Assessing the Accuracy of Popular Commercial Technologies That Measure Resting Heart Rate and Heart Rate Variability
| Autor: | 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 |
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| Rok vydání: | 2020 |
| Předmět: |
lcsh:Sports
validation Measure (data warehouse) heart rate variability General Medicine 030229 sport sciences 030204 cardiovascular system & hematology root mean square of successive differences electrocardiogram RESTING HEART RATE lcsh:GV557-1198.995 03 medical and health sciences 0302 clinical medicine Concordance correlation coefficient Mean absolute percentage error wearables Extant taxon Sports and Active Living Heart rate Statistics heart rate Heart rate variability photoplethysmography Mathematics Original Research |
| Zdroj: | Frontiers in Sports and Active Living Frontiers in Sports and Active Living, Vol 3 (2021) |
| ISSN: | 2624-9367 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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