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

ABSTRACT: 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 individuals with chronic conditions. However, in order to realise the full potential of these technologies for individuals, medicine and research, several significant challenges must be overcome. There are important outstanding questions regarding performance evaluation, as well as data storage, cur

SUBMITTER: Perez-Pozuelo I 

PROVIDER: S-EPMC7089984 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature