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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Nature Portfolio
2020
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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) |
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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 |
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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 AT sarahmfisher feasibilityofcontinuousfevermonitoringusingwearabledevices AT anoushkachowdhary feasibilityofcontinuousfevermonitoringusingwearabledevices AT stephandilchert feasibilityofcontinuousfevermonitoringusingwearabledevices AT karenapuldon feasibilityofcontinuousfevermonitoringusingwearabledevices AT adamrao feasibilityofcontinuousfevermonitoringusingwearabledevices AT frederickmhecht feasibilityofcontinuousfevermonitoringusingwearabledevices AT ashleyemason feasibilityofcontinuousfevermonitoringusingwearabledevices |
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