Python-based open source package for actigraphy data analysis

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

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

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

Feature extraction from minute level actigraphy data

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

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

Detecting sleep in non-human primate actigraphy data

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

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

A webapp for annotating actigraphy data

Predicting depression from daily gross motor activity

A package specifically designed to process and analyze longitudinal actigraphy recordings affected by time shift due to travelling and local daylight saving practice.

This repository contains the thesis and supporting code for the Master’s thesis submitted by **Sashiel Vagus** to **San Diego State University** in Spring 2024, in partial fulfillment of the requirements for the degree **Master of Science in Applied Mathematics**, with a concentration in **Dynamical Systems**.

An Analysis on Depression using Actigraphy data

📓 Materials of the Study: Associations Between the Duration and Quality of Sleep in Third-Trimester Pregnant Women With the Duration of Labor