Python-based open source package for actigraphy data analysis

Python package for the processing and analysis of Inertial Measurement Unit Data

Package for analyzing human motion data (e.g. PA, gait)

The world's first open-source bipolar & depression detector powered by your Apple Health data.

🏃‍♀️ Process, Visualize, and Analyze Actigraphy Data

R Package for Rest Activity Rhythm analysis

The physical activity analysis toolbox (PAAT) is a comprehensive toolbox to analyse raw acceleration data from the hip.

Feature extraction from minute level actigraphy data

A package designed to make easy to pre-process longitudinal actigraphy recordings, especially for the recordings affected by time shift due to daylight saving changes and or cross-continental travel.

Repository for ActiTect (general-purpose actigraphy analysis) and RBDisco (RBD prediction from wrist actigraphy).

A comprehensive Python library for processing and analyzing physiological sensor data

Supporting material for the paper ''Discrimination of sleep and wake periods from a hip-worn raw acceleration sensor using recurrent neural networks''

Python package for preprocessing, modeling, and analyzing actigraphy time series.

Detecting sleep in non-human primate actigraphy data

Source code for the paper "Automatic Actigraphy and Polysomnography Sleep Scoring using Deep Learning".

A webapp for annotating actigraphy data

ClockLab-like MATLAB toolbox for chronobiological analysis — actigraph processing, cosinor fitting, and rhythm metrics

Predicting depression from daily gross motor activity

Study Title: Insights from nine nights of self-applied, low-density sleep EEG during sleep restriction therapy: a proof-of-concept evaluation. Analysis of the RESTORE study: a pilot feasibility study of wearable technology in participants with insomnia and depression.

Identifying latent behavioral profiles associated with psychiatric conditions such as depressive inactivity, circadian rhythm disruption, and irregular activity patterns.