gaitmod
Python library for real-time gait modulation prediction using multimodal neural and movement data (LFP, EEG, IMU, EMG) — designed for closed-loop DBS systems in Parkinson’s disease.
Science Score: 26.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○DOI references
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○Academic publication links
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (15.5%) to scientific vocabulary
Keywords
Repository
Python library for real-time gait modulation prediction using multimodal neural and movement data (LFP, EEG, IMU, EMG) — designed for closed-loop DBS systems in Parkinson’s disease.
Basic Info
- Host: GitHub
- Owner: orabe
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://gaitmod.readthedocs.io
- Size: 216 MB
Statistics
- Stars: 3
- Watchers: 3
- Forks: 0
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
README.md
GaitMod
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
- Perform feature selection and statistical testing
- Train and evaluate machine learning models
- Visualize results
Table of Contents
Overview
This repository contains code and resources for studying gait modifications using data analysis and machine learning techniques.
Documentation
Comprehensive documentation is available at Read the Docs.
The latest release of gaitmod can be found on PyPI.
Installation
Clone the repository:
bash
git clone https://github.com/yourusername/gaitmod.git
cd gaitmod
Install dependencies:
bash
pip install -r requirements.txt
Usage
Run the main analysis script:
bash
python main.py
Refer to the documentation on Read the Docs for detailed usage instructions.
Project Structure
gaitmod/
├── data/
├── src/
├── results/
├── README.md
└── requirements.txt
Contributing
Contributions are welcome! Please open issues or submit pull requests.
License
This project is licensed under the MIT License.
Owner
- Name: Mohammad
- Login: orabe
- Kind: user
- Repositories: 1
- Profile: https://github.com/orabe
Citation (CITATION.cff)
GitHub Events
Total
- Release event: 3
- Watch event: 1
- Push event: 15
- Pull request event: 2
- Create event: 4
Last Year
- Release event: 3
- Watch event: 1
- Push event: 15
- Pull request event: 2
- Create event: 4
Packages
- Total packages: 1
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Total downloads:
- pypi 17 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
- Total maintainers: 1
pypi.org: gaitmod
real-time gait modulation prediction using multimodal neural and movement data (LFP, EEG, IMU, EMG) — designed for closed-loop DBS systems in Parkinson's diseas.
- Homepage: https://github.com/orabe/gaitmod
- Documentation: https://gaitmod.readthedocs.io/
- License: MIT License
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Latest release: 0.1.0
published 8 months ago