficiently high total confidence level, relative to the neural network word, of being correct is the candidate list word selected. <IMAGE> | en | Apparatus and method for a lexical post-processor for a neural network-based character processor. | 5817_US | 3374581_US,3374580_US | G06V 30/10,G06V 30/262 | [
"G06F 15/18",
"G06K 9/72",
"G06N 3/00",
"G06K 9/66"
] | 18,561 |
568,771,512 | 2021-12-07 | 80,651,183 | N | The invention relates to a highly-integrated brain-controlled electrical nerve stimulation exoskeleton robot system which is characterized in that the two sides of a waist mechanism are connected with the upper ends of thigh mechanisms through connecting mechanisms respectively, the lower end of each thigh mechanism is connected with the upper end of a shank mechanism through a knee joint control mechanism, and the lower end of each shank mechanism is connected with a foot mechanism through a limiting mechanism; the input end of a main control module in the control box is connected with a plurality of brain electrodes, and the brain electrodes are arranged on the head of a patient and used for collecting signals; the main control module generates output signals according to the collected signals, and the output signals are output to leg electrodes arranged on the thighs and the shanks on the two sides of the patient corresponding to the thigh mechanism and the shank mechanism. By means of an artificial neural circuit built from the brain to the legs in vitro, multi-mode stimulation strengthening of the exoskeleton on the brain nervous system is achieved, the function of the central and peripheral nervous system with dysfunction is awakened, a patient is promoted to actively participate in rehabilitation training, and optimal rehabilitation of neurological and motor dysfunction of the patient is achieved. | en | Highly integrated brain-controlled electrical nerve stimulation exoskeleton robot system and control method | 63210897_ | 58855017_,71145899_,85660848_,61508226_,64901054_,60622182_ | A61H 3/00,A61H2201/10,A61H2201/1659,A61H2201/5069,A61H2201/5071,A61H2230/105,A61M 21/00,A61M2021/0005,A61N 1/36003,A61N 1/36014,A61N 1/36025,A61N 1/36031 | [
"G16H 20/40"
] | 164,244 |
561,160,230 | 2021-07-16 | 78,539,417 | N | A dangerous border crossing behavior recognition algorithm in electric power field operation comprises the following steps that S1, a yolov3 is built through a python 3.6.5 + Keras engineering environment, backbone uses Darknet53, a loss function uses a cross entropy loss function, and pre-training parameters are loaded by using transfer learning; S2, picture data of a to-be-detected electric power field is obtained through an electric power field monitoring video or field photographing, a helmet part in the picture data is labelled through a labelimg, and then the picture data is made into a training set which can be fed into a network; S3, an open source data set is obtained, the open source data set and the training set are combined into a total data set, and the total data set is expanded in a data enhancement mode; S4, after the total data set is fed into the network, an Adam optimizer is used for optimization, the total data set is used for training, and a final model is obtained; and S5, detecting the safety helmet in real-time electric power field operation through the model. The dangerous border-crossing behavior identification algorithm in the electric power field operation is high in identification rate and excellent in identification efficiency, and can timely discover dangerous border-crossing behaviors of workers and suppress unsafe factors caused by the dangerous border-crossing behaviors. | en | Dangerous border crossing behavior recognition algorithm in electric power field operation | 61607900_ | 58403591_,66491322_,69344862_,58465271_,66142897_,61738408_,59369617_,59981815_,61028487_,60675687_,64870062_,65949650_ | G06K 9/6256,G06Q 50/06 | [
"G06Q 50/06",
"G06K 9/62",
"G06K 9/00"
] | 160,238 |
574,375,087 | 2021-04-29 | 74,803,688 | N | Disclosed in the present invention is a three-dimensional reconstruction and angle of view synthesis method for a moving human body, which performs reconstruction of a moving human body by optimizing three-dimensional representations of the moving human body from an inputted multi-angle of view video. The method provided by the present invention comprises: defining a set of hidden variables on mesh vertices of a deformable human body model; transforming, on the basis of the deformation characteristics of the human body model, the set of structured hidden variables to a position of a target human body posture; mapping, on the basis of a neural network, the set of structured hidden variables to continuous voxel density and color for representing the geometric and appearance of the human body; and optimizing, on the basis of differentiable rendering, a neural network implicit function in an inputted multi-angle of view video; and performing three-dimensional reconstruction and angle of view synthesis of the moving human body on the basis of the optimized neural network implicit function. By means of a neural network implicit function, the present invention implements three-dimensional reconstruction and angle of view synthesis of a moving human body at a very small number of angles of view, which is the first method for achieving high-quality angle of view synthesis at a very small number of angles of view. | en | THREE-DIMENSIONAL RECONSTRUCTION AND ANGLE OF VIEW SYNTHESIS METHOD FOR MOVING HUMAN BODY | 64526632_CN | 63472866_CN,76186703_CN,77580649_CN | G06N 3/0454,G06T 15/005,G06T 17/00,G06T 19/20 | [
"G06T 17/20"
] | 166,898 |
45,717,596 | 2003-10-07 | 32,092,433 | N | Methods for treating neurological or neuropsychiatric diseases or disorders in humans by administering to the human a therapeutically effective dose of specific biologics are presented. The biologics of consideration include antagonists of tumor necrosis factor or of interleukin-1. The administration of these biologics is performed by specific methods, most, but not all of which fall into the category of anatomically localized administration designed for perispinal use. Anatomically localized administration involving perispinal use includes, but is not limited to the subcutaneous, intramuscular, interspinous, epidural, peridural, parenteral or intrathecal routes. Additionally, intranasal administration is discussed as a method to provide therapeutic benefit. The clinical conditions of consideration include, but are not limited to the following: diseases of the brain, including neurodegenerative diseases such as Alzheimer's Disease and Parkinson's Disease; migraine headache; spinal radiculopathy associated with intervertebral disc herniation, post-herpetic neuralgia, reflex sympathethic dystrophy, neuropathic pain, vertebral disc disease, low back pain, amyotrophic lateral sclerosis, chronic fatigue syndrome; and neuropsychiatric diseases, including bipolar affective disorder, anorexia nervosa, nicotine withdrawal, narcotic addiction, alcohol withdrawl, post-partum depression, and schizoaffective illness. | en | CYTOKINE ANTAGONISTS FOR NEUROLOGICAL AND NEUROPSYCHIATRIC DISORDERS | 37152235_US | 37152235_US | A61K 9/0019,A61K 38/1793,A61K 38/20,A61K 39/3955,A61K 47/60,A61K 47/6811,A61K 47/6835,A61K2039/505,A61P 25/00,A61P 25/06,A61P 25/16,A61P 25/18,A61P 25/24,A61P 25/28,A61P 25/30,A61P 25/34,C07K 16/241,C07K2319/30,C07K2319/32,Y10S 514/885,Y10S 514/886 | [
"A61K 38/20",
"C07K 16/24",
"A61K 38/17",
"A61K 9/00",
"A61B"
] | 31,791 |
47,427,321 | 1999-02-09 | 21,801,182 | N | The invention extends the capability of conventional computer speech recognition programs to reliably recognize and understand large word and phrase vocabularies for teaching written language skills. At each step of a teaching program, information is supplied to the user such that some responses in the language being taught are correct (or appropriate) and some are incorrect (or inappropriate), with these respective sets of responses judiciously selected to teach some language aspect (i.e., vocabulary, sentence structure). A subset of allowable correct and incorrect responses is selected such that a speech recognition subprogram readily discerns certain allowable responses from other allowable responses, including each incorrect response being discriminable from each correct response. The meanings of at least the correct allowable responses are made clear by aural or visual information, such as graphic images, printed text, or translations into the user's native language. The invention may be used for the effective teaching of reading skills. This method pertains to children learning to read in their native language, as well as to adults that have learned only the spoken form. The method encourages a user into pronouncing the words and phrases being used, the letter-sound relations will be reinforced much more strongly than if the student's response is just a mouse click indicating correct comprehension. | en | SPEECH RECOGNITION APPARATUS AND METHOD FOR LEARNING | 37833090_US | 37833091_ | G09B 19/04,G10L 15/22 | [
"G10L 15/22",
"G09B 19/04"
] | 35,666 |
57,296,508 | 2008-02-04 | 40,436,586 | N | The present invention provides ligand detection means capable of exhibiting two-dimensional information (wavelength and intensity of luminescent signal) responding to multiple signals triggered by a ligand via a target protein, while taking advantage of the merit of the single-molecule-format bioluminescent probe. The present invention could provide a luminescent probe set which is comprised of a fusion protein comprising a ligand recognition protein and a molecular recognition domain to which the ligand recognition protein bind upon conformational change, wherein the fusion protein is sandwiched between split Lighting Enzyme fragments, the probe set can emit multiple luminescence by utilizing Lighting Enzymes emitting lights with multiple wavelength, wherein these multiple components can be tandemly arranged by using C-terminal fragment of the Lighting Enzyme. By using a living cell line transfected with gene of multicolor luminescent probe set or single-molecule-format multicolor bioluminescent probe, it becomes possible to distinguish and detect bioactivity level of a target ligand in a complex context of the living cell two-dimensionally (wavelength versus intensity) in multi colors, and to quantitatively evaluate multiple effects (anticancer and carcinogenesis actions, agonist and antagonist) of a ligand represented by a drug at once by two-dimensional information of different colors in short time. | en | MULTICOLOR BIOLUMINESCENT VISUALIZATION PROBE SET, OR SINGLE-MOLECULE-FORMAT MULTICOLOR BIOLUMINESCENT VISUALIZATION PROBE | 5272319_JP | 10994473_JP,10994471_JP,10994472_JP | C07K 14/4702,C07K 14/721,C07K2319/00,C07K2319/61,C07K2319/70,C07K2319/72,C12N 9/0069,C12Q 1/485,G01N 33/5008,G01N 33/5011,G01N 33/533,G01N 33/535,G01N 33/542 | [
"C12N 5/00",
"C12N 15/63",
"C12Q 1/48",
"C12Q 1/66",
"C07H 21/00"
] | 55,924 |
4,342,087 | 1990-01-24 | 23,178,777 | N | 28 10129-1 EEG BIOFEEDBACK METHOD AND SYSTEM FOR TRAINING VOLUNTARY CONTROL OF HUMAN EEG ACTIVITY A biofeedback method and system for use to train a person to develop useful degrees of voluntary control of personal electroencephalogram (EEG) activity. A plurality of EEG potentials from a plurality of locations on the head are individually amplified and filtered in accordance with strict criteria intended for processing in accordance within time constraints limited by natural neurological reactivity. Each resultant signal is processed to provide objective data on brain energies as a function of frequency. Data are presented in real time to the trainee in the form of preselected auditory tones and/or vibro-tactile stimuli indicating with high fidelity the details of EEG activity at a multiplicity of cortical sites. Features of auditory feedback promote learning as well as identification and elimination of spurious artifact states. At periodic intervals, the auditory feedback is supplemented by sensory presentation of digital scores summarizing performance in a metric proportional to brain energy output in the feedback parameters. The scores may be presented as illuminated numerical displays, aurally or both. The system is preferably in an environment designed to control the arousal level of the trainee and the degree of distractibility so as to maximize the learning of voluntary self-control. 1012914N.WP5 | en | EEG BIOFEEDBACK METHOD AND SYSTEM FOR TRAINING VOLUNTARY CONTROL OF HUMAN EEG ACTIVITY | 16273011_US | 16273012_US | A61B 5/375 | [
"A61M 21/02",
"A61B 5/375",
"G06F 17/00"
] | 4,118 |
545,014,923 | 2020-05-14 | 74,236,907 | Y | The present invention relates to a method for diagnosing brain tumor through a bacterial metagenome analysis. More specifically, the present invention relates to a method for diagnosing brain tumor by analyzing an increase or a decrease in the content of specific bacteria-derived extracellular vesicles by performing a bacterial metagenome analysis using samples of normal individuals and tested subjects. Extracellular vesicles secreted by bacteria present in the environment are absorbed into a body and may directly affect the occurrence of inflammation. Also, it is difficult to diagnose brain tumor early before symptoms appear, and thus it is difficult to perform effective treatment. Accordingly, according to the present invention, by diagnosing the risk of brain tumor in advance through the metagenome analysis of bacteria-derived extracellular vesicles using human body-derived samples, it is possible to diagnose and predict the risk group of autism early. In addition, proper management can delay or prevent the onset of disease. Moreover, an early stage diagnosis is possible even after the onset of the diseases, and thus the occurrence rate of brain tumor is reduced. Also, a therapeutic effect can be improved. Furthermore, by avoiding exposure to causative factors through a metagenome analysis in a patient diagnosed with brain tumor, the course of diseases can be improved, or recurrence can be prevented. | en | Method for diagnosis of brain tumor using analysis of bacteria metagenome | 68768044_KR,64751533_KR | 72975021_,79851859_,65325097_,81530417_ | C12Q 1/6886,C12Q 1/6895,C12Q2531/113 | [
"C12Q 1/6886",
"C12Q 1/6895"
] | 149,521 |
16,025,479 | 2003-09-30 | 32,041,814 | N | A physics based neural network (PBNN) for detecting trends in a series of data inputs comprising a neural filter comprising a plurality of nodes for receiving the series of data inputs and outputting a plurality of averaged outputs, at least one standard deviation node for receiving one of the plurality of averaged outputs and the series of data inputs to produce at least one standard deviation output, wherein at least one of the average outputs is a delayed average output and at least one of the standard deviation outputs is a delayed standard deviation output, and a neural detector comprising a plurality of neural detector nodes receiving the plurality of averaged outputs and the delayed average output and outputting a neural detector output, a neural level change node receiving the plurality of averaged outputs and outputting a neural level change estimate output, a neural confidence node receiving a counter input, the delayed standard deviation output, and the neural level change estimate output and outputting a neural assessment output, and a heuristic detector comprising a plurality of detector nodes receiving the averaged inputs, the delayed average input, the series of data inputs, and the delayed standard deviation output and outputting a confidence level output, wherein the neural assessment output and the confidence level output are combined to determine an event in the series of data inputs. | en | Physics based neural network trend detector | 167291_US | 1417672_US,1417673_US | G06N 3/04 | [
"G06N 3/02",
"G06N 3/04"
] | 14,780 |
328,893,483 | 2010-05-10 | 43,085,439 | N | The present invention relates to a method and system for assessing an IQ on a real-time basis through a wired/wireless connection between a PC and a mobile terminal on the one hand and a server on the other hand. The method comprises: a step in which the PC and the mobile terminal transmit user information to a server through a wired/wireless connection, and makes a request for IQ test questions; a step in which the server that has received the user information stores user information, and transmits IQ test questions to the PC and to the mobile terminal; a step in which the PC and the mobile terminal receives the IQ test questions; a step in which the PC and the mobile terminal which have received the IQ test questions transmit data with answers to the IQ test questions given by the user to the server; a step in which the server receives the data with the answers to the IQ test questions; a step in which the server that has received the data with the answers to the IQ test questions analyzes the data with answers to the IQ test questions through existing accumulated data of the third users, and puts the analyzed data into digital data form; a step in which the server transmits the digitalized data to the PC and the mobile terminal; a step in which the PC and the mobile terminal receive the digitalized data; and a step in which the PC and the mobile terminal display the received data on an output device. | en | REAL-TIME IQ TEST METHOD AND SYSTEM | 32877994_KR | 32877994_KR | G06Q 50/10,G06Q 50/20 | [
"G06Q 50/00"
] | 64,977 |
575,552,751 | 2021-11-17 | 75,143,912 | N | A human-machine conversation method and apparatus, a computer device, and a readable storage medium, relating to the technical field of human-machine conversation. The method comprises: after obtaining the first language input statement of the current conversation round, translating the first language input statement into a second language input statement according to the first language conversation content and the second language conversation content of a historical conversation round; then a second language-based multi-round conversation generation model parsing, according to the second language conversation content, the second language input statement to generate a second language output statement; according to the first language conversation content, the second language conversation content, the first language input statement, and the second language input statement, translating the second language output statement; and finally determining the first language output statement of the current conversation round and outputting same. Therefore, the present application achieves multiple rounds of human-machine conversations of a low-resource language by invoking a multi-round conversation generation model of a high-resource language, and improves the expression engagement fitting degree of the multiple rounds of human-machine conversations of the low-resource language in the semantic and context aspects. | en | HUMAN-MACHINE CONVERSATION METHOD AND APPARATUS, COMPUTER DEVICE, AND READABLE STORAGE MEDIUM | 80672802_CN | 64011296_CN | G06F 16/3329,G06F 16/3343,G06F 16/3344,G06F 40/58 | [
"G06F 40/58",
"G06F 16/332",
"G06F 16/33"
] | 167,410 |
505,120,147 | 2018-01-08 | 59,785,394 | N | A brain signal-based control method and control device, and a man-machine interaction device. The method comprises: periodically obtaining electroencephalography signals and brain oxygen signals within a target period of time, and respectively generating a brain waveform curve and a brain oxygen waveform curve which represent changes of an electroencephalography signal and of a brain oxygen signal within the target period of time (S101); determining whether the brain waveform curve and the brain oxygen waveform curve meet conditions for controlling a controlled device to perform a target operation (S102); and controlling the controlled device to perform the target operation when the brain waveform curve and the brain oxygen waveform curve meet the conditions (S103). Compared with the mode for controlling the controlled device on the basis of the electroencephalography signal only in the prior art, according to the control method, the electroencephalography signal and the brain oxygen signal are simultaneously detected, the brain waveform curve and the brain oxygen waveform curve are generated, and whether the brain waveform curve and the brain oxygen waveform curve meet the conditions for controlling the controlled device to perform the target operation is determined, so that a false operation caused by situations such as hopping of single piece of data can be avoided, and control accuracy is improved. | en | BRAIN SIGNAL-BASED CONTROL METHOD AND CONTROL DEVICE, AND MAN-MACHINE INTERACTION DEVICE | 63835156_CN | 67187717_CN | A61B 5/0006,A61B 5/14553,A61B 5/291,A61B 5/369,A61B 5/374,A61B 5/375,A61B 5/4064,A61B 5/6803,A61B 5/7235,G06F 3/015,G06F 3/0304 | [
"A61B 5/375",
"A61B 5/374",
"A61B 5/1455"
] | 123,901 |
404,976,187 | 2012-06-25 | 47,883,017 | N | A demodulation delay circuit is provided with an optical interferometer that comprises first arm-waveguides for connecting input-side couplers and output-side couplers, and second arm-waveguides shorter in optical path length than the first arm-waveguides, and that delays each of the bits of an input optical signal by approximately 1 bit so that the bits interfere with bits adjacent thereto. The light propagating direction of the optical interferometer is different, by 180 degrees, at the input-side couplers and at the output-side couplers. Each of the input-side couplers and the output-side couplers comprises first and second waveguides, the optical path length of the first waveguide is longer than that of the second waveguide, each of the first and second waveguides has a first directional coupler and a second directional coupler formed at two places in the longitudinal direction thereof, and the input-side couplers and the output-side couplers are configured as wavelength non-dependent couplers having a binding rate of approximately 50% in the wavelength band where the couplers are to be used. The side of the input-side couplers where the first waveguides are arranged with respect to the longitudinal direction of the input-side couplers and the side of the output-side couplers where the first waveguides are arranged with respect to the longitudinal direction of the output-side couplers are the same. | en | DEMODULATION DELAY CIRCUIT AND OPTICAL RECEIVER | 13407313_JP,5595586_JP,16646120_JP | 13407313_JP,16646120_JP | G02B 6/12004,G02B 6/125,G02B 6/126,G02B 6/2821,G02B 6/2861,G02B 6/29355,G02F 2/00,H04B 10/677 | [
"G02B 6/122"
] | 78,907 |
50,670,467 | 2006-04-24 | 38,328,097 | Y | A system and a method are disclosed for automatic question classification and answering. A multipart artificial neural network (ANN) comprising a main ANN and an auxiliary ANN classifies a received question according to one of a plurality of defined categories. Unlabeled data is received from a source, such as a plurality of human volunteers. The unlabeled data comprises additional questions that might be asked of an autonomous machine such as a humanoid robot, and is used to train the auxiliary ANN in an unsupervised mode. The unsupervised training can comprise multiple auxiliary tasks that generate labeled data from the unlabeled data, thereby learning an underlying structure. Once the auxiliary ANN has trained, the weights are frozen and transferred to the main ANN. The main ANN can then be trained using labeled questions. The original question to be answered is applied to the trained main ANN, which assigns one of the defined categories. The assigned category is used to map the original question to a database that most likely contains the appropriate answer. An object and/or a property within the original question can be identified and used to formulate a query, using, for example, system query language (SQL), to search for the answer within the chosen database. The invention makes efficient use of available information, and improves training time and error rate relative to use of single part ANNs. | en | Meta learning for question classification | 5463579_US,5210928_JP,8003711_US | 5463579_US,8003711_US | G06N 3/0454,G06N 3/08,G06N 20/00 | [
"G06N 3/08",
"G06N 3/02",
"G06F 15/18"
] | 40,459 |
505,911,827 | 2018-06-08 | 64,952,576 | Y | According to one aspect of the present invention, a method of deriving a pilot′s mission performance capability performed by an integrated supervisory and control apparatus of a pilot state for evaluating a mission performance capability necessary for piloting a piloted object based on state information of the pilot comprises: a signal measuring step of measuring surrounding environment information in conjunction with a control apparatus of the piloted object and measuring at least one biological signals including an electroencephalography signal, an eye movement signal, a skin electrical activity signal, and a respiration measurement signal through a sensor device mounted on the pilot; an information calculating step of reflecting the pilot′s environment information in real time into an arousal state evaluation model for evaluation of the pilot′s state, analyzing the at least one biological signals to extract individual feature information, inputting the extracted individual feature information into the arousal state evaluation model and calculating convergence feature information through a correlation analysis with the pilot′s arousal state; and an arousal state evaluation and feedback providing step of evaluating the pilot′s real-time arousal state level using the convergence feature information, and providing an arousal deriving feedback signal in accordance with the evaluated arousal state level. | en | APPRATUS FOR CONTROLLING INTEGRATED SUPERVISORY OF PILOTS STATUS AND METHOD FOR GUIDING TASK PERFORMANCE ABILITY OF PILOTS USING THE SAME | 64807294_KR | 60574000_,59317410_,70607524_ | A61B 5/0533,A61B 5/08,A61B 5/11,A61B 5/168,A61B 5/369,A61B 5/486,A61B 5/7235,A61B 5/7271,A61B 5/7405,A61B 5/742,A61B 5/7455 | [
"A61B 5/0496",
"A61B 5/16",
"A61B 5/024",
"A61B 5/0488",
"A61B 5/00",
"A61B 5/0476",
"A61B 5/0402",
"A61B 5/08"
] | 124,259 |
467,790,254 | 2016-06-17 | 56,649,919 | Y | The invention relates to an RBOTDA sensing system for inhibiting a non-local effect at a high signal-to-noise ratio. The RBOTDA sensing system comprises a laser, a first electro-optical modulator, a first coupler, a polarization controller, a second electro-optical modulator, a second coupler, an optical fiber amplifier and a first grating filter, which are sequentially connected and are then connected with a first optical opening of an optical circulator; the radio frequency port of the first electro-optical modulator is connected with a microwave signal source; a polarization port is connected with one output end of the first coupler through a first bias pressure controller; a radio frequency port of the second electro-optical modulator is connected with the pulse generator; a polarization port is connected with one output end of the second coupler through a second bias pressure controller; a second optical opening of the optical circulator is connected with sensing optical fiber; a third optical opening is connected with a data collecting and processing unit sequentially through a second grating filter and a balanced detector. The system has the advantages that the pumping pulse exhaustion can be effectively compensated; the influence of the non-local effect on a single-end incidence system is inhibited; the system signal-to-noise ratio is improved; the system sensing precision is greatly improved. | en | Single-end RBOTDA sensing system for inhibiting non-local effect at high signal-to-noise ratio | 62061626_ | 59935936_,61589737_,62174635_,61092043_,65160897_,61064424_ | G01B 11/165,G01K 11/3206,G01K 11/322 | [
"G01B 11/16",
"G01K 11/32"
] | 103,050 |
457,233,436 | 2015-09-07 | 52,791,384 | N | A two-color fluorescence localization super-resolution biological microscopy method and a two-color fluorescence localization super-resolution biological microscopy system (100). The method comprises: performing two-color fluorescence labeling on a biological sample by using Alexa647 and Alexa750 fluorescent molecules or Cy5 and Cy7 fluorescent molecules, and soaking the biological sample in an imaging buffer solution (S601); irradiating the biological sample by laser to generate a first channel flashing fluorescent signal corresponding to the Alexa647 fluorescent molecule or the Cy5 fluorescent molecule as well as a second channel flashing fluorescent signal corresponding to the Alexa750 fluorescent molecule or the Cy7 fluorescent molecule respectively (S602); establishing a first biological structure super-resolution image and a second biological structure super-resolution image respectively according to the first channel flashing fluorescent signal and the second channel flashing fluorescent signal (S603); and aligning the first biological structure super-resolution image and the second biological structure super-resolution image so as to establish a third biological structure super-resolution image (S604). Thereby, the super-resolution biological microscopic imaging technique does not generate channel crosstalk and can significantly reduce background noise, so that the imaging quality is improved. | en | TWO-COLOR FLUORESCENCE LOCALIZATION SUPER-RESOLUTION BIOLOGICAL MICROSCOPY METHOD AND SYSTEM | 67627565_CN | 67839374_CN,69052148_CN,64293065_CN | G01N 21/6428,G01N 21/6458,G01N2021/6441,G01N2201/06113 | [
"G01N 21/64"
] | 101,769 |
553,179,613 | 2021-02-17 | 50,159,185 | N | To provide a diagnosis of, in one aspect, physiopathological ageing, in particular premature ageing or accelerated ageing, or a progeroid syndrome, such as Cockayne syndrome (CS), or neurodegenerative disorders or associated symptoms, or to provide a better diagnosis of symptoms of treatment and treatment.SOLUTION: The invention relates to a method for in vitro investigating mitochondrial replication dysfunction in a biological sample removed from a subject susceptible of suffering from physiological ageing or physiopathological conditions related to physiological ageing, or physiopathological ageing or associated symptoms or conditions, in particular premature ageing or accelerated ageing, or of a progeroid syndrome, such as Cockayne syndrome (CS), or neurodegenerative disorders or symptoms thereof, in which levels of at least one species selected in a group of: POLG1 protein, POLG1 RNA, POLG2 protein, protease(s) which have POLG as a target, in particular serine protease(s) such as HTRA3 protein, HTRA2 protein, HTRA3 RNA or HTRA2 RNA, or any combination of these species, are investigated. The invention also relates to kits and uses thereof, a therapeutic method against progeroid-like syndromes or symptoms, and a screening method for identifying particular protease inhibitor(s) and/or nitroso-redox stress scavenger compound(s) having relevance for the symptoms discussed herein.SELECTED DRAWING: None | en | METHOD FOR IN VITRO INVESTIGATING MITOCHONDRIAL REPLICATION DYSFUNCTION IN BIOLOGICAL SAMPLE, KIT AND USE THEREOF, THERAPEUTIC METHOD AGAINST PROGEROID-LIKE SYNDROME OR SYMPTOMS, AND SCREENING METHOD FOR IDENTIFYING PARTICULAR PROTEASE INHIBITOR(S) AND/OR NITROSO-REDOX STRESS SCAVENGER COMPOUND(S) | 58386374_,72542671_,62141662_ | 81922985_,81997781_,82296941_,82224427_ | A61P 25/00,A61P 25/16,A61P 25/28,A61P 43/00,C12Q 1/6883,C12Q2600/158,G01N 33/6872,G01N 33/6893,G01N2333/9126,G01N2333/96411,G01N2333/96433,G01N2800/04,G01N2800/2821,G01N2800/2835,G01N2800/7009,G01N2800/7042 | [
"A61P 25/28",
"C12Q 1/686",
"G01N 33/53",
"G01N 33/50",
"C12Q 1/37",
"C12Q 1/02",
"A61K 45/00",
"A61K 31/555",
"A61K 38/06",
"A61K 38/56",
"A61K 38/55",
"G01N 33/536",
"A61P 43/00",
"G01N 33/15"
] | 154,955 |
469,380,717 | 2016-07-29 | 55,308,611 | N | Disclosed is a slowing down driving guide system for a school zone. According to the present invention, a video showing the shape of a walking child, not a number, is provided. Specifically, in accordance with the speed of a vehicle, images classified into an image on a typical walking child, an image on a suddenly surprising child and an image on a falling child are provided such that safe driving of modern people insensitive to numbers can be actively induced in a school zone. Moreover, the video showing a walking child is projected on the surface of a road in the school zone where a vehicle is driven to be distinguished at a far distance such that recognition of the school zone is increased, thereby guiding slowing down-driving. In addition, a driver can feel as if he/she outsteps the laser video projected on the road surface, thereby increasing an attention about a possibility to hurt a child and having an effect to arouse an active psychology that a child traffic accident should be prevented. Furthermore, according to the present invention, in a case where a vehicle speed exceeds a limit speed of 30 km in the school zone, a laser video with a degree of risk, different depending on a degree of an over-speed, is projected to allow the driver to clearly and visually feel how dangerous his/her driving was in the school zone, thereby helping the driver make a habit of slowing down in the school zone. | en | SLOWING DOWN DRIVING GUIDE SYSTEM FOR SCHOOL ZONE | 64130787_KR | 64130787_KR | F21K 9/60,F21S 8/085,G01P 3/00,G08B 5/22,G08B 25/016,H01S 3/0007 | [
"H01S 3/00",
"G08B 5/22",
"G08B 25/01",
"F21K 99/00",
"F21S 8/08",
"G01P 3/00"
] | 103,559 |
533,004,638 | 2019-10-31 | 65,930,259 | N | A multimodal interaction-based upper limb rehabilitation robot training system, comprising an electroencephalogram signal acquisition and processing module (1), a robot body module (2), an affected-limb muscle comprehensive data acquisition and processing module, a rehabilitation training evaluation module (4), and a virtual reality module (5); the electroencephalogram signal acquisition and processing module (1) reports an action intention of a patient by means of an electroencephalogram signal to trigger rehabilitation training; the robot body module (2) assists an affected limb to do a rehabilitation exercise; the affected-limb muscle comprehensive data acquisition and processing module acquires and obtains a comprehensive data indicator of the affected limb; the rehabilitation training evaluation module (4) is used for processing and analyzing the muscle comprehensive data indicator of the affected limb, so as to obtain quantitative evaluation parameters of the arm rehabilitation training of the patient; and the virtual reality module (5) is used for displaying a virtual environment for rehabilitation training, and interacting with the patient by means of scene display and dialogues. A multimodal interaction upper limb rehabilitation robot training method provided by the upper limb rehabilitation robot training system achieves safe, scientific, and interesting upper limb rehabilitation training. | en | MULTIMODAL INTERACTION-BASED UPPER LIMB REHABILITATION ROBOT TRAINING SYSTEM | 63586689_CN | 76493896_CN,76967155_CN,76114057_CN,77383631_CN | A61B 5/369,A61B 5/389,A61H 1/0274,A61H2201/1207,A61H2201/165,A61H2201/1659,A61H2201/5007,A61H2201/5015,A61H2201/5043,A61H2201/5048,A61H2201/5061,A61H2201/5064,A61H2201/5079,A61H2230/105,A61H2230/605,A61H2230/625,A63B 21/00178,A63B 21/00181,A63B 21/0058,A63B 23/12,A63B 23/1209,A63B 24/0062,A63B 24/0087,A63B2024/0065,A63B2024/009,A63B2024/0093,A63B2071/063,A63B2071/0638,A63B2071/068,A63B2220/10,A63B2220/51,A63B2230/105 | [
"A63B 23/12",
"A61H 1/02"
] | 141,505 |
485,337,147 | 2017-04-17 | 56,309,193 | N | A naked-eye 3D display device and a method for realizing naked-eye 3D display. The device comprises: light sources (401, 501-503, 601), wherein the light sources (401, 501-503, 601) are located below a view window generation device; and the view window generation device, comprising: a phase information modulation device (410) for phase modulation, and a view angle image information modulation device (420) for amplitude modulation, wherein pixels (421-424, 521-523) of a view angle image generated by the view angle image information modulation device (420) match and are aligned with viewpoint pixels (411-414, 511-513) generated by the phase information modulation device (410). By using a holographic imaging and wave-front conversion principle, the phase information modulation device (410) is skilfully used for phase modulation, and at the same time, the view angle image information modulation device (420) is used for amplitude modulation, wherein the pixels (421-424, 521-523) of the view angle image generated by the view angle image information modulation device (420) match and are aligned with the viewpoint pixels (411-414, 511-513) generated by the phase information modulation device (410). Namely, an assembly with a phase modulation function is combined with the display technology with an amplitude modulation function, so that naked-eye 3D display is realized, and 3D image information is presented. | en | NAKED-EYE 3D DISPLAY DEVICE AND METHOD FOR REALIZING NAKED-EYE 3D DISPLAY | 68109617_CN,67325554_CN | 67195675_CN,69634023_CN,68059452_CN,63612178_CN,67352782_CN,69066428_CN,69641913_CN,67868999_CN,63576860_CN | G02B 30/33,G02B 30/36 | [
"G02B 27/22"
] | 112,739 |
519,866,563 | 2019-06-05 | 68,003,390 | N | The invention relates to the technical field of virtual reality simulation interaction, in particular to a virtual scene digital application interaction method which comprises the following steps of S1, collecting the social contact information and uploading the social contact information to a cloud platform; S2, importing the social contact information into a simulation control scene, and rearranging different information into a database capable of extracting the fragment information at will; S3, retrieving the scene information to be virtually performed from the database, combining and storing the scene information into a set, and then importing the set information into a virtual operation terminal; S4, performing information display and interactive communication at the virtual operation terminal through man-machine interaction; S5, using the virtual operation terminal to analyze and evaluate the user performance, and then enabling the user to feed back the interaction process of the virtual operation terminal. According to the invention, the basic function of the social software can be realized, the presence of the opposite party can be seen in a specific range, the real-time scenery in the whole world can be enjoyed without going out, the three-dimensional virtual image can be generated to communicate with and entertain online users, and the intelligent and humanized humanistic care is embodied. | en | Virtual scene digital application interaction method | 73668619_ | 59488518_,60959589_ | G06F 3/011,G06T 19/006 | [
"G06F 3/01",
"G06T 19/00"
] | 132,225 |
54,570,271 | 2005-10-21 | 35,697,137 | N | A system and method for determining a classifier to discriminate between two classesobject or non-object. The classifier may be used by an object detection program to detect presence of a 3D object in a 2D image (e.g., a photograph or an X-ray image). The overall classifier is constructed of a sequence of classifiers (or 'sub-classifiers'), where each such classifier is based on a ratio of two graphical probability models (e.g., Bayesian networks). A discrete-valued variable representation at each node in a Bayesian network by a two-stage process of tree-structured vector quantization is discussed. The overall classifier may be part of an object detector program that is trained to automatically detect many different types of 3D objects (e.g., human faces, airplanes, cars, etc.). Computationally efficient statistical methods to evaluate overall classifiers are disclosed. The Bayesian network-based classifier may also be used to determine if two observations (e.g., two images) belong to the same category. For example, in case of face recognition, the classifier may determine whether two photographs are of the same person. A method to provide lighting correction or adjustment to compensate for differences in various lighting conditions of input images is disclosed as well. As per the rules governing abstracts, the content of this abstract should not be used to construe the claims in this application. | en | OBJECT RECOGNIZER AND DETECTOR FOR TWO-DIMENSIONAL IMAGES USING BAYESIAN NETWORK BASED CLASSIFIER | 39764072_US,6632215_US | 39764072_US | G06K 9/6227,G06K 9/6278,G06K 9/6282,G06K 9/6296,G06V 30/194,G06V 40/161,G06V 40/164,G06V 40/172 | [
"G06K 9/00"
] | 50,611 |
545,758,730 | 2020-09-30 | 68,890,465 | N | A hand-eye-coordinated grasping method based on a fixation point of a person's eye, comprising the following steps: S1, using an eye tracker to determine a fixation point of a person's eye, and on the basis of the fixation point of the person's eye, determining a position of an object (20) in which a user is interested; S2, by means of discretizing and traversing, obtaining a set of executable grasping orientations of a mechanical arm (11) at each position in space, and storing same in a server; S3, on the basis of the position of the object in which the user is interested, accessing the server so as to search for and obtain a set of executable grasping orientations for said position; S4, on the basis of an inverse solution for each grasping orientation in the set of executable grasping orientations, obtaining a plurality of solutions for each joint angle of the mechanical arm, and determining optimal solutions from among the plurality of solutions for the joint angles, that is, obtaining an optimal joint angle corresponding to each joint of the mechanical arm; and S5, each joint of the mechanical arm moving to the corresponding optimal joint angles, and then grasping the object in which the user is interested with the best grasping orientation. The hand-eye-coordinated grasping method based on a fixation point of a person's eye features the advantages of accurate grasping and convenient operation. | en | HAND-EYE-COORDINATED GRASPING METHOD BASED ON FIXATION POINT OF PERSON'S EYE | 68075277_CN | 81192777_CN,81248329_CN,68334893_CN | B25J 9/1664,B25J 9/1697 | [
"B25J 9/16",
"G05B 19/04"
] | 149,967 |
39,692,947 | 2000-01-29 | 19,577,392 | N | A real-time brain wave analysis system and method are provided for analyzing real-time brain wave data measured by a brain wave measuring device in real time and providing the analyzed brain wave data to a user. The real-time brain wave analysis system includes a brain wave data receiver for receiving brain wave data which is measured and coded by an external brain wave measuring device, a brain wave data transformer for decoding the coded brain wave data which is received by the brain wave data receiver and fast Fourier transforming the decoded brain wave data, a statistic data generator for obtaining time domain mean values and frequency domain mean values with respect to the fast Fourier transformed brain wave data, a multigraph generator for generating a real-time multigraph using the fast Fourier transformed brain wave data, the time domain mean values and the frequency domain mean values, and a multigraph output for outputting the real-time multigraph to a display screen. Through frequency analysis and calculation of frequency band-based mean values as well as time-based analysis of a brain wave, the brain wave is simultaneously shown in the forms of a frequency/time/brain wave three-dimensional graph, a frequency band-based mean value/time two-dimensional graph, and a frequency band-based bar graph, thereby allowing the characteristics of the brain wave to be easily understood in real time. | en | REAL-TIME BRAIN WAVE ANALYSIS SYSTEM AND METHOD USING FAST FOURIER TRANSFORM | 32589771_KR,32589770_KR,32589768_KR,32589769_KR | 32589771_KR,32589770_KR | A61B 5/374,A61B 5/7257,A61B 5/743 | [
"A61B 5/374"
] | 26,080 |
335,181,807 | 2011-03-10 | 38,288,165 | N | A method for programming a deep brain stimulator implanted in a target region of a brain of a living subject for optimal stimulation, wherein the deep brain stimulator comprises at least one electrode having a plurality of electrode contacts spaced apart from each other, and any portion of the brain of the living subject is identifiable by a set of corresponding spatial coordinates. In one embodiment, the method comprises the steps of creating an efficacy atlas in which any spatial coordinates for a position in a target region of the brain of the living subject are related to a position with corresponding atlas coordinates in the efficacy atlas, and each position in the atlas coordinates of the efficacy atlas is associated with an efficacy of stimulation at a corresponding position in the spatial coordinates of the brain of the living subject; acquiring a position of each electrode contact of the at least one electrode in the spatial coordinates of the brain of the living subject; mapping the acquired position of each electrode contact of the at least one electrode in the spatial coordinates of the brain of the living subject onto a corresponding position in the efficacy atlas so as to determine the efficacy of stimulation at the acquired position in the spatial coordinates of the brain of the living subject; and selecting one or more electrode contacts having the highest efficacy for stimulation. | en | SYSTEM AND METHODS OF DEEP BRAIN STIMULATION FOR POST-OPERATION PATIENTS | 6372501_US,6372499_US,5905451_US,5224010_US | 6372501_US,6372499_US,5905451_US | A61N 1/0534,A61N 1/36082 | [
"A61N 1/36"
] | 68,350 |
4,414,264 | 1992-07-22 | 25,061,448 | Y | A method for synthesizing human speech using a linear mapping of a small set of coefficients that are speaker-independent. Preferably, the speakerindependent set of coefficients are cepstral coefficients developed during a training session using a perceptual linear predictive analysis. A linear predictive all-pole model is used to develop corresponding formants and bandwidths to which the cepstral coefficients are mapped by using a separate multiple regression model for each of the five formant frequencies and five formant bandwidths. The dual analysis produces both the cepstral coefficients of the PLP model for the different vowel-like sounds and their true formant frequencies and bandwidths. The separate multiple regression models developed by mapping the cepstral coefficients into the formant frequencies and formant bandwidths can then be applied to cepstral coefficients determined for subsequent speech to produce corresponding formants and bandwidths used to synthesize that speech. Since less data are required for synthesizing each speech segment than in conventional techniques, areduction in the required storage space and/or transmission rate for the data required in the speech synthesis is achieved. In addition, the cepstral coefficients for each speech segment can be used with the regressive model for a different speaker, to produce synthesized speech corresponding to the different speaker. | en | SPEECH SYNTHESIS USING PERCEPTUAL LINEAR PREDICTION PARAMETERS | 16386764_US | 12613911_US,16386765_US | G10L 19/06 | [
"G10L 19/06"
] | 4,395 |
526,542,707 | 2019-05-22 | 67,346,404 | Y | The utility model relates to a humanoid spherical shoulder joint mechanism, which belongs to the technical field of mechanical electronics and comprises a flexion and extension device and an extensiondevice. The bending and stretching device comprises two T-shaped plates which are symmetrically arranged, an end plate is arranged between the two T-shaped plates, an upper gear set is arranged on the end plate, the upper gear set comprises gears which are meshed in sequence, a first motor is arranged on the end plate, and the first motor is connected with the gear at the top end of the upper gear set; the stretching device comprises a U-shaped connecting plate; a connecting block, a second motor and a lower gear set are arranged in the U-shaped connecting plate; the lower gear set comprisestwo meshed gears, the connecting block comprises four side faces, two opposite side faces are connected with a gear at the tail end of the upper gear set through a rotating shaft, the other two opposite side faces are connected with a gear at the top end of the lower gear set through a rotating shaft, and a gear at the bottom end of the lower gear set is connected with a second motor through a rotating shaft. According to the shoulder joint mechanism, two-degree-of-freedom movement at the joint of the mechanical arm can be achieved, the size of the joint of the artificial limb is reduced, andpracticability is high. | en | Humanoid spherical shoulder joint mechanism | 66476628_ | 75234824_,70516604_,60443631_,59329433_,58327910_,59501985_,62344005_ | B25J 17/02 | [
"A61F 2/70",
"A61F 2/56"
] | 137,088 |
326,043,399 | 2010-03-17 | 42,936,783 | N | A decision-support system and computer implemented method automatically measures fee midline shift in a patient's brain using Computed Tomography (CT) images. The decision-support system and computer implemented method applies machine learning methods to features extracted from multiple sources, including midline shift, blood amount, texture pattern and other injury data, to provide a physician an estimate of intracranial pressure (ICP) levels. A hierarchical segmentation method, based on Gaussian Mixture Mode! (GMM), is used. In this approach, first an Magnetic Resonance Image (MRl) ventricle template, as prior knowledge, is used to estimate the region for each ventricle. Then, by matching the ventricle shape in CT images to fee MRl ventricle template set, the corresponding MRl slice is selected. Prom the shape matching result, the feature points for midline estimation in CT slices, such as the center edge points of the lateral ventricles, are detected. The amount of shift, along with other information such as brain tissue texture features, volume of blood accumulated in the brain, patient demographics, injury information, and features extracted from physiological signals, are used to train a machine learning method to predict a variety of important clinical factors, such as intracranial pressure (ICP), likelihood of success a particular treatment, and the need and/or dosage of particular drugs. | en | AUTOMATED MEASUREMENT OF BRAIN INJURY INDICES USING BRAIN CT IMAGES, INJURY DATA, AND MACHINE LEARNING | 37099005_US,6131908_US,41992066_US,37038019_US | 37038019_US,41992066_US,37099005_US | G06K 9/629,G06T 7/0012,G06T 7/42,G06T 7/68,G06T2207/10081,G06T2207/20056,G06T2207/20064,G06T2207/30016,G06V 10/806,G06V2201/033,G16H 30/20,G16H 30/40,G16H 50/20,G16H 50/30,Y02A 90/10 | [
"A61B 6/03",
"A61B 5/055"
] | 64,387 |
421,116,786 | 2014-07-29 | 51,355,658 | N | Methods for performing a surgical procedure using optical coherence tomography (OCT) are provided. The method includes orienting the subject for the surgical procedure, wherein orienting comprises imaging a region of the subject that contains a structure having a known orientational asymmetry, testing the image for the presence and location of the structure, and confirming correct orientation of the subject using the OCT image of the structure having the known orientational asymmetry; obtaining at least one image of the surgical region of the subject using OCT and constructing an initial structural view of the surgical region; computing at least one clinical parameter relevant as an end point for assessing the outcome of the surgical procedure using data derived from the OCT image; periodically assessing a surgical process and monitoring clinical outcomes related to the surgical procedure using changes to the OCT-derived structural view of the surgical region OCT or the changes to the computed clinical parameters derived from the at least an OCT image; determining if a surgical plan for the surgical procedure needs modification based on the periodic assessment and/or monitoring; modifying the surgical plan for the surgical procedure if it is determined modification is needed; and repeatedly assessing and monitoring, determining and modifying until it is determined that modification is not needed. | en | PROCEDURAL OPTICAL COHERENCE TOMOGRAPHY (OCT) FOR SURGERY AND RELATED SYSTEMS AND METHODS | 8705506_US | 50377452_US,16499821_US,12497136_US | A61B 3/0025,A61B 3/0041,A61B 3/1005,A61B 3/102,A61B 3/103,A61B 3/107,A61B2034/108,A61B2090/3735,A61F 2/16,A61F2009/00851 | [
"A61B 3/10",
"A61F 9/007",
"A61F 9/008",
"A61B 19/00"
] | 88,169 |
341,486,192 | 2010-09-30 | 45,559,645 | N | The present invention relates to a system for automatically classifying sleep stages on the basis of biosignals for predicting sleep stages using mutually different biosignals. For this purpose, the present invention relates to a system for automatically classifying sleep stages on the basis of biosignals, comprising: a biosignal detection unit using EEG, EOG, EMG, PPG, SKT, and GSR sensors to acquire various biosignals through mutually different channels; a signal-processing and characteristic extraction unit using a method suitable for extracting the characteristics of each biosignal to process the various biosignals acquired through each channel by the biosignal detection unit, and extract a certain characteristic from each of the biosignals; a subset-generating unit for generating biosignal groups based on the certain characteristics of each biosignal extracted by the signal-processing and characteristic extraction unit; and a performance evaluation unit for classifying the biosignals into sleep stage categories (i.e. REM, LS, and DS) using the biosignal groups formed by the subset-generating unit, and analyzing a performance evaluation of the groups for each stage, wherein for the analysis of sleep stages using mutually different biosignals, sleep stages can be accurately and conveniently predicted through the combination of biosignals in order to enable accurate measurement and convenience. | en | SYSTEM FOR AUTOMATICALLY CLASSIFYING SLEEP STAGES ON THE BASIS OF BIOSIGNALS | 7628547_KR,43450772_KR,32982383_KR | 43450772_KR,32982383_KR | A61B 5/01,A61B 5/0205,A61B 5/02416,A61B 5/0533,A61B 5/14551,A61B 5/369,A61B 5/374,A61B 5/389,A61B 5/398,A61B 5/4812,A61B 5/682,A61B 5/6826,A61B 5/7235,A61B 5/7264 | [
"A61B 5/0496",
"A61B 5/0402",
"A61B 5/0205"
] | 72,214 |
337,272,594 | 2011-02-10 | 44,672,855 | N | Disclosed is a server that specifies the relative position and orientation relationship of a plurality of markers not included in the same frame, without the use of auxiliary markers. In a feature point grouping association unit (107), feature points are grouped into small groups, followed between continuous frames and associated. Alternatively, small groups can be associated between separated frames by performing verification, if tracking of small groups between continuous frames is interrupted by a screen or by a sudden change to a camera angle, etc. In addition, two types of association data are generated and input to a camera and marker position and orientation estimation unit (109) according to the degree of substitution of small groups between any two frames read by a feature frame buffer (106) or a feature volume DB (108). Marker identification data from a marker identification unit (104) and the coordinates of same are handled as feature points. In the camera and marker position and orientation estimation unit (109), small groups associated using association data are handled as not having markers existing in actual space but as virtual markers that are defined by calculation and virtually, and camera position and orientation, markers, and virtual marker position and orientation are estimated and a world coordinate system conversion unit (113) is used to map to the world coordinate system. | en | SERVER USING WORLD COORDINATE SYSTEM DATABASE AND TERMINAL | 5239188_JP,19929650_JP,19855255_JP | 19929650_JP,19855255_JP | G06F 16/29 | [
"G01B 11/26",
"G01B 11/00",
"H04N 5/225",
"G06T 19/00",
"H04N 5/232",
"G06F 17/30"
] | 69,711 |
17,147,189 | 1995-10-16 | 26,990,807 | Y | In accordance with the present invention, there is provided a class of pyridine compounds of formula (I) which are modulators of acetylcholine receptors. The compounds of the invention displace acetylcholine receptor ligands from their binding sites. Invention compounds may act as agonists, partial agonists, antagonists or allosteric modulators of acetylcholine receptors, and are useful for a variety of therapeutic applications, such as the treatment of Alzheimer's disease and other disorders involving memory loss and/or dementia (including AIDS dementia); disorders of attention and focus (such as attention deficit disorder); disorders of extrapyramidal motor function such as Parkinson's disease, Huntington's disease, Gilles de la Tourette syndrome and tardive dyskinesia; mood and emotional disorders such as depression, panic, anxiety and psychosis; substance abuse including withdrawal syndromes and substitution therapy; neuroendocrine disorders and dysregulation of food intake, including bulimia and anorexia; disorders of nociception and control of pain; autonomic disorders including dysfunction of gastrointestinal motility and function such as inflammatory bowel disease, irritable bowel syndrome, diarrhea, constipation, gastric acid secretion and ulcers; pheochromocytoma; cardiovascular dysfunction including hypertension and cardia arrhythmias, comedication in surgical procedures, and the like. | en | PYRIDINE MODULATORS OF ACETYLCHOLINE RECEPTORS | 48506_US | 3535793_US,3535792_US,377043_US | A61P 1/00,A61P 3/04,A61P 9/00,A61P 21/00,A61P 25/00,A61P 25/02,A61P 25/14,A61P 25/28,A61P 25/30,A61P 29/00,A61P 43/00,C07D 401/04,C07D 405/14,C07F 7/0814 | [
"A61K 31/443",
"A61P 25/00",
"A61P 21/00",
"A61P 9/00",
"A61P 25/02",
"A61P 1/00",
"C07F 7/08",
"A61K 31/4427",
"A61P 29/00",
"C07D 401/04",
"A61K 31/445",
"A61K 31/44",
"C07D 405/14"
] | 19,091 |
527,081,256 | 2019-11-28 | 67,572,108 | N | The invention discloses a specific identification control method and device based on a two-dimensional intention expressed by a human body. The method is characterized in that the method comprises a human body posture action used for expressing a direction control intention and a head expression action used for expressing a confirmation intention, the direction control intention aims to control the motion direction of a specific identifier, and the confirmation intention aims to confirm the current operation and the operation type of an operation part captured by the specific identifier. Compared with the prior art, the method has the beneficial effects that two-dimensional combination of human body posture actions and head expression actions or voice instructions is utilized; a directioncontrol intention instruction mechanism adapted to the body action is established; an adaptive and independent 'confirmation 'intention instruction mechanism is also established; the problem of no control of a single voice technology is overcome, the problem of limitation of a single EOG electrooculogram technology is also overcome, and the problem of multi-dimensional control of human-computer interaction equipment and the problem of coordination between human body actions and control intentions are effectively solved through effective cooperation of the voice technology and the EOG electrooculogram technology. | en | Specific identification control method and device based on two-dimensional intention expressed by human body | 75457681_ | 60703668_,65924877_,64834832_ | G06F 3/013,G06F 3/015,G06F2203/011,G06F2203/012 | [
"G06F 3/01"
] | 137,485 |
472,196,459 | 2015-08-14 | 54,604,006 | N | The present invention pertains to autonomously constructing common sense and a general method of thinking from a series of input information, and autonomously generating, from natural language, a method for solving similar problems from input information pertaining to a series of problems and solutions. In the present invention, the relationship between information and recorded relevant information is analyzed as pertains to inputted information, the analyzed relationship is organized in a sentence structure and recorded, and information determined to be useful is autonomously recorded to construct a body of knowledge. Additionally, the inputted information is evaluated by collation with an internally constructed body of knowledge, and a process that corresponds to the evaluation result is autonomously executed. Additionally, some of the words included in information are generalized, a significant relationship between successively inputted units of information is extracted by enhancing the relationship between one set of patterns and another set of patterns corresponding to the information, and common sense and a general method of thinking are autonomously constructed from a series of input information. Furthermore, some of the words included in input information pertaining to a series of problems and solutions are generalized, and a method for solving similar problems is autonomously generated. | en | ARTIFICIAL INTELLIGENCE DEVICE | 64091467_JP | 64091467_JP | G06F 16/00,G06N 5/02,G06N 99/00 | [
"G06F 17/30",
"G06N 99/00",
"G06N 5/02"
] | 105,153 |
37,321,645 | 2001-05-01 | 26,896,919 | N | PROBLEM TO BE SOLVED: To provide a method of treating various kinds of CNS diseases and other diseases. SOLUTION: This method of treating a disorder or condition selected from sleep disorders; autism; pervasive development disorder; rheumatoid arthritis; osteoarthrosis; fibromyalgia; human immunodeficiency virus(HIV) infections; eating disorder; ulcerative colitis; Chrohn's disease; irritable bowel syndrome; functional abdominal pain; chronic fatigue syndrome; sudden infant death syndrome(SIDS); overactive bladder disorder; cough; itch; hiccupus; premenstrual syndrome; schizophrenia; delusional disorder; psychotic disorder; schizophreniform disorder; amenonheic disorder; obesity; epilepsy; primary movement disorders, spasticities, Scott's syndrome, Tourette's syndrome, palsys, amyolateral sclerosis(ALS); akinetic-rigid disorder, dyskinesias, movement disorder associated with Parkinson's disease or Huntington's disease; mastalgia syndrome; motion sickness; immune dysfunctions; generalized anxiety disorder; panic disorder; phobia; obsessive-compulsive disorder; post-traumatic stress disorder; depression; cyclothymia; bipolar disorder; neurocardiac disorder; arrythmia; addiction disorders involving addictions to behaviors; HIV-associated dementia, AIDS dementia complex(ADC), HIV encephalopathy, HIV related neuralgias; AIDS related neuralgias; epilepsy; and attention deficit hyperactivity disorder. | en | PHARMACEUTICAL USE OF FLUOROALKOXYBENZYLAMINO DERIVATIVE OF NITROGEN-CONTAINING HETEROCYCLIC COMPOUND | 30463309_ | 32246043_,32246042_,32246041_ | A61K 31/439,A61K 31/445,A61K 31/451,A61K 31/4525,A61K 31/453,A61K 31/46,A61P 1/04,A61P 1/06,A61P 1/08,A61P 1/14,A61P 3/04,A61P 11/14,A61P 13/10,A61P 19/00,A61P 19/02,A61P 21/02,A61P 25/00,A61P 25/02,A61P 25/04,A61P 25/06,A61P 25/08,A61P 25/14,A61P 25/16,A61P 25/18,A61P 25/20,A61P 25/22,A61P 25/24,A61P 31/18,A61P 37/00 | [
"A61P 25/00",
"A61P 25/02",
"A61K 31/445",
"A61P 11/14",
"A61P 1/06",
"A61P 21/02",
"A61P 3/04",
"A61K 31/451",
"A61P 25/04",
"A61P 13/10",
"A61P 1/04",
"A61K 31/4525",
"A61K 31/453",
"A61P 25/08",
"A61P 25/20",
"C07D 405/12",
"C07D 453/02",
"A61P 25/18",
"A61K 31/443",
"A61P 25/14",
"C07D 211/56",
"A61P 25/22",
"A61P 25/06",
"A61P 37/00",
"A61P 25/16",
"A61P 31/18",
"A61K 31/439",
"A61P 19/02",
"A61P 1/08",
"A61P 25/24",
"A61P 1/14"
] | 25,162 |
45,031,178 | 1999-02-05 | 22,112,207 | Y | The present invention relates to a process for selectively hydrogenating a block copolymer having at least one butadiene polymer block and at least one isoprene polymer block with a hydrogenation catalyst that hydrogenates isoprene blocks and butadiene blocks at a different rate, which process comprises (a) choosing a desired polymer molecular weight and a desired level of residual unsaturation in the isoprene block(s) and in the butadiene block(s) and determining the molecular weights of the butadiene block(s) and isoprene block(s) such that the time required to hydrogenate the butadiene block(s) and isoprene block(s) with the hydrogenation catalyst to the desired residual unsaturation levels is substantially the same; (b) anionically polymerising butadiene and isoprene to form a block copolymer as determined in step (a); and (c) selectively hydrogenating the block copolymer with the hydrogenation catalyst until the butadiene block(s) and/or the isoprene block(s) have reached the desired level of residual unsaturation. The present invention further relates to embodiments in which either the isoprene or butadiene block(s) molecular weight(s) are chosen. According to yet another embodiment both the isoprene and the butadiene block(s) molecular weights are chosen and the microstructure adapted such that the time required to hydrogenate the butadiene and isoprene blocks is substantially the same. | en | Minimum residence time hydrogenation process for polyisoprene-polybutadiene block copolymers | 5385355_NL | 16478291_US | C08F 8/04,C08F 287/00,C08F 297/02,C08L 51/006,C08L 53/00,C08L 53/005 | [
"C08F 297/04",
"C08L 53/00",
"C08L 51/00",
"C08F 297/02",
"C08F 8/04",
"C08F 287/00"
] | 28,983 |
500,035,539 | 2018-01-25 | 63,515,748 | Y | Disclosed is a motor imagery based electrocephalogram recognition method, system, equipment and a medium. The method includes the following steps: obtaining original electrocephalogram of multiple channels from an electrocephalogram sensor; filtering the original electrocephalogram and filtering out unrelated signals to obtain electrocephalogram filtering signals; decomposing the electrocephalogram filtering signals in each channel into a preset number of signal components according to a preset decomposition method; calculating the signal component in each channel according to reference leadsto obtain a component screening value, screening the signal components according to the component screening value, and adding the screened signal components of all channels to obtain recombination signals of all channel; extracting feature information in the recombination signals according to a common spatial pattern; and classifying signal samples of the feature information by using a linear support vector machine, and recognizing category information of the recombination signals of all channels according to the categories of the signal samples and sending the information. The method screensthe signals related to a task in the electrocephalogram of different individuals, removes the signals unrelated to the task, and improves the recognition accuracy of the electrocephalogram in a braincomputer interface. | en | Motor imagery based electrocephalogram recognition method, system, equipment and medium | 60067149_ | 60803822_,60786099_,67389805_,61133875_,58481867_ | A61B 5/369,A61B 5/7225,A61B 5/7264 | [
"A61B 5/0476"
] | 120,827 |
563,124,734 | 2021-11-02 | 78,986,640 | N | The invention discloses a self-adaptive bimodal emotion regulation method and system, and the method comprises the steps: inducing a user to present various emotional states, carrying out the subjective emotion scoring of the emotional titer and awakening degree in the various emotional states, and synchronously collecting objective physiological indexes through a collection module; establishing a mapping relation y=f(x) between the subjective emotion score (y) and the objective physiological index (x); applying taVNS initial stimulation to an expiration phase, applying BBS initial stimulation to an inspiration phase, collecting periodic objective physiological indexes of a user, and constructing a relationship S=f(y) between an emotion subjective score and a stimulation value; and setting stage BBS and taVNS stimulation values corresponding to a current emotional state, synchronously collecting objective physiological indexes, obtaining emotional states of all stages in adjustment, and judging whether BBS stimulation is applied or not and adjusting the taVNS stimulation values or not according to whether the emotional target threshold value is reached or not. According to the method, short-time BBS and taVNS stimulation are interactively applied to the user, adaptive adjustment of the stimulation value is achieved through repeated closed-loop control, and rapid emotion adjustment is achieved. | en | Self-adaptive bimodal emotion regulation method and system | 59003648_ | 65372920_,71966653_,59463518_,84636450_,66359857_ | A61B 5/0205,A61B 5/0245,A61B 5/08,A61B 5/0816,A61B 5/091,A61B 5/165,A61B 5/7235,A61B 5/7267,A61M 21/00,A61M 21/02,A61M2021/0044,A61M2021/0072,A61N 1/36025,A61N 1/36036 | [
"A61B 5/16",
"A61M 21/00",
"A61N 1/36",
"A61M 21/02",
"A61B 5/00",
"A61B 5/0205"
] | 161,422 |
563,971,901 | 2021-11-04 | 79,245,183 | N | The invention provides a middle and long distance identity authentication method and device based on multi-mode biological feature recognition, and the method comprises the steps: firstly, shooting a scene picture based on a visible light scene camera, detecting a user, further adjusting the angles of a binocular depth camera, an infrared iris camera and a light supplement lamp module to face the to-be-authenticated user according to the position of the to-be-authenticated user in the scene picture. The distance of the to-be-authenticated user is detected based on the binocular depth camera, the angle and the focal length of the infrared iris camera are adjusted according to the distance, and the angle and the brightness of the light supplementing lamp module are adjusted according to the distance, so that a high-definition face image and a high-definition iris image are shot. Face features and iris features are respectively extracted based on the face image and the iris image and fused for identity authentication, so that the recognition accuracy is greatly improved. According to the device, the distance of the to-be-authenticated user is determined through the binocular depth camera, the angle and the focal length of the infrared iris camera are adjusted based on the position and the distance of the to-be-authenticated user, and a clearer face image and a clearer iris image can be obtained. | en | Middle and long distance identity authentication method and device based on multi-mode biological feature recognition | 58242545_ | 59306282_,60226224_,63823231_,60583492_,58668328_ | G06K 9/629 | [
"G06V 40/16",
"G06V 40/70",
"G06K 9/62",
"G06V 10/764",
"G06V 10/141",
"G06V 10/80"
] | 161,928 |
47,101,875 | 1979-10-29 | 26,779,062 | Y | A method and apparatus for analyzing and synthesizing speech information in which a predetermined vocabulary is spoken into a microphone, the resulting electrical signals are differentiated with respect to time, digitized, and the digitized waveform is appropriately expanded or contracted by linear interpolation so that the pitch periods of all such waveforms have a uniform number of digitizations and the amplitudes are normalized with respect to a reference signal. These 'standardized' speech information digital signals are then compressed in the computer by subjectively removing preselected relatively low power portions of the signals by a process termed 'X period zeroing' and by discarding redundant speech information such as redundant pitch periods, portions of pitch periods, redundant phonemes and portions of phonemes, redundant amplitude information (delta modulation) and phase information (Fourier transformation). The compression techniques are selectively applied to certain of the speech information signals by listening to the reproduced, compressed information. The resulting compressed digital information and associated compression instruction signals produced in the computer are thereafter injected into the digital memories of a digital speech synthesizer where they can be selectively retrieved and audibly reproduced to recreate the original vocabulary words and sentences from them. | en | Method and apparatus for speech synthesizing | 5989117_US | 6045062_US,5526768_US | G10L 13/047,G10L 19/00 | [
"G10L 19/00",
"G10L 13/04"
] | 33,236 |
17,092,111 | 1995-03-31 | 22,890,713 | Y | The present invention is a system and method for profiling the behavior of entities, that are members of a peer group, where the entities have common characteristics, exist in the same field of activity, or domain, and are generally expected to behave similar to one another. First, behavior characteristics, or indicators of a target behavior, are determined. Norms and fuzzy sets are established for each behavior characteristic and then fuzzy logic is used to develop a series of scores. A behavior profile is developed from a collection of scores, and is organized either linearly or in a hierarchy, that can be used to compare the degree to which an entity within a peer group is, or is not, associated with a set of behavior characteristics relative to others in the same peer group. Another novel feature of the present invention is that the number and organization of behavior characteristics comprising the behavior profile are expandable without restriction, and that the relative importance, or weight, of each behavior characteristic, or group of characteristics, can be achieved linguistically, not numerically. Transportability is attained by representing domain knowledge (i.e. objects, hedges and fuzzy sets in fuzzy logic rules) as elements in multiple subscripted variables, or symbolic lists, that are populated from information stored on data files located on an external storage device. <IMAGE> | en | Fuzzy logic entity behavior profiler | 11589_US | 3429274_US | G06Q 10/10,Y10S 706/90 | [
"G06F 9/44",
"G06Q 10/10",
"G06N 7/02"
] | 18,752 |
4,247,305 | 1986-05-29 | 10,579,908 | Y | ICI Am 1699-S Cinnoline Compounds The compounds of the invention are cinnolines of the following formula (I): <IMG> wherein R3 is selected from a group consisting of an amide of formula CONRR9 and a ketone of formula COCRR10R11; R4 is selected from a group consisting of -NR12R13 and OH; R5, R6 and R7 are each independently selected from a group consisting of hydrogen, (1-5C)alkyl, chloro and methoxy; R8 is selected from a group consisting of (1-5C)alkyl, (2-4C)alkenyl, (2-5C)alkynyl, (3-6C)-cycloalkyl, (4-7C)cycloalkylalkyl, phenylmethyl, and (1-4C)hydroxyalkyl; R and R9 are each independently selected from a group consisting of hydrogen (provided that R and R9 cannot both be hydrogen at the same time), (1-4C)alkyl, (3-4C)alkenyl, (3-4C)alkynyl, (4-5C)-cycloalkylalkyl, (2-4C)fluoroalkyl having 1-4 fluoros (provided that no fluorine is on a carbon bonded to a nitrogen), 4,5-dihydrothiazol-2-yl, (2-4C)hydroxyalkyl, phenylmethyl, or R and R9, when taken together, form a (4-5C)alkylene in which one of the carbons may optionally be replaced by an oxygen, or, when taken together, form a 4 carbon alkenylene; R10 and R11 are each hydrogen; R12 and R13 are each independently selected from a group consisting of hydrogen, (1-4C)alkyl, (4-6C)cycloalkylalkyl and (2-4C)acyl; and pharmaceutically acceptable salts thereof. The compounds of the invention are useful as central nervous system (CNS) depressants. | en | CINNOLINE COMPOUNDS | 7530847_US | 16150995_US | A61P 25/00,A61P 25/22,C07D 237/28,C07D 403/06,C07D 417/04,C07F 7/1804 | [
"A61P 25/22",
"C07D 237/28",
"A61P 25/00",
"C07D 237/00",
"C07D 417/12",
"A61K 31/50",
"C07F 7/18",
"A61K 31/502",
"C07D 417/04",
"C07D 403/06",
"C07D"
] | 3,658 |
485,130,073 | 2017-07-07 | 58,860,232 | N | An electrical stimulation device and method based on the difference frequency ultrasound and inverse magnetoacoustic coupling technology are disclosed. The device is provided with a power supply module for supplying power to an N pole electromagnet and an S pole electromagnet, a teslameter for detecting the magnetic field strength, first and second focused ultrasound transducers fixed on a sample, and an ultrasound pulse transmitter providing excitation signals for the two ultrasound transducers. The method includes the steps of placing and fixing a sample to be stimulated according to the direction of an electromagnetic field; fixing the two ultrasonic transducers on the head of the sample to be stimulated; applying magnetic fields to the sample to be stimulated; applying excitation ultrasonic signals by the ultrasonic pulse transmitter to the sample to be stimulated respectively through the two ultrasonic transducers; adjusting the focus positions of the two ultrasonic transducers; adjusting the ultrasonic propagation directions of the two ultrasonic transducers; and adjusting the excitation intensity of the two ultrasonic transducers and the magnitude of the applied magnetic fields. According to the invention, deep electrical stimulation of precise positioning can be realized, and a novel device and method for the scientific research of brain nerve functions in brain science are provided. | en | Electrical stimulation device and method based on difference frequency ultrasound and inverse magnetoacoustic coupling technology | 58921041_ | 60997321_,59424095_,60323900_,65663301_,60605559_ | A61N 2/002,A61N 2/006,A61N 2/02,A61N 7/00,A61N 7/02,A61N2007/0026 | [
"A61N 7/00",
"A61N 7/02",
"A61N 2/02"
] | 112,632 |
564,797,824 | 2021-07-07 | 79,554,924 | N | The present invention relates to a heart disease diagnosis device using a deep-learning-based electrocardiogram, and a method therefor. The heart disease diagnosis device using a deep-learning-based electrocardiogram, according to the present invention, includes: an input unit for receiving electrocardiogram data; a feature extraction unit, which analyzes the electrocardiogram data to extract n features for diagnosing heart diseases; a determination model generation unit which generates identification codes for the n features according to the diagnosis names of the heart diseases, and which generate n determination models that determine each feature by learning the generated identification codes; a diagnosis model generation unit for generating diagnosis models that derive the diagnosis names of the heart diseases by learning each value determined by the determination models; and a control unit for outputting diagnosis results for the electrocardiogram data to be diagnosed using the determination models and the diagnosis models. According to the present invention, a deep learning algorithm is used so that the electrocardiogram data for each feature is learned, and the trained models are used so that the diagnosis names of the heart diseases are derived, and thus diagnosis accuracy is improved, and the reasons for diagnosis are presented together so that diagnosis reliability can be improved. | en | HEART DISEASE DIAGNOSIS DEVICE USING DEEP-LEARNING-BASED ELECTROCARDIOGRAM, AND METHOD THEREFOR | 82884754_KR,68533798_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 5/349",
"G06N 3/08",
"A61B 5/363",
"A61B 5/00",
"G16H 50/20"
] | 162,351 |
340,478,572 | 2011-06-30 | 45,397,167 | Y | PURPOSE: A method for learning a foreign language word and an apparatus for learning the foreign language using the same are provided to memorize a remembered word for a long time and easily memorize a foreign language word by displaying the syllable of the foreign language word with native language pronunciation and inputting the corresponding vowel and consonant of the foreign language word. CONSTITUTION: A plurality of learner computers(81-1, 81-2, 81-3) connects to a wired and wireless network(82). A learning server(83) maintains a communication session with the learner computer. A declarative memory learning algorithm outputs the native speaker pronunciation and the word meaning information of a foreign language word several times and is offered in a state where the spelling of a word for studying is non-marked. The phonetic information learned in the declarative memory learning algorithm is displayed with the phonetic representation or the phonic symbol of a native language. A learning server offers a non-declarative memory learning algorithm which makes a user reiterate the spelling selection or the input of the foreign language word till an inputted foreign language word becomes a correct answer. A database(84) offers semantic information, native speaker pronunciation information, syllable information, the phonetic representation or the phonic symbol of native language pronunciation. | en | METHOD FOR STUDYING FOREIGN LANGUAGE WORD AND INSTALLATION USING THEREOF | 43348927_KR | 43348928_KR | G06Q 50/20,G09B 5/065,G09B 7/04,G09B 19/06 | [
"G09B 5/06",
"G06Q 50/20",
"G09B 19/06"
] | 71,453 |
339,816,338 | 2011-06-08 | 45,097,812 | N | Disclosed is an assessment system for assessing speech sound clarity degree and comfortableness simultaneously and in a short time. The assessment system is provided with a presented speech sound control unit for referring to a speech sound database storing data of a plurality of speech sounds and data of at least one group of the plurality of speech sounds to determine a speech sound to be presented to a user; an auditory stimulus presentation unit for presenting the determined speech sound as a voice to the user; a visual stimulus presentation unit for presenting the determined speech sound as a character to the user; an addition-by-group unit for referring to the speech sound database to add an event-related potential of brainwave signals of the user to speech sounds for each group; a first assessment unit for assessing for each group, on the basis of the event-associated potential added for each of the groups, the comfortableness representing whether or not the user has been listening to the speech sounds comfortably, and assessing at least whether or not the user has been listening with effort to the speech sound, and whether or not the user had felt the speech sound to be noisy; and a second assessment unit for assessing, from the event-related potential, the clarity property representing whether or not the user has been listening with clarity to the speech sound for each speech sound. | en | HEARING ASSESSMENT SYSTEM, METHOD OF SAME AND PROGRAM OF SAME | 16095891_,32387539_,6156118_JP,43137451_ | 43137451_,32387539_,16095891_ | A61B 5/38,H04R 25/70 | [
"A61B 5/0476",
"A61B 5/12",
"H04R 25/00"
] | 71,149 |
527,298,626 | 2018-11-02 | 65,690,274 | N | A method and a system for acquiring a line-of-sight direction of human eyes by means of a single camera. Said method comprises: step S1, using an image data acquisition device to acquire facial images at various angles, the facial images being used as data for neural network deep learning training; step S2, at least calculating the coordinates of the position of human eyes in the images acquired in step S1 and the coordinates of the position of corresponding line-of-sight gaze; step S3, inputting, into a neural network for performing machine learning, the facial images at the various angles in step S1 comprising the coordinates of the position of the human eyes and the line-of-sight gaze, and performing training to obtain a neural network capable of correctly outputting the line-of-sight direction when a facial image is inputted; step S4, acquiring, by means of a real-time acquisition camera, a facial image of a driver while driving, inputting same into the trained neural network, and the neural network outputting the real-time line-of-sight direction corresponding to the facial image. The method uses an improved image data training method, a coordinate system transformation method, and a neural network model adapted thereto; the accuracy of the line-of-sight direction of human eyes calculated by the network model is high, satisfying the needs of various autonomous driving/assisted driving. | en | METHOD AND SYSTEM FOR ACQUIRING LINE-OF-SIGHT DIRECTION OF HUMAN EYES BY MEANS OF SINGLE CAMERA | 74289718_CN | 73332074_CN,76124554_CN | G06N 3/0454,G06N 3/084,G06V 20/597,G06V 40/19 | [
"G06N 3/08",
"G06N 3/04",
"G06K 9/00"
] | 137,696 |
54,577,275 | 2005-12-13 | 36,585,135 | N | This invention relates to a method for significantly increasing te accuracy of predicting and selecting an antidepressant agent, or other pharmacological agent for treatment of a disease state, that will be effective based on pre-treatment or baseline, placebo treatment and/or active treatment, or other post-treatment time period data, early changes quantitative EEG or other brain imaging functional state and/or anatomical data (such as magnetoencephalography (MEG), quantitative MEG (QMEG), fMRI, CAT scan, PET, functional PET, X-ray, etc.), time change/time series, weighted factor, principal component, regional ensemble and/or artificial intelligence analysis. Utilization of such methods may also be applied to enhance individual statement verification and/or lie detection. In addition, such methods can be used to identify physiological state, pathophysiological state, including disease diagnosis, disease progression and/or remission, and other health and/or disease states and changes of interest. Furthermore, the invention may be used to discover novel applications for therapeutic entities, deduce the mode of action of one or more therapeutic entities, improve testing of candidate therapeutic entities, and be used by the pharmaceutical industry or research community to eliminate or select agents or therapeutic modalities for further development as therapeutic agents or treatment modalities. | en | MEDICATION TREATMENT SELECTION STATEGY AND CLINICAL MODEL METHODS | 39770531_US | 39770532_US,39770531_US | A61B 5/374,G16B 40/00,G16B 40/20,G16H 20/10,G16H 50/20,G16H 70/20 | [
"G01N 33/50",
"G06F 19/00",
"G06Q 10/00"
] | 50,715 |
503,790,317 | 2018-01-12 | 62,656,618 | N | An electromyographic signal acquisition method and apparatus applicable to the technical field of wearable electronic devices. The electromyographic signal acquisition method comprises: controlling an acquisition module in a wearable apparatus to measure electromyographic signals at preset body positions at a first acquisition frequency corresponding to a normal mode (S101); obtaining the strength of the electromyographic signals, and determining whether the strength is less than a first preset threshold (S102); and if yes, controlling the acquisition module to operate in an energy-saving mode, and controlling the acquisition module to measure the electromyographic signals at the preset body positions at a second acquisition frequency corresponding to the energy-saving mode, wherein the second acquisition frequency is lower than the first acquisition frequency (S103). The electromyographic signal acquisition method and apparatus enable a wearable apparatus to distinguish unconscious behavior movements from normal training movements. In a non-exercise training state, by controlling an acquisition module to measure electromyographic signals at an acquisition frequency corresponding to an energy-saving mode, the acquisition frequency is reduced, the acquisition quantity of invalid electromyographic signals is decreased, and the effectiveness of electromyographic signal acquisition is improved. | en | ELECTROMYOGRAPHIC SIGNAL ACQUISITION METHOD AND APPARATUS | 67871747_CN | 67172509_CN | A61B 5/30,A61B 5/389,A61B 5/6802 | [
"G06K 9/00"
] | 122,978 |
53,948,793 | 2007-07-24 | 38,972,176 | Y | The present invention relates to the formulations of ester derivatives of capsaicin and ester derivatives of myristoleic acid. These derivatives are capable of reverting to the active parent compound following enzymatic or chemical hydrolysis. These derivatives have a higher lipophilicity, lipid solubility and less irritation to the skin than the parent compound, and hence are better able to be incorporated into certain pharmaceutical formulations, including cream and ointment pharmaceutical formulations. The pharmaceutical compositions of the present invention contain a compound of following formula (Ia): R—CO-CAP (Ia) wherein CAP refers to collectively the capsaicins represented in FIG. 1 and a compound of formula (Ib): MCO-O—R (Ib) wherein MCO refers to myristoleic acid. In formulae Ia and Ib, R is selected from alkyl groups of up to about 18 carbon atoms and aryl groups of up to about 18 carbon atoms and alkylene group of up to about 18 carbon atoms and an arylene group of up to about 18 carbon atoms. The alkyl, aryl and alkylene groups may be substituted or un-substituted, branched or straight chains. In addition, R may contain heteroatoms and may be straight chained or branched. The pharmaceutical compositions containing compounds of formulae Ia and Ib are useful for pain management in mammals in vivo and have been contemplated to be used in the treatment of various pains in humans. | en | Esters of capsaicin for treating pain | 8369769_US,10331632_US,10331633_US | 10331632_US,10331633_US | A61K 31/215,A61K 31/715,A61K 31/721,A61P 19/02,A61P 25/04,A61P 29/00,A61P 31/00,A61P 31/04,A61P 31/12 | [
"A01N 37/44",
"A01N 37/12",
"A61K 31/24",
"A61K 31/721",
"A61P 25/04",
"A61K 31/715",
"A01N 37/00",
"A61K 31/215"
] | 47,634 |
549,162,028 | 2020-03-12 | 75,441,420 | Y | The present invention relates to a sound system, and more particularly, to a sound system using an earbud device that provides an acoustic and optical method corresponding to the psychological state of a user (wearer) by using an EEG sensor, an optical element and a speaker. A sound system using an earbud device according to the present invention includes a body part having an internal accommodating space; an ear tip mounted on a first side surface of the body part and having an acoustic path; a first optical element mounted on the first side surface of the body part; a light irradiator including a second optical element mounted on the acoustic path of the eartip; an EEG sensor including a pair of first and second electrodes spaced apart from each other and mounted on the side of the eartip to detect EEG; a speaker for emitting sound through the acoustic path; a communication unit for performing communication with an electronic communication device; and first and second earbud devices including a data processor that controls the light irradiator to perform a light irradiation function, transmits the detected value from the EEG sensor to an electronic communication device through the communication unit, receives a stereo sound signal of binaural beat sound data from the electronic communication device and emits sound through the speaker to perform a binaural beat sound reproduction function. | en | SOUND SYSTEM USING EARBUD DEVICE | 68779675_KR | 70323268_,59204653_,78488658_ | A61B 5/02405,A61B 5/165,A61N 5/0616,A61N 5/0618,H04R 1/1091,H04R2420/07 | [
"H04R 1/10",
"A61B 5/16",
"A61N 5/06",
"A61B 5/024"
] | 152,209 |
544,011,845 | 2020-06-24 | 67,480,086 | 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 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 fluctuations in the local oscillator phasor; processing the receiver output signal based on the measurement result to provide a corrected receiver output signal such that an effect of fluctuations in the local oscillator phasor on the corrected receiver output signal is reduced; and applying distributed back-reflection processing on the corrected 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 LOCAL OSCILLATOR INSTABILITY IN A COHERENT FIBER OPTICAL SENSOR | 72275721_FR | 5422770_NO,5789231_NO | G01D 5/353,G01D 5/35306,G01D 5/35358,H04B 10/61 | [
"H04B 10/61",
"G01D 5/353"
] | 148,494 |
4,207,151 | 1984-07-06 | 26,461,163 | Y | In a low bit-rate coding device for coding a discrete speech signal sequence into an output code sequence for use in exciting a synthesizing filter, an autocorrelation function of an impulse response calculated for the synthesizing filter by using a parameter sequence representative of a spectral envelope of the segment and a cross-correlation function between the segment and the impulse response are used to produce a sequence of excitation pulses by successively deciding locations and amplitudes of the pulses with the location of a currently processed pulse decided by the use of the locations and the amplitudes of previously processed pulses and with renewal of the previously processed pulse amplitudes carried out concurrently with decision of the currently processed pulse amplitude by the use of the previously and currently processed pulse locations. Alternatively, the currently processed pulse location and the previously and currently processed pulse amplitudes are decided by the use of the previously processed pulse locations. The parameter and the excitation pulse sequences are coded and then combined into the output code sequence. The correlation functions are preferably calculated with the segment and the impulse response weighted by weights dependent on the parameter sequence. The segment may be a frame of the speech signal sequence or a subframe of a constant or variable length. | en | LOW BIT-RATE SPEECH CODING WITH DECISION OF A LOCATION OF EACH EXCITING PULSE OF A TRAIN CONCURRENTLY WITH OPTIMUM AMPLITUDES OF PULSES | 5226586_ | 16114766_ | G10L 19/10 | [
"G10L 19/10",
"G10L 19/00"
] | 3,565 |
4,553,293 | 1997-04-03 | 26,794,400 | Y | A drowsiness detection system constructed according to the invention provides improved performance by preserving and analyzing newly discovered information contained in rhythmic signal components above 30 Hz which the prior art has universally ignored or discarded as 'noise.' In the first and second embodiments of the invention, one or more analog EEG signals are collected from a subject, appropriately filtered, converted into digital form, and subjected to frequency analysis. Selected signal components from the frequencies above 30 Hz (such as the frequency range 80-420 Hz), which have a high correlation with subject drowsiness, are isolated, and their amplitude, energy, or power contribution to the EEG signal is used to produce a continuous output measur e reflecting the subject's alertness or drowsiness. The output measure may be compared with a threshold to provide an indication of whether the subject is excessively drowsy. In a third embodiment, the analog EEG signal is supplied to a plurality of analog signal processing channels corresponding to respective predefined frequency ranges. Selected signal components in frequencies above 30 Hz are isolated (in a manner analogous to that of the first and second embodiments), and their amplitude, energy, or power contribution to the EEG signal is used to produce a continuous output measure reflecting the subject 's alertness or drowsiness. | en | ALERTNESS AND DROWSINESS DETECTION AND TRACKING SYSTEM | 13548151_US | 16529788_US,16529787_US | A61B 5/16,A61B 5/369,A61B 5/4094,A61B 5/7203,A61B 5/7257 | [
"A61B 5/16",
"A61B 5/0476",
"G08B 21/06",
"G08B 21/00",
"A61N 5/00"
] | 5,194 |
15,816,265 | 2001-07-31 | 24,833,780 | Y | A method for choosing an image from a plurality of three-dimensional models which is most similar to an input image is provided. The method includes the steps of: (a) providing a database of the plurality of three-dimensional models; (b) providing an input image; (c) positioning each three-dimensional model relative to the input image; (d) for each three-dimensional model, determining a rendered image that is most similar to the input image by: (d)(i) computing a linear subspace that describes an approximation to the set of all possible rendered images that each three-dimensional model can produce under all possible lighting conditions where each point in the linear subspace represents a possible image; and one of(d)(ii) finding the point on the linear subspace that is closest to the input image or finding a rendered image in a subset of the linear subspace obtained by projecting the set of images that are generated by positive lights onto the linear subspace; (e) computing a measure of similarly between the input image and each rendered image; and (f) selecting the three-dimensional model corresponding to the rendered image whose measure of similarity is most similar to the input image. Step (d) is preferably repeated for each of a red, green, and blue color component for each three-dimensional model. The linear subspace is preferably either four-dimensional or nine-dimensional. <IMAGE> | en | Object recognition using linear subspaces | 47115869_US | 1023736_US,1023737_IL | G06K 9/6247,G06T 15/506,G06V 10/60,G06V 40/169 | [
"G06K 9/46",
"G06K 9/00",
"G06K 9/62",
"G06K 9/64",
"G06T 7/00",
"G06T 15/50"
] | 13,200 |
16,555,330 | 1984-10-27 | 16,552,034 | Y | In an electronic musical instrument, a tone generation designating circuitry provides, upon depression of each playing key, a set of parameter signals designating properties such as pitch and timber of a tone to be generated and a key-on signal indicating the depression of the key, and in response to these parameter signals and key-on signal, a tone generator generates a vibratory wave signal having the designated tone properties at the designated timing as a tone signal for the depressed key. The tone generation designating circuitry includes a microcomputer to control and perform data processing. There are further provided a first clock pulse generator which generates time frame clock pulses defining consecutive time frames, and a second clock pulse generator which generates pitch clock pulses defining fundamental frequencies of human voice for the respective time frames. In a human voice mode, the microcomputer provides for each time frame a plurality of parameter signals designating a plurality of formant frequencies of a human voice and controls to feed the pitch clock pulses to the tone generators in place of the key-on signals to initialize the respective vibrations at every arrival of the clock pulse. Thus many harmonies exhibiting the designated formant pattern are produced above the designated fundamental, and such pattern is varied with time to simulate speech by human voices. | en | ELECTRONIC MUSICAL INSTRUMENT | 2257597_JP | 2430710_JP | G10H 1/08,G10L 25/00,Y10S 84/12 | [
"G10L 11/00",
"G10H 5/00",
"G10H 7/00",
"G10H 1/14",
"G10L 13/00",
"G10H 1/08"
] | 17,356 |
499,218,494 | 2018-04-04 | 63,314,778 | Y | The invention provides an MRI (Magnetic Resonance Imaging) brain tumor localization and intratumoral segmentation method based on a deep cascaded convolution network, which comprises the steps of building a deep cascaded convolution network segmentation model; performing model training and parameter optimization; and carrying out fast localization and intratumoral segmentation on a multi-modal MRIbrain tumor. According to the MRI brain tumor localization and intratumoral segmentation method provided by the invention based on the deep cascaded convolution network, a deep cascaded hybrid neuralnetwork formed by a full convolution neural network and a classified convolution neural network is constructed, the segmentation process is divided into a complete tumor region localization phase andan intratumoral sub-region localization phase, and hierarchical MRI brain tumor fast and accurate localization and intratumoral sub-region segmentation are realized. Firstly, the complete tumor region is localized from an MRI image by adopting a full convolution network method, and then the complete tumor is further divided into an edema region, a non-enhanced tumor region, an enhanced tumor region and a necrosis region by adopting an image classification method, and accurate localization for the multi-modal MRI brain tumor and fast and accurate segmentation for the intratumoral sub-regions are realized. | en | MRI (Magnetic Resonance Imaging) brain tumor localization and intratumoral segmentation method based on deep cascaded convolution network | 58386724_ | 58437969_,61027744_ | G06N 3/0454,G06N 3/084,G06T 7/0012,G06T 7/11,G06T2207/10088,G06T2207/20021,G06T2207/20081,G06T2207/20084,G06T2207/30016,G06T2207/30096 | [
"G06T 7/00",
"G06N 3/08",
"G06T 7/11",
"G06N 3/04"
] | 120,487 |
503,027,485 | 2018-04-10 | 64,155,492 | Y | The present invention discloses an assessment method of a low interception performance of a spread spectrum radar communication integration system which overcomes the problems that the assessment of the low interception performance in the prior art cannot reflect the quantitative relation between a radar communication integration emitter, a reconnaissance plane, work environmental parameters and acommunication function and the low interception performance, does not reflect the influence of the working modes of a transmitting antenna and the radar communication integration emitter on the low interception performance and causes and non-real assessment result. The method comprises the implementation steps of: (1) constructing a low interception performance assessment structure model; (2) calculating radar information capture probability of a radar reconnaissance plane; (3) calculating a communication capture distance; (4) determining a normalization communication capture distance; (5) setting an influence factor; (6) obtaining a low interception performance characterization amount; and (7) verifying a low interception performance. The assessment method considers the detection performance and the communication performance of the radar communication integration system and the parameters and working modes of the transmitting antenna to allow the assessment result to be more real and complete. | en | Assessment method of low interception performance of spread spectrum radar communication integration system | 66998455_ | 59630133_,63716147_ | G01S 7/40,H04B 17/00,H04B 17/15,H04B 17/29 | [
"G01S 7/40",
"H04B 17/15",
"H04B 17/29",
"H04B 17/00"
] | 122,663 |
547,040,747 | 2020-09-02 | 74,852,120 | N | The present invention relates to an apparatus for predicting a region-specific cerebral cortical contraction rate on the basis of a CT image. The present invention may comprise: a deep learning step of a deep learning network learning, by selecting and using CT images of a plurality of patients and segmentation information thereof, a correlation between the CT images and the segmentation information; a feature extraction step of extracting, on the basis of each piece of the segmentation information, semantic feature information corresponding to the CT images; a machine learning step of a machine learning model learning, after a plurality of region-specific cerebral cortical contraction rates corresponding to each piece of the semantic feature information are additionally acquired, a correlation between the semantic feature information and the region-specific cerebral cortical contraction rates; a segmentation step of, when an image to be analyzed is input, acquiring segmentation information corresponding to the image to be analyzed, through the deep learning network; and a prediction step of predicting and reporting, after semantic feature information corresponding to the image to be analyzed is extracted on the basis of the segmentation information, a region-specific cerebral cortical contraction rate corresponding to the semantic feature information through the machine learning model. | en | METHOD AND APPARATUS FOR PREDICTING REGION-SPECIFIC CEREBRAL CORTICAL CONTRACTION RATE ON BASIS OF CT IMAGE | 64807294_KR,63985388_KR | 67362669_KR,67362799_KR,65203215_KR,80550798_KR | A61B 5/055,A61B 6/00,A61B 6/032,A61B 6/501,A61B 6/5247,A61B 6/54,G06N 3/0427,G06N 3/08 | [
"A61B 6/00",
"A61B 5/055",
"G06N 3/08",
"G06N 3/04",
"A61B 6/03",
"G16H 50/20",
"G16H 30/40"
] | 150,883 |
411,132,552 | 2013-10-07 | 49,304,668 | Y | Provided are a driving simulator apparatus and a driver rehabilitation training method using the apparatus, the apparatus including: a display unit for displaying a preset simulation driving screen; a mode selecting unit via which a normal mode, an assist mode, or a resist mode is selected by a user; and a control unit for controlling to apply a driving force in a rotational direction of a steering wheel operated by a user when the assist mode is selected and to apply a reaction in an opposite direction to the rotational direction of the steering wheel operated by the user when the resist mode is selected. Accordingly, a driver with a degraded driving capability due to the aging or brain lesions may have effective driving rehabilitation training. In particular, besides the normal mode, the assist mode and the resist mode are added to conduct target tracking training to thereby improve visual-motor coordination of the user, thereby recovering the driving capability of a patient, which has degraded due to physical and cognitive damages. In addition, by configuring a program according to a state of a patient who needs driving rehabilitation, a recovery state of the patient according to continuous practicing may be estimated by comparing the same with an initial state of the patient. Also, the patient's fun or interests may be aroused so as to allow the patient to concentrate on practicing. | en | Driving simulator apparatus and method of driver rehabilitation training using the same | 49299478_KR | 55736125_KR,55704963_KR,55723886_KR,49409178_KR | G09B 5/06,G09B 9/04,G09B 9/05,G09B 9/052 | [
"G09B 9/052",
"G09B 9/05",
"G09B 9/04"
] | 82,638 |
527,117,616 | 2019-01-29 | 69,620,753 | Y | To accurately evaluate cognitive dysfunction and brain dysfunction.SOLUTION: An evaluation device includes: a display screen; a gazing point detection unit that detects the position of the gazing point of a subject who observes the display screen; a display control unit that performs display operations including a first display operation for displaying question information on the display screen, second display operation for displaying a guidance target on the display screen, and a third display operation for arranging and displaying a plurality of answer targets at a position that is not overlapped with the guidance position of the display screen after the second display operation; an area setting unit that sets a specific area corresponding to a specific target among the plurality of answer targets and a comparison area corresponding to a comparative target different from the specific target; a determination unit that determines whether or not the gazing point is in the specific area and the comparison area during a display period in which the third display operation is performed, based on the position of the gazing point; a calculation unit that calculates gazing point data in the display period, based on the determination result in the determination unit; and an evaluation unit that acquires the evaluation data of the subject, based on the gazing point data.SELECTED DRAWING: Figure 3 | en | EVALUATION DEVICE, EVALUATION METHOD, AND EVALUATION PROGRAM | 66613958_ | 63465027_ | A61B 3/0091,A61B 3/113,A61B 3/14,A61B 5/163,A61B 5/4088,A61B 5/7282,A61B 5/743,G09B 7/06,G09B 19/00,G09B 21/008,G16H 50/20,G16H 50/30 | [
"A61B 10/00",
"A61B 3/113"
] | 137,493 |
4,217,695 | 1985-01-08 | 24,289,689 | Y | REAL-TIME EEG SPECTRAL ANALYZER An electroencephelograph (EEG) signal analysis system automatically determines and displays, on a real-time basis, the frequency content of spontaneous EEG signals from the brain. The analog EEG signals from a plurality of channels are sampled and converted to digitized EEG waveforms during a continuing sequence of epochs of predetermined time duration. The digitized EEG waveform for each epoch and channel is transformed from the time domain to the frequency domain to produce a frequency spectrum representing amplitude of the EEG signal as a function of frequency The digital data is screened both prior and subsequent to the transformation to identify those epochs which contain artifacts. During each update period, the frequency spectra for each channel from the artifact-free epochs are averaged. The amplitudes of each averaged frequency spectrum for frequencies in each of four basic frequency bands are then summed. The result is an amplitude value for each of the four frequency bands at each channel. The four amplitude values are used to update a display which contains a graphical representation of the amplitude in each of the four bands in a different color. The amplitude values are also compared with previously recorded base line values, and an audible or visual warning indication is provided when predetermined variances from the base line values occur. | en | REAL-TIME EEG SPECTRAL ANALYZER | 11288057_ | 16116386_,16074567_ | A61B 5/374,A61B 5/742 | [
"G06F 17/00",
"A61B 5/0476",
"A61B 5/0452",
"A61B 5/04"
] | 3,578 |
572,736,452 | 2020-11-30 | 74,781,065 | N | A robot natural control method based on an electromyographic signal and an error electroencephalographic potential. The method mainly comprises the following steps: an experimenter executing four natural actions according to a prompt; collecting an electromyographic signal and IMU data, performing pre-processing, feature extraction and classifier classification on the data, and controlling, according to a classification result, a UR5 mechanical arm such that same executes a corresponding action on a target; and triggering and starting the acquisition of an electroencephalographic signal while controlling the UR5 mechanical arm, performing pre-processing, feature extraction and classifier classification on data, detecting whether an error potential is generated, if an error potential is generated, stopping the current action of the UR5 mechanical arm, otherwise, no interference being carried out. Compared with a traditional electromyographic signal control method, in the present method, electromyographic identification of a natural action is provided, an electromyographic signal and an IMU signal are also fused for data processing and classification identification, and an error correction mechanism during a robot control process is then improved by means of the identification of an error electroencephalographic potential, thereby improving the control efficiency and accuracy of a robot. | en | ROBOT NATURAL CONTROL METHOD BASED ON ELECTROMYOGRAPHIC SIGNAL AND ERROR ELECTROENCEPHALOGRAPHIC POTENTIAL | 63673205_CN | 67872635_CN,63953650_CN,63820266_CN,84720419_CN,63708030_CN,63576037_CN | B25J 9/1653,B25J 9/1661,B25J 13/08,G06F 3/015,G06F2203/011 | [
"B25J 9/16"
] | 166,084 |
501,632,803 | 2018-05-11 | 63,779,325 | Y | The invention discloses a learning emotion state recognition method based on multi-source information fusion. The learning emotion state recognition method based on the multi-source information fusionincludes the steps that facial expression images and interaction behavior data of learners are collected from an online learning platform, serial expression images within a certain time period are obtained according to an expression recognition algorithm, and then features are extracted and then classified; useful interaction behavior data pieces are extracted from a Web log file, and a subjective Bayes method is adopted to conduct uncertainty inference and deep data analysis. On the basis of judging concern degrees of the learners on current learning content, in combination with expression recognition results, online learning emotion states of the learners are judged are classified into a satisfaction state, a confusion state and the like. The learning emotion state recognition method based on the multi-source information fusion is applicable to teaching in disciplines which implement hybrid learning; through expression recognition, the online learning emotion states of the learnersare grasped, so that manual intervention is provided more specifically. According emotion recognition results, grasping conditions and interest of the learners on the current learning content can alsobe judged. | en | Learning emotion state recognition method based on multi-source information fusion | 58784886_ | 60214331_,60836118_,59386426_,58345063_,64936962_,60928569_,59423032_ | G06K 9/629,G06K 9/6293,G06V 40/168,G06V 40/172,G06V 40/174 | [
"G06K 9/62",
"G06K 9/00"
] | 121,634 |
50,535,697 | 1999-09-10 | 17,641,699 | Y | There is disclosed an X-ray computerized tomography apparatus capable of accurately and promptly carrying out a navigation of an operation, by real-time reconstructing and displaying an image of a slice in which an object such as an insertion object inside a subject exists. This X-ray computerized tomography apparatus is structured to include: an X-ray detection unit for detecting transmission X-rays from a plurality of directions Irradiated from an X-ray beam generation source and transmitted through a subject, a data acquisition unit for acquiring transmission data according to the transmission X-rays detected by the X-ray detection unit, an object position detection unit for detecting a position of an object inside the subject, according to a part of the transmission data, a reconstructing range determining unit for determining a slice to be image-reconstructed, according to the position detected by the object position detection unit, and an image reconstruction unit for reconstructing a tomographic image of a slice in which the object exists, according to a transmission data acquired by the data acquisition unit, the transmission data being acquired in the slice. Thus, the X-ray computerized tomography apparatus directly detects the position of the object from the acquired transmission data, and controls the image reconstruction, display or scanning, based on the detected position. | en | X-ray computerized tomography apparatus | 5231517_JP | 7917300_JP | A61B 6/032,A61B 6/12,A61B 6/4085,A61B 6/463 | [
"A61B 6/12",
"A61B 6/03"
] | 40,181 |
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