Trait-like nocturnal sleep behavior identified by combining wearable, phone-use, and self-report data

Using polysomnography over multiple weeks to characterize an individual’s habitual sleep behavior while accurate, is difficult to upscale. As an alternative, we integrated sleep measurements from a consumer sleep-tracker, smartphone-based ecological momentary assessment, and user-phone interactions...

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Detalles Bibliográficos
Autores principales: Massar, Stijn A. A., Chua, Xin Yu, Soon, Chun Siong, Ng, Alyssa S. C., Ong, Ju Lynn, Chee, Nicholas I. Y. N., Lee, Tih Shih, Ghosh, Arko, Chee, Michael W. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8172635/
https://www.ncbi.nlm.nih.gov/pubmed/34079043
http://dx.doi.org/10.1038/s41746-021-00466-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8172635/
https://www.ncbi.nlm.nih.gov/pubmed/34079043
http://dx.doi.org/10.1038/s41746-021-00466-9

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