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The future of sleep health: a data-driven revolution in sleep science and medicine
2020
npj Digital Medicine
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 multi-sensor data are being generated with potential applications ranging from large-scale epidemiological research linking sleep patterns to disease, to wellness applications, including the sleep coaching of
doi:10.1038/s41746-020-0244-4
pmid:32219183
pmcid:PMC7089984
fatcat:srzhls4bt5a6vk3yyr57sdmtta