There is a newer version of the record available.

Published January 22, 2025 | Version v0.4.2
Software Open

ParaDigMa - A toolbox for deriving Parkinson's disease Digital Markers from real-life wrist sensor data

Authors/Creators

  • 1. Radboud University, Nijmegen, Netherlands; Radboud University Medical Center, Nijmegen, Netherlands
  • 2. Radboud University Medical Center, Nijmegen, Netherlands
  • 3. Center for Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC (UFABC), Brazil
  • 4. Netherlands eScience Center
  • 5. ROR icon Imperial College London
  • 6. University of Oxford
  • 7. ROR icon Radboud University Medical Center
  • 8. ROR icon University of Birmingham
  • 9. ROR icon Aston University
  • 10. ROR icon University of Nottingham
  • 11. ROR icon Radboud University Nijmegen

Description

The Parkinsons disease Digital Markers (ParaDigMa) toolbox is a Python software package designed for analyzing real-life wrist sensor data to extract digital measures of motor and non-motor signs of Parkinson's disease (PD). 

Specifically, the toolbox is designed to process accelerometer, gyroscope and  photoplethysmography signals, collected during passive monitoring in daily life.  It contains three data processing pipelines: (1) arm swing during gait, (2) tremor,  and (3) pulse rate analysis. These pipelines are scientifically validated for their  use in persons with PD. Furthermore, the toolbox contains general functionalities for signal processing and feature extraction, such as filtering, peak detection, and  spectral analysis.

The toolbox is accompanied by a set of example scripts and notebooks for  each processing pipeline that demonstrate how to use the toolbox for extracting  digital measures. In addition, the toolbox is designed to be modular, enabling researchers to easily extend the toolbox with new algorithms and functionalities.

Notes

If you use this software, please cite it using the metadata from this file.

Files

biomarkersParkinson/paradigma-v0.4.0.zip

Files (20.2 MB)

Name Size Download all
md5:fb64995459ed67fd1ba9d03409d7162c
20.2 MB Preview Download

Additional details

Related works

Is supplement to
Software: https://github.com/biomarkersParkinson/paradigma/tree/v0.4.0 (URL)

Software

Repository URL
https://github.com/biomarkersParkinson/paradigma