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

Abstract 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 inte...

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Auteurs principaux: Stijn A. A. Massar, Xin Yu Chua, Chun Siong Soon, Alyssa S. C. Ng, Ju Lynn Ong, Nicholas I. Y. N. Chee, Tih Shih Lee, Arko Ghosh, Michael W. L. Chee
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/891f6cd7ee184cd4817021da7c0ac051
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