A method for characterizing daily physiology from widely used wearables

Millions of wearable-device users record their heart rate (HR) and activity. We introduce a statistical method to extract and track six key physiological parameters from these data, including an underlying circadian rhythm in HR (CRHR), the direct effects of activity, and the effects of meals, postu...

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Detalles Bibliográficos
Autores principales: Bowman, Clark, Huang, Yitong, Walch, Olivia J., Fang, Yu, Frank, Elena, Tyler, Jonathan, Mayer, Caleb, Stockbridge, Christopher, Goldstein, Cathy, Sen, Srijan, Forger, Daniel B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8462795/
https://www.ncbi.nlm.nih.gov/pubmed/34568865
http://dx.doi.org/10.1016/j.crmeth.2021.100058

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8462795/
https://www.ncbi.nlm.nih.gov/pubmed/34568865
http://dx.doi.org/10.1016/j.crmeth.2021.100058

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