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

BACKGROUND: Wearable devices have been widely used in clinical studies to study daily activity patterns, but the analysis remains a major obstacle for researchers. OBJECTIVE: This study proposes a novel method to characterize sleep-activity rhythms using actigraphy and further use it to describe ear...

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Detalles Bibliográficos
Autores principales: Li, Xinyue, Kane, Michael, Zhang, Yunting, Sun, Wanqi, Song, Yuanjin, Dong, Shumei, Lin, Qingmin, Zhu, Qi, Jiang, Fan, Zhao, Hongyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554674/
https://www.ncbi.nlm.nih.gov/pubmed/34647895
http://dx.doi.org/10.2196/18403

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554674/
https://www.ncbi.nlm.nih.gov/pubmed/34647895
http://dx.doi.org/10.2196/18403

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