Registration of 24-hour accelerometric rest-activity profiles and its application to human chronotypes.

ABSTRACT: By collecting data continuously over 24 hours, accelerometers and other wearable devices can provide novel insights into circadian rhythms and their relationship to human health. Existing approaches for analyzing diurnal patterns using these data, including the cosinor model and functional principal components analysis, have revealed and quantified population-level diurnal patterns, but considerable subject-level variability remained uncaptured in features such as wake/sleep times and activity intensity. This remaining informative variability could provide a better understanding of chronotypes, or behavioral manifestations of one's underlying 24-hour rhythm. Curve registration, or alignment, is a technique in functional data analysis that separates "vertical" variability in activity intens

SUBMITTER: McDonnell EI 

PROVIDER: S-EPMC9246189 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature