Real-Time EMG Monitoring and Fatigue Prediction
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AthleTrack is a MATLAB application designed for real-time acquisition, visualization, and analysis of electromyographic (EMG) signals. Its primary goal is to monitor muscle activity in athletes and predict fatigue using artificial intelligence algorithms and mathematical modeling.
Features
✅ Real-time acquisition of EMG signals.
✅ Dynamic visualization with interactive graphs.
✅ Data processing with advanced filtering and feature extraction.
✅ Fatigue prediction using machine learning models.
✅ Data export for further analysis.
Requirements
- MATLAB (compatible with Signal Processing Toolbox and Machine Learning Toolbox).
- A compatible EMG acquisition device (e.g., Myo, OpenBCI, etc.).
Contributions are welcome! 🚀
Cite As
Juan David (2026). FatigueTracker (https://www.mathworks.com/matlabcentral/fileexchange/180352-fatiguetracker), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (258 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
