Source code for the paper "Automatic Actigraphy and Polysomnography Sleep Scoring using Deep Learning".
-
Updated
Nov 8, 2023 - Python
Source code for the paper "Automatic Actigraphy and Polysomnography Sleep Scoring using Deep Learning".
The physical activity analysis toolbox (PAAT) is a comprehensive toolbox to analyse raw acceleration data.
🏃♀️ Tools for actigraphy data analysis
Supporting material for the paper ''Discrimination of sleep and wake periods from a hip-worn raw acceleration sensor using recurrent neural networks''
📓 Research compendium and Quarto book of the master's thesis: Associations between the duration and quality of sleep of pregnant women in the third trimester with the duration of labor.
R Package for Rest Activity Rhythm analysis
Detecting sleep in non-human primate actigraphy data
Predicting depression from daily gross motor activity
Feature extraction from minute level actigraphy data
Python package for the processing and analysis of Inertial Measurement Unit Data
Python-based open source package for actigraphy data analysis
Package for analyzing human motion data (e.g. PA, gait)
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."