Paradigma: A Toolbox for Identifying Digital Biomarkers in Parkinson’s Disease
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Paradigma is a Python package (see documentation) for processing wearable sensor data to identify digital biomarkers for Parkinson’s disease. It simplifies the analysis of gait and photoplethysmography (PPG) data using a unified Time Series Data Format (TSDF), helping researchers extract key PD biomarkers. Future updates will add tremor detection and more feature extraction tools.
Installation
The package is available in PyPi and requires Python 3.10 or higher. It can be installed using:
pip install paradigma
Usage
See our extended documentation.
Development
Installation
The package requires Python 3.10 or higher. Use Poetry to set up the environment and install the dependencies:
poetry install
Testing
poetry run pytest
Type checking
poetry run pytype .
Building documentation
poetry run make html --directory docs/
Contributing
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
License
paradigma was created by Peter Kok, Vedran Kasalica, Erik Post, Kars Veldkamp, Nienke Timmermans, Diogo Coutinho Soriano, Luc Evers. It is licensed under the terms of the Apache License 2.0 license.
Credits
paradigma was created with cookiecutter and the py-pkgs-cookiecutter template.
Example notebooks
TSDF schema