gaitmod documentation
gaitmod is a Python library for processing, analyzing, and modeling multi-modal neural and movement data, including LFP, EEG, EMG, and IMU signals. It focuses on real-time gait modulation prediction in Parkinson’s disease and supports customizable deep learning pipelines.
It provides tools to:
Preprocess and clean multi-modal data
Extract and select features from neural and movement signals
Train and evaluate machine learning models
Visualize results and model performance
This documentation provides installation instructions, usage examples, and a detailed API reference.
Documentation