FatigueTracker

Real-Time EMG Monitoring and Fatigue Prediction

https://github.com/Juanraw/FatigueTrack.git

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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

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0.0