A method for characterizing daily physiology from widely used wearables
Summary: 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 mea...
Main Authors: | Clark Bowman, Yitong Huang, Olivia J. Walch, Yu Fang, Elena Frank, Jonathan Tyler, Caleb Mayer, Christopher Stockbridge, Cathy Goldstein, Srijan Sen, Daniel B. Forger |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2021-08-01
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Series: | Cell Reports: Methods |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2667237521001065 |
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