Feasibility of continuous fever monitoring using wearable devices

Abstract Elevated core temperature constitutes an important biomarker for COVID-19 infection; however, no standards currently exist to monitor fever using wearable peripheral temperature sensors. Evidence that sensors could be used to develop fever monitoring capabilities would enable large-scale he...

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Autores principales: Benjamin L. Smarr, Kirstin Aschbacher, Sarah M. Fisher, Anoushka Chowdhary, Stephan Dilchert, Karena Puldon, Adam Rao, Frederick M. Hecht, Ashley E. Mason
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Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/c15911431d0a4bc197481bc689891c60
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spelling oai:doaj.org-article:c15911431d0a4bc197481bc689891c602021-12-02T13:33:59ZFeasibility of continuous fever monitoring using wearable devices10.1038/s41598-020-78355-62045-2322https://doaj.org/article/c15911431d0a4bc197481bc689891c602020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-78355-6https://doaj.org/toc/2045-2322Abstract Elevated core temperature constitutes an important biomarker for COVID-19 infection; however, no standards currently exist to monitor fever using wearable peripheral temperature sensors. Evidence that sensors could be used to develop fever monitoring capabilities would enable large-scale health-monitoring research and provide high-temporal resolution data on fever responses across heterogeneous populations. We launched the TemPredict study in March of 2020 to capture continuous physiological data, including peripheral temperature, from a commercially available wearable device during the novel coronavirus pandemic. We coupled these data with symptom reports and COVID-19 diagnosis data. Here we report findings from the first 50 subjects who reported COVID-19 infections. These cases provide the first evidence that illness-associated elevations in peripheral temperature are observable using wearable devices and correlate with self-reported fever. Our analyses support the hypothesis that wearable sensors can detect illnesses in the absence of symptom recognition. Finally, these data support the hypothesis that prediction of illness onset is possible using continuously generated physiological data collected by wearable sensors. Our findings should encourage further research into the role of wearable sensors in public health efforts aimed at illness detection, and underscore the importance of integrating temperature sensors into commercially available wearables.Benjamin L. SmarrKirstin AschbacherSarah M. FisherAnoushka ChowdharyStephan DilchertKarena PuldonAdam RaoFrederick M. HechtAshley E. MasonNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Benjamin L. Smarr
Kirstin Aschbacher
Sarah M. Fisher
Anoushka Chowdhary
Stephan Dilchert
Karena Puldon
Adam Rao
Frederick M. Hecht
Ashley E. Mason
Feasibility of continuous fever monitoring using wearable devices
description Abstract Elevated core temperature constitutes an important biomarker for COVID-19 infection; however, no standards currently exist to monitor fever using wearable peripheral temperature sensors. Evidence that sensors could be used to develop fever monitoring capabilities would enable large-scale health-monitoring research and provide high-temporal resolution data on fever responses across heterogeneous populations. We launched the TemPredict study in March of 2020 to capture continuous physiological data, including peripheral temperature, from a commercially available wearable device during the novel coronavirus pandemic. We coupled these data with symptom reports and COVID-19 diagnosis data. Here we report findings from the first 50 subjects who reported COVID-19 infections. These cases provide the first evidence that illness-associated elevations in peripheral temperature are observable using wearable devices and correlate with self-reported fever. Our analyses support the hypothesis that wearable sensors can detect illnesses in the absence of symptom recognition. Finally, these data support the hypothesis that prediction of illness onset is possible using continuously generated physiological data collected by wearable sensors. Our findings should encourage further research into the role of wearable sensors in public health efforts aimed at illness detection, and underscore the importance of integrating temperature sensors into commercially available wearables.
format article
author Benjamin L. Smarr
Kirstin Aschbacher
Sarah M. Fisher
Anoushka Chowdhary
Stephan Dilchert
Karena Puldon
Adam Rao
Frederick M. Hecht
Ashley E. Mason
author_facet Benjamin L. Smarr
Kirstin Aschbacher
Sarah M. Fisher
Anoushka Chowdhary
Stephan Dilchert
Karena Puldon
Adam Rao
Frederick M. Hecht
Ashley E. Mason
author_sort Benjamin L. Smarr
title Feasibility of continuous fever monitoring using wearable devices
title_short Feasibility of continuous fever monitoring using wearable devices
title_full Feasibility of continuous fever monitoring using wearable devices
title_fullStr Feasibility of continuous fever monitoring using wearable devices
title_full_unstemmed Feasibility of continuous fever monitoring using wearable devices
title_sort feasibility of continuous fever monitoring using wearable devices
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/c15911431d0a4bc197481bc689891c60
work_keys_str_mv AT benjaminlsmarr feasibilityofcontinuousfevermonitoringusingwearabledevices
AT kirstinaschbacher feasibilityofcontinuousfevermonitoringusingwearabledevices
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