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...

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Bibliographic Details
Main Authors: S. Kusmakar, C. Karmakar, Y. Zhu, S. Shelyag, S. P. A. Drummond, J. G. Ellis, M. Angelova
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