Assessing the Accuracy of Popular Commercial Technologies That Measure Resting Heart Rate and Heart Rate Variability

Commercial off-the shelf (COTS) wearable devices continue development at unprecedented rates. An unfortunate consequence of their rapid commercialization is the lack of independent, third-party accuracy verification for reported physiological metrics of interest, such as heart rate (HR) and heart ra...

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Main Authors: Jason D. Stone, Hana K. Ulman, Kaylee Tran, Andrew G. Thompson, Manuel D. Halter, Jad H. Ramadan, Mark Stephenson, Victor S. Finomore, Scott M. Galster, Ali R. Rezai, Joshua A. Hagen
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Sports and Active Living
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fspor.2021.585870/full
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spelling doaj-d59b87300e35405bba856079ad2a665b2021-03-01T04:46:04ZengFrontiers Media S.A.Frontiers in Sports and Active Living2624-93672021-03-01310.3389/fspor.2021.585870585870Assessing the Accuracy of Popular Commercial Technologies That Measure Resting Heart Rate and Heart Rate VariabilityJason D. Stone0Hana K. Ulman1Hana K. Ulman2Kaylee Tran3Kaylee Tran4Andrew G. Thompson5Manuel D. Halter6Jad H. Ramadan7Mark Stephenson8Mark Stephenson9Victor S. Finomore10Scott M. Galster11Ali R. Rezai12Joshua A. Hagen13Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, United StatesRockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, United StatesDepartment of Chemical and Biomedical Engineering, West Virginia University, Morgantown, WV, United StatesRockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, United StatesCollege of Arts and Sciences, Boston University, Boston, MA, United StatesRockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, United StatesRockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, United StatesRockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, United StatesRockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, United StatesNational Football League, Detroit Lions, Detroit, MI, United StatesRockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, United StatesRockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, United StatesRockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, United StatesRockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, United StatesCommercial off-the shelf (COTS) wearable devices continue development at unprecedented rates. An unfortunate consequence of their rapid commercialization is the lack of independent, third-party accuracy verification for reported physiological metrics of interest, such as heart rate (HR) and heart rate variability (HRV). To address these shortcomings, the present study examined the accuracy of seven COTS devices in assessing resting-state HR and root mean square of successive differences (rMSSD). Five healthy young adults generated 148 total trials, each of which compared COTS devices against a validation standard, multi-lead electrocardiogram (mECG). All devices accurately reported mean HR, according to absolute percent error summary statistics, although the highest mean absolute percent error (MAPE) was observed for CameraHRV (17.26%). The next highest MAPE for HR was nearly 15% less (HRV4Training, 2.34%). When measuring rMSSD, MAPE was again the highest for CameraHRV [112.36%, concordance correlation coefficient (CCC): 0.04], while the lowest MAPEs observed were from HRV4Training (4.10%; CCC: 0.98) and OURA (6.84%; CCC: 0.91). Our findings support extant literature that exposes varying degrees of veracity among COTS devices. To thoroughly address questionable claims from manufacturers, elucidate the accuracy of data parameters, and maximize the real-world applicative value of emerging devices, future research must continually evaluate COTS devices.https://www.frontiersin.org/articles/10.3389/fspor.2021.585870/fullwearablesroot mean square of successive differencesheart rate variabilityvalidationheart rateelectrocardiogram
collection DOAJ
language English
format Article
sources DOAJ
author Jason D. Stone
Hana K. Ulman
Hana K. Ulman
Kaylee Tran
Kaylee Tran
Andrew G. Thompson
Manuel D. Halter
Jad H. Ramadan
Mark Stephenson
Mark Stephenson
Victor S. Finomore
Scott M. Galster
Ali R. Rezai
Joshua A. Hagen
spellingShingle Jason D. Stone
Hana K. Ulman
Hana K. Ulman
Kaylee Tran
Kaylee Tran
Andrew G. Thompson
Manuel D. Halter
Jad H. Ramadan
Mark Stephenson
Mark Stephenson
Victor S. Finomore
Scott M. Galster
Ali R. Rezai
Joshua A. Hagen
Assessing the Accuracy of Popular Commercial Technologies That Measure Resting Heart Rate and Heart Rate Variability
Frontiers in Sports and Active Living
wearables
root mean square of successive differences
heart rate variability
validation
heart rate
electrocardiogram
author_facet Jason D. Stone
Hana K. Ulman
Hana K. Ulman
Kaylee Tran
Kaylee Tran
Andrew G. Thompson
Manuel D. Halter
Jad H. Ramadan
Mark Stephenson
Mark Stephenson
Victor S. Finomore
Scott M. Galster
Ali R. Rezai
Joshua A. Hagen
author_sort Jason D. Stone
title Assessing the Accuracy of Popular Commercial Technologies That Measure Resting Heart Rate and Heart Rate Variability
title_short Assessing the Accuracy of Popular Commercial Technologies That Measure Resting Heart Rate and Heart Rate Variability
title_full Assessing the Accuracy of Popular Commercial Technologies That Measure Resting Heart Rate and Heart Rate Variability
title_fullStr Assessing the Accuracy of Popular Commercial Technologies That Measure Resting Heart Rate and Heart Rate Variability
title_full_unstemmed Assessing the Accuracy of Popular Commercial Technologies That Measure Resting Heart Rate and Heart Rate Variability
title_sort assessing the accuracy of popular commercial technologies that measure resting heart rate and heart rate variability
publisher Frontiers Media S.A.
series Frontiers in Sports and Active Living
issn 2624-9367
publishDate 2021-03-01
description Commercial off-the shelf (COTS) wearable devices continue development at unprecedented rates. An unfortunate consequence of their rapid commercialization is the lack of independent, third-party accuracy verification for reported physiological metrics of interest, such as heart rate (HR) and heart rate variability (HRV). To address these shortcomings, the present study examined the accuracy of seven COTS devices in assessing resting-state HR and root mean square of successive differences (rMSSD). Five healthy young adults generated 148 total trials, each of which compared COTS devices against a validation standard, multi-lead electrocardiogram (mECG). All devices accurately reported mean HR, according to absolute percent error summary statistics, although the highest mean absolute percent error (MAPE) was observed for CameraHRV (17.26%). The next highest MAPE for HR was nearly 15% less (HRV4Training, 2.34%). When measuring rMSSD, MAPE was again the highest for CameraHRV [112.36%, concordance correlation coefficient (CCC): 0.04], while the lowest MAPEs observed were from HRV4Training (4.10%; CCC: 0.98) and OURA (6.84%; CCC: 0.91). Our findings support extant literature that exposes varying degrees of veracity among COTS devices. To thoroughly address questionable claims from manufacturers, elucidate the accuracy of data parameters, and maximize the real-world applicative value of emerging devices, future research must continually evaluate COTS devices.
topic wearables
root mean square of successive differences
heart rate variability
validation
heart rate
electrocardiogram
url https://www.frontiersin.org/articles/10.3389/fspor.2021.585870/full
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