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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2021-03-01
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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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