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

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.