A method for characterizing daily physiology from widely used wearables.


Journal

Cell reports methods
ISSN: 2667-2375
Titre abrégé: Cell Rep Methods
Pays: United States
ID NLM: 9918227360606676

Informations de publication

Date de publication:
23 08 2021
Historique:
entrez: 27 9 2021
pubmed: 28 9 2021
medline: 28 9 2021
Statut: ppublish

Résumé

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, posture, and stress through hormones like cortisol. We test our method on over 130,000 days of real-world data from medical interns on rotating shifts, showing that CRHR dynamics are distinct from those of sleep-wake or physical activity patterns and vary greatly among individuals. Our method also estimates a personalized phase-response curve of CRHR to activity for each individual, representing a passive and personalized determination of how human circadian timekeeping continually changes due to real-world stimuli. We implement our method in the "Social Rhythms" iPhone and Android app, which anonymously collects data from wearable-device users and provides analysis based on our method.

Identifiants

pubmed: 34568865
doi: 10.1016/j.crmeth.2021.100058
pmc: PMC8462795
mid: NIHMS1735386
pii:
doi:

Substances chimiques

Hydrocortisone WI4X0X7BPJ

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH101459
Pays : United States
Organisme : NHLBI NIH HHS
ID : T32 HL007622
Pays : United States

Commentaires et corrections

Type : CommentIn

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Auteurs

Clark Bowman (C)

Department of Mathematics and Statistics, Hamilton College, Clinton, NY, USA.

Yitong Huang (Y)

Department of Mathematics, Dartmouth College, Hanover, NH, USA.

Olivia J Walch (OJ)

Department of Neurology, University of Michigan, Ann Arbor, MI, USA.

Yu Fang (Y)

Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA.

Elena Frank (E)

Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA.

Jonathan Tyler (J)

Department of Mathematics, University of Michigan, Ann Arbor, MI, USA.

Caleb Mayer (C)

Department of Mathematics, University of Michigan, Ann Arbor, MI, USA.

Christopher Stockbridge (C)

LSA Technology Services, University of Michigan, Ann Arbor, MI, USA.

Cathy Goldstein (C)

Department of Neurology, University of Michigan, Ann Arbor, MI, USA.

Srijan Sen (S)

Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA.

Daniel B Forger (DB)

Department of Mathematics, University of Michigan, Ann Arbor, MI, USA.
Department of Computational Medicine and Bioinformatics, Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI, USA.
Lead contact.

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