Measurement of respiratory rate using wearable devices and applications to COVID-19 detection

Abstract We show that heart rate enabled wearable devices can be used to measure respiratory rate. Respiration modulates the heart rate creating excess power in the heart rate variability at a frequency equal to the respiratory rate, a phenomenon known as respiratory sinus arrhythmia. We isolate thi...

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Autores principales:	Aravind Natarajan, Hao-Wei Su, Conor Heneghan, Leanna Blunt, Corey O’Connor, Logan Niehaus
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/d61592f5821f47049b9f17578e0a9d5b
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spelling	oai:doaj.org-article:d61592f5821f47049b9f17578e0a9d5b2021-12-02T17:24:10ZMeasurement of respiratory rate using wearable devices and applications to COVID-19 detection10.1038/s41746-021-00493-62398-6352https://doaj.org/article/d61592f5821f47049b9f17578e0a9d5b2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41746-021-00493-6https://doaj.org/toc/2398-6352Abstract We show that heart rate enabled wearable devices can be used to measure respiratory rate. Respiration modulates the heart rate creating excess power in the heart rate variability at a frequency equal to the respiratory rate, a phenomenon known as respiratory sinus arrhythmia. We isolate this component from the power spectral density of the heart beat interval time series, and show that the respiratory rate thus estimated is in good agreement with a validation dataset acquired from sleep studies (root mean squared error = 0.648 min−1, mean absolute error = 0.46 min−1, mean absolute percentage error = 3%). We use this respiratory rate algorithm to illuminate two potential applications (a) understanding the distribution of nocturnal respiratory rate as a function of age and sex, and (b) examining changes in longitudinal nocturnal respiratory rate due to a respiratory infection such as COVID-19. 90% of respiratory rate values for healthy adults fall within the range 11.8−19.2 min−1 with a mean value of 15.4 min−1. Respiratory rate is shown to increase with nocturnal heart rate. It also varies with BMI, reaching a minimum at 25 kg/m2, and increasing for lower and higher BMI. The respiratory rate decreases slightly with age and is higher in females compared to males for age <50 years, with no difference between females and males thereafter. The 90% range for the coefficient of variation in a 14 day period for females (males) varies from 2.3–9.2% (2.3−9.5%) for ages 20−24 yr, to 2.5−16.8% (2.7−21.7%) for ages 65−69 yr. We show that respiratory rate is often elevated in subjects diagnosed with COVID-19. In a 7 day window from D −1 to D +5 (where D 0 is the date when symptoms first present, for symptomatic individuals, and the test date for asymptomatic cases), we find that 36.4% (23.7%) of symptomatic (asymptomatic) individuals had at least one measurement of respiratory rate 3 min−1 higher than the regular rate.Aravind NatarajanHao-Wei SuConor HeneghanLeanna BluntCorey O’ConnorLogan NiehausNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 4, Iss 1, Pp 1-10 (2021)
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 Leanna Blunt Corey O’Connor Logan Niehaus Measurement of respiratory rate using wearable devices and applications to COVID-19 detection
description	Abstract We show that heart rate enabled wearable devices can be used to measure respiratory rate. Respiration modulates the heart rate creating excess power in the heart rate variability at a frequency equal to the respiratory rate, a phenomenon known as respiratory sinus arrhythmia. We isolate this component from the power spectral density of the heart beat interval time series, and show that the respiratory rate thus estimated is in good agreement with a validation dataset acquired from sleep studies (root mean squared error = 0.648 min−1, mean absolute error = 0.46 min−1, mean absolute percentage error = 3%). We use this respiratory rate algorithm to illuminate two potential applications (a) understanding the distribution of nocturnal respiratory rate as a function of age and sex, and (b) examining changes in longitudinal nocturnal respiratory rate due to a respiratory infection such as COVID-19. 90% of respiratory rate values for healthy adults fall within the range 11.8−19.2 min−1 with a mean value of 15.4 min−1. Respiratory rate is shown to increase with nocturnal heart rate. It also varies with BMI, reaching a minimum at 25 kg/m2, and increasing for lower and higher BMI. The respiratory rate decreases slightly with age and is higher in females compared to males for age <50 years, with no difference between females and males thereafter. The 90% range for the coefficient of variation in a 14 day period for females (males) varies from 2.3–9.2% (2.3−9.5%) for ages 20−24 yr, to 2.5−16.8% (2.7−21.7%) for ages 65−69 yr. We show that respiratory rate is often elevated in subjects diagnosed with COVID-19. In a 7 day window from D −1 to D +5 (where D 0 is the date when symptoms first present, for symptomatic individuals, and the test date for asymptomatic cases), we find that 36.4% (23.7%) of symptomatic (asymptomatic) individuals had at least one measurement of respiratory rate 3 min−1 higher than the regular rate.
format	article
author	Aravind Natarajan Hao-Wei Su Conor Heneghan Leanna Blunt Corey O’Connor Logan Niehaus
author_facet	Aravind Natarajan Hao-Wei Su Conor Heneghan Leanna Blunt Corey O’Connor Logan Niehaus
author_sort	Aravind Natarajan
title	Measurement of respiratory rate using wearable devices and applications to COVID-19 detection
title_short	Measurement of respiratory rate using wearable devices and applications to COVID-19 detection
title_full	Measurement of respiratory rate using wearable devices and applications to COVID-19 detection
title_fullStr	Measurement of respiratory rate using wearable devices and applications to COVID-19 detection
title_full_unstemmed	Measurement of respiratory rate using wearable devices and applications to COVID-19 detection
title_sort	measurement of respiratory rate using wearable devices and applications to covid-19 detection
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d61592f5821f47049b9f17578e0a9d5b
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Measurement of respiratory rate using wearable devices and applications to COVID-19 detection

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