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Time
float64
0
1.74k
Right Rectus femoris
float64
-0.84
0.99
Left Gluteus maximus
float64
-1.12
1.06
Left Gastrocnemius medialis
float64
-1.75
1.61
Left Semitendinosus
float64
-1.58
0.87
Left Biceps femoris caput longus
float64
-0.75
0.84
Right Vastus medialis
float64
-1.22
1.08
Right Tibialis anterior
float64
-1.3
1.34
Left Gastrocnemius lateralis
float64
-1.2
0.94
Target
int64
0
2
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This dataset was created with healthy participants aged between 18 and 25 years old. The participants in this dataset were not frequent athletes.

The dataset consists of 8 EMG signals recorded from the domineering foot of each participant during a cycling trial. The participants performed exercises on a conditioned cycle, alternating with short periods of high-intensity sprints. When a participant could no longer sustain the sprint intensity, this was considered the first index of fatigue and was labeled as "Transition-to-Fatigue." If the participant was unable to continue the base exercise, it was labeled as "Fatigue."

For this dataset, it is recommended to work with binary classification models, taking the "Transition-to-Fatigue" state as the positive class, as the data in the "Fatigue" class is significantly limited.

FEATURES

  • Time
  • Right Rectus femoris
  • Left Gluteus maximus
  • Left Gastrocnemius medialis
  • Left Semitendinosus
  • Left Biceps femoris caput longus
  • Right Vastus medialis
  • Right Tibialis anterior
  • Left Gastrocnemius lateralis

TARGETS

  • 0-No Fatigue
  • 1-Transition To Fatigue
  • 2-Fatigue

By: Yomin Jaramillo M

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