Year: 2025
Type: article
Abstract: wristpy is an open-source Python package designed to streamline the processing and analysis of wrist-worn accelerometer data.The package has been developed in a modular framework to process actigraphy data from both GENEActiv and Actigraph watches, while supporting the extension for other wearable standards in the future, and is supported across multiple platforms (Windows, macOS, and Ubuntu).This software can be accessed and used through either a command-line interface (CLI) or as an importable Python module.The main processing pipeline will generate outputs in either a .csvor .parquetformat.The output contains timeseries data at a user-chosen temporal resolution, including: physical activity metrics, sleep status (including the sustained inactivity bouts (SIB) and the sleep period time (SPT) windows), non-wear period identification, and physical activity classification.
DOI: 10.21105/joss.08637
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4415634465