ParaDigMa: a Python toolbox for extracting Parkinson's disease digital biomarkers from daily life wrist sensor data

Jupyter Notebook Python Submitted 20 August 2025Published 26 March 2026
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Editor: @Kevin-Mattheus-Moerman (all papers)
Reviewers: @ntolley (all reviews), @richrobe (all reviews), @Asanto32 (all reviews)

Authors

Erik Post (0000-0002-1937-9976), Kars I. Veldkamp (0009-0007-3498-3155), Nienke A. Timmermans (0009-0001-3814-3440), Diogo C. Soriano (0000-0002-9804-7477), Vedran Kasalica (0000-0002-0097-1056), Peter Kok (0000-0002-6630-7326), Hayriye Cagnan (0000-0002-1641-115X), Bastiaan R. Bloem (0000-0002-6371-3337), Max A. Little (0000-0002-1507-3822), Yordan P. Raykov (0000-0003-0753-717X), Twan van Laarhoven (0000-0001-7597-0579), Luc J.w. Evers (0000-0002-8241-5087)

Citation

Post et al., (2026). ParaDigMa: a Python toolbox for extracting Parkinson's disease digital biomarkers from daily life wrist sensor data. Journal of Open Source Software, 11(119), 9502, https://doi.org/10.21105/joss.09502

@article{Post2026, doi = {10.21105/joss.09502}, url = {https://doi.org/10.21105/joss.09502}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {119}, pages = {9502}, author = {Post, Erik and Veldkamp, Kars I. and Timmermans, Nienke A. and Soriano, Diogo C. and Kasalica, Vedran and Kok, Peter and Cagnan, Hayriye and Bloem, Bastiaan R. and Little, Max A. and Raykov, Yordan P. and van Laarhoven, Twan and Evers, Luc J.w.}, title = {ParaDigMa: a Python toolbox for extracting Parkinson's disease digital biomarkers from daily life wrist sensor data}, journal = {Journal of Open Source Software} }
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