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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Detalles Bibliográficos
Autores principales: Kusmakar, S., Karmakar, C., Zhu, Y., Shelyag, S., Drummond, S. P. A., Ellis, J. G., Angelova, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Computer Science and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206690/
https://www.ncbi.nlm.nih.gov/pubmed/34150313
http://dx.doi.org/10.1098/rsos.202264

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206690/
https://www.ncbi.nlm.nih.gov/pubmed/34150313
http://dx.doi.org/10.1098/rsos.202264

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