The Parkinson's disease Digital Markers (ParaDigMa) toolbox is a Python software package designed for processing and 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.

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