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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
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 |
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