Predicting circadian phase across populations: a comparison of mathematical models and wearable devices.

ABSTRACT: From smart work scheduling to optimal drug timing, there is enormous potential in translating circadian rhythms research results for precision medicine in the real world. However, the pursuit of such effort requires the ability to accurately estimate circadian phase outside of the laboratory. One approach is to predict circadian phase noninvasively using light and activity measurements and mathematical models of the human circadian clock. Most mathematical models take light as an input and predict the effect of light on the human circadian system. However, consumer-grade wearables that are already owned by millions of individuals record activity instead of light, which prompts an evaluation of the accuracy of predicting circadian phase using motion alone. Here, we evaluate the ability of f

SUBMITTER: Huang Y 

PROVIDER: S-EPMC8503830 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature