YominE/Muscle_Fatigue_Cycling
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… See the full description on the dataset page: https://huggingface.co/datasets/YominE/Muscle_Fatigue_Cycling.
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