A machine learning model for multi-night actigraphic detection of chronic insomnia: development and validation of a pre-screening tool
We propose a novel machine learning-based method for analysing multi-night actigraphy signals to objectively classify and differentiate nocturnal awakenings in individuals with chronic insomnia (CI) and their cohabiting healthy partners. We analysed nocturnal actigraphy signals from 40 cohabiting co...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
The Royal Society
2021-06-01
|
Series: | Royal Society Open Science |
Subjects: | |
Online Access: | https://royalsocietypublishing.org/doi/10.1098/rsos.202264 |