Circadian Rhythm Analysis Using Wearable Device Data: Novel Penalized Machine Learning Approach

Circadian Rhythm Analysis Using Wearable Device Data: Novel Penalized Machine Learning Approach

BackgroundWearable devices have been widely used in clinical studies to study daily activity patterns, but the analysis remains a major obstacle for researchers. ObjectiveThis study proposes a novel method to characterize sleep-activity rhythms using actigraphy an...

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Bibliographic Details
Main Authors: Xinyue Li, Michael Kane, Yunting Zhang, Wanqi Sun, Yuanjin Song, Shumei Dong, Qingmin Lin, Qi Zhu, Fan Jiang, Hongyu Zhao
Format: Article
Language:English
Published: JMIR Publications 2021-10-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2021/10/e18403

Internet

https://www.jmir.org/2021/10/e18403

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