|
--- |
|
license: cc-by-4.0 |
|
language: |
|
- en |
|
- es |
|
tags: |
|
- fatigue |
|
- muscle |
|
- EMG |
|
- Cycling |
|
- Biomedical |
|
- time-series |
|
pretty_name: Muscle Fatigue in Cyclist |
|
task_categories: |
|
- time-series-forecasting |
|
--- |
|
|
|
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 |
