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Hidden Markov models for monitoring circadian rhythmicity in telemetric activity data

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Huang, Qi, Cohen, Dwayne, Komarzynski, Sandra, Li, Xiao-Mei, Innominato, Pasquale F., Lévi, Francis A. and Finkenstädt, Bärbel (2018) Hidden Markov models for monitoring circadian rhythmicity in telemetric activity data. Journal of The Royal Society Interface, 15 (139). doi:10.1098/rsif-2017-0885

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Official URL: https://doi.org/10.1098/rsif.2017.0885

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Abstract

Wearable computing devices allow collection of densely sampled real-time information on movement enabling researchers and medical experts to obtain objective and non-obtrusive records of actual activity of a subject in the real world over many days. Our interest here is motivated by the use of activity data for evaluating and monitoring the circadian rhythmicity of subjects for research in chronobiology and chronotherapeutic healthcare. In order to translate the information from such high-volume data arising we propose the use of a Markov modelling approach which (i) naturally captures the notable square wave form observed in activity data along with heterogeneous ultradian variances over the circadian cycle of human activity, (ii) thresholds activity into different states in a probabilistic way while respecting time dependence and (iii) gives rise to circadian rhythm parameter estimates, based on probabilities of transitions between rest and activity, that are interpretable and of interest to circadian research.

Item Type: Journal Article
Subjects: Q Science > QP Physiology
Divisions: Faculty of Science, Engineering and Medicine > Science > Statistics
Library of Congress Subject Headings (LCSH): Circadian rhythms -- Mathematical models, Markov processes
Journal or Publication Title: Journal of The Royal Society Interface
Publisher: The Royal Society Publishing
ISSN: 1742-5689
Official Date: February 2018
Dates:
DateEvent
February 2018Published
7 February 2018Available
11 January 2018Accepted
Volume: 15
Number: 139
DOI: 10.1098/rsif-2017-0885
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
MR/M013170/1[MRC] Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
UNSPECIFIEDConseil Régional, Île-de-Francehttp://dx.doi.org/10.13039/501100003990
UNSPECIFIEDConseil Régional Champagne Ardennehttp://dx.doi.org/10.13039/501100002334
11017951Fonds Unique Interministérielhttp://dx.doi.org/10.13039/501100003391
2014-BDCR-ECInstitut de recherche en santé publique [Institute of Public Health Research] (IReSP)UNSPECIFIED

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