Python-based open source package for actigraphy data analysis
-
Updated
Sep 11, 2024 - Python
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
🏃♀️ Tools for actigraphy data analysis
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.
Detecting sleep in non-human primate actigraphy data
Supporting material for the paper ''Discrimination of sleep and wake periods from a hip-worn raw acceleration sensor using recurrent neural networks''
Predicting depression from daily gross motor activity
Source code for the paper "Automatic Actigraphy and Polysomnography Sleep Scoring using Deep Learning".
For actigraphy csv files downloaded from Philips devices. This STATA do file bulk imports, appends, and organizes variables from unlimited csv files to generate a clean file ready for analysis.
Add a description, image, and links to the actigraphy topic page so that developers can more easily learn about it.
To associate your repository with the actigraphy topic, visit your repo's landing page and select "manage topics."