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...
Guardado en:
Autores principales: | , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/02b99d5ad127459fb9f207548d75cd8c |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:02b99d5ad127459fb9f207548d75cd8c |
---|---|
record_format |
dspace |
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 |
work_keys_str_mv |
AT aravindnatarajan assessmentofphysiologicalsignsassociatedwithcovid19measuredusingwearabledevices AT haoweisu assessmentofphysiologicalsignsassociatedwithcovid19measuredusingwearabledevices AT conorheneghan assessmentofphysiologicalsignsassociatedwithcovid19measuredusingwearabledevices |
_version_ |
1718391231267995648 |