actigraphy

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

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

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

A comprehensive Python library for processing and analyzing physiological sensor data

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.

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

A webapp for annotating actigraphy data

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

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

Production-grade stealth market intelligence framework driven by bio-entropic actigraphy and Bézier cursor dynamics to bypass advanced behavioral anti-bot systems.

Predicting depression from daily gross motor activity

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