The future of sleep health: a data-driven revolution in sleep science and medicine

The future of sleep health: a data-driven revolution in sleep science and medicine

<p>In recent years, there has been a significant expansion in the development and use of multi-modal sensors and technologies to monitor physical activity, sleep and circadian rhythms. These developments make accurate sleep monitoring at scale a possibility for the first time. Vast amounts of...

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Bibliographic Details
Main Author: Ignacio Perez-Pozuelo (14153007) (author)
Other Authors: Bing Zhai (157369) (author), Joao Palotti (8479842) (author), Raghvendra Mall (581171) (author), Michaël Aupetit (14153013) (author), Juan M. Garcia-Gomez (14153016) (author), Shahrad Taheri (57360) (author), Yu Guan (475656) (author), Luis Fernandez-Luque (3572423) (author)
Published: 2020
Subjects:
Health sciences
Health services and systems
Information and computing sciences
Machine learning
Biomedical engineering
Diagnostic markers
Predictive markers
Preventive medicine
Sleep
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