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Abstract:
Actigraphy provides a measure of the 24h rest-activity cycles based on movement counts, typically of the wrist. It is obtained using wearable devices and is a widely used, non-invasive way to determine sleep and circadian properties. Importantly, metrics derived from actigraphy are being increasingly used in clinical contexts, where groups of psychiatric and neurological patients in specific conditions have found to be exhibit abnormal rest-activity rhythms and sleep. Sleep and circadian parameters from actigraphy are derived measures. These are obtained by converting the movements counts (usually obtained at a resolution of 1 minutes) into sleep parameters and circadian metrics using algorithms raging from threshold-based computations to machine learning techniques. Unfortunately, at present, there are no standards or schemas for specifying and sharing actigraphy data and corresponding algorithms.
The goal of this project is to develop a common schema for the use, analysis, reporting and open and interoperable sharing of actigraphy data across different actigraphy devices produced by different commercial manufacturers and for use by researchers and research users. This project builds upon core research and technical expertise amongst the team members, and provides a framework to structure the work of the newly funded Chronobiology Data Standards Interest Group (CDSIG).
