Assessment of physiological signs associated with COVID-19 measured using wearable devices

Abstract Respiration rate, heart rate, and heart rate variability (HRV) are some health metrics that are easily measured by consumer devices, which can potentially provide early signs of illness. Furthermore, mobile applications that accompany wearable devices can be used to collect relevant self-re...

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Autores principales: Aravind Natarajan, Hao-Wei Su, Conor Heneghan
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Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/02b99d5ad127459fb9f207548d75cd8c
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spelling oai:doaj.org-article:02b99d5ad127459fb9f207548d75cd8c2021-12-02T14:28:12ZAssessment of physiological signs associated with COVID-19 measured using wearable devices10.1038/s41746-020-00363-72398-6352https://doaj.org/article/02b99d5ad127459fb9f207548d75cd8c2020-11-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-00363-7https://doaj.org/toc/2398-6352Abstract Respiration rate, heart rate, and heart rate variability (HRV) are some health metrics that are easily measured by consumer devices, which can potentially provide early signs of illness. Furthermore, mobile applications that accompany wearable devices can be used to collect relevant self-reported symptoms and demographic data. This makes consumer devices a valuable tool in the fight against the COVID-19 pandemic. Data on 2745 subjects diagnosed with COVID-19 (active infection, PCR test) were collected from May 21 to September 11, 2020, consisting of PCR positive tests conducted between February 16 and September 9. Considering male (female) participants, 11.9% (11.2%) of the participants were asymptomatic, 48.3% (47.8%) recovered at home by themselves, 29.7% (33.7%) recovered at home with the help of someone else, 9.3% (6.6%) required hospitalization without ventilation, and 0.5% (0.4%) required ventilation. There were a total of 21 symptoms reported, and the prevalence of symptoms varies by sex. Fever was present in 59.4% of male subjects and in 52% of female subjects. Based on self-reported symptoms alone, we obtained an AUC of 0.82 ± 0.017 for the prediction of the need for hospitalization. Based on physiological signs, we obtained an AUC of 0.77 ± 0.018 for the prediction of illness on a specific day. Respiration rate and heart rate are typically elevated by illness, while HRV is decreased. Measuring these metrics, taken in conjunction with molecular-based diagnostics, may lead to better early detection and monitoring of COVID-19.Aravind NatarajanHao-Wei SuConor HeneghanNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 3, Iss 1, Pp 1-8 (2020)
institution DOAJ
collection DOAJ
language EN
topic Computer applications to medicine. Medical informatics
R858-859.7
spellingShingle Computer applications to medicine. Medical informatics
R858-859.7
Aravind Natarajan
Hao-Wei Su
Conor Heneghan
Assessment of physiological signs associated with COVID-19 measured using wearable devices
description Abstract Respiration rate, heart rate, and heart rate variability (HRV) are some health metrics that are easily measured by consumer devices, which can potentially provide early signs of illness. Furthermore, mobile applications that accompany wearable devices can be used to collect relevant self-reported symptoms and demographic data. This makes consumer devices a valuable tool in the fight against the COVID-19 pandemic. Data on 2745 subjects diagnosed with COVID-19 (active infection, PCR test) were collected from May 21 to September 11, 2020, consisting of PCR positive tests conducted between February 16 and September 9. Considering male (female) participants, 11.9% (11.2%) of the participants were asymptomatic, 48.3% (47.8%) recovered at home by themselves, 29.7% (33.7%) recovered at home with the help of someone else, 9.3% (6.6%) required hospitalization without ventilation, and 0.5% (0.4%) required ventilation. There were a total of 21 symptoms reported, and the prevalence of symptoms varies by sex. Fever was present in 59.4% of male subjects and in 52% of female subjects. Based on self-reported symptoms alone, we obtained an AUC of 0.82 ± 0.017 for the prediction of the need for hospitalization. Based on physiological signs, we obtained an AUC of 0.77 ± 0.018 for the prediction of illness on a specific day. Respiration rate and heart rate are typically elevated by illness, while HRV is decreased. Measuring these metrics, taken in conjunction with molecular-based diagnostics, may lead to better early detection and monitoring of COVID-19.
format article
author Aravind Natarajan
Hao-Wei Su
Conor Heneghan
author_facet Aravind Natarajan
Hao-Wei Su
Conor Heneghan
author_sort Aravind Natarajan
title Assessment of physiological signs associated with COVID-19 measured using wearable devices
title_short Assessment of physiological signs associated with COVID-19 measured using wearable devices
title_full Assessment of physiological signs associated with COVID-19 measured using wearable devices
title_fullStr Assessment of physiological signs associated with COVID-19 measured using wearable devices
title_full_unstemmed Assessment of physiological signs associated with COVID-19 measured using wearable devices
title_sort assessment of physiological signs associated with covid-19 measured using wearable devices
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/02b99d5ad127459fb9f207548d75cd8c
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