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

Key Points

• The central aim is to present a Python toolbox for extracting digital biomarkers related to Parkinson's disease from wrist sensor data.
• Developed a Python toolbox named ParaDigMa.
• Focused on extracting data from daily life wrist sensors.
• Utilized various algorithms for data processing.
• Successfully demonstrated the toolbox's capability in extracting relevant biomarkers.
• Showed potential for improving disease monitoring in everyday settings.