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Predicting circadian misalignment with wearable technology: validation of wrist-worn actigraphy and photometry in night shift workers

STUDY OBJECTIVES: A critical barrier to successful treatment of circadian misalignment in shift workers is determining circadian phase in a clinical or field setting. Light and movement data collected passively from wrist actigraphy can generate predictions of circadian phase via mathematical models...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:Sleep
Hauptverfasser: Cheng, Philip, Walch, Olivia, Huang, Yitong, Mayer, Caleb, Sagong, Chaewon, Cuamatzi Castelan, Andrea, Burgess, Helen J, Roth, Thomas, Forger, Daniel B, Drake, Christopher L
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2020
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8240654/
https://ncbi.nlm.nih.gov/pubmed/32918087
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/sleep/zsaa180
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