Article

Digital phenotyping by consumer wearables identifies sleep-associated markers of cardiovascular disease risk and biological aging

2019-01-26

Abstract excerpt

Despite growing adoption of consumer wearables, the potential for sleep metrics from these devices to contribute to sleep-related biomedical research remains largely uncharacterized. Here we analyze sleep tracking data, along with questionnaire responses and multi-modal phenotypic data, generated from 482 normal volunteers. First, we provide a detailed comparison of wearable-derived and self-reported sleep metrics...

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Literature Corpus work: 72f5829f-a3f0-5dd3-824f-1255674e1bb2
DOI: 10.1101/527077

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