Literature DB >> 33733234

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

Jason D Stone1, Hana K Ulman1,2, Kaylee Tran1,3, Andrew G Thompson1, Manuel D Halter1, Jad H Ramadan1, Mark Stephenson1,4, Victor S Finomore1, Scott M Galster1, Ali R Rezai1, Joshua A Hagen1.   

Abstract

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.
Copyright © 2021 Stone, Ulman, Tran, Thompson, Halter, Ramadan, Stephenson, Finomore, Galster, Rezai and Hagen.

Entities:  

Keywords:  electrocardiogram; heart rate; heart rate variability; photoplethysmography; root mean square of successive differences; validation; wearables

Year:  2021        PMID: 33733234      PMCID: PMC7956986          DOI: 10.3389/fspor.2021.585870

Source DB:  PubMed          Journal:  Front Sports Act Living        ISSN: 2624-9367


  56 in total

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Journal:  Cardiology       Date:  1999       Impact factor: 1.869

Review 2.  Heart rate monitoring: applications and limitations.

Authors:  Juul Achten; Asker E Jeukendrup
Journal:  Sports Med       Date:  2003       Impact factor: 11.136

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Authors:  Mika P Tarvainen; Juha-Pekka Niskanen; Jukka A Lipponen; Perttu O Ranta-Aho; Pasi A Karjalainen
Journal:  Comput Methods Programs Biomed       Date:  2013-08-06       Impact factor: 5.428

4.  A concordance correlation coefficient to evaluate reproducibility.

Authors:  L I Lin
Journal:  Biometrics       Date:  1989-03       Impact factor: 2.571

5.  Effect of Missing Inter-Beat Interval Data on Heart Rate Variability Analysis Using Wrist-Worn Wearables.

Authors:  Hyun Jae Baek; JaeWook Shin
Journal:  J Med Syst       Date:  2017-08-15       Impact factor: 4.460

6.  Wearable technologies for developing sleep and circadian biomarkers: a summary of workshop discussions.

Authors:  Christopher M Depner; Philip C Cheng; Jaime K Devine; Seema Khosla; Massimiliano de Zambotti; Rébecca Robillard; Andrew Vakulin; Sean P A Drummond
Journal:  Sleep       Date:  2020-02-13       Impact factor: 5.849

7.  Accuracy of Consumer Wearable Heart Rate Measurement During an Ecologically Valid 24-Hour Period: Intraindividual Validation Study.

Authors:  Benjamin W Nelson; Nicholas B Allen
Journal:  JMIR Mhealth Uhealth       Date:  2019-03-11       Impact factor: 4.773

8.  Heart Rate Measures From Wrist-Worn Activity Trackers in a Laboratory and Free-Living Setting: Validation Study.

Authors:  Andre Matthias Müller; Nan Xin Wang; Jiali Yao; Chuen Seng Tan; Ivan Cherh Chiet Low; Nicole Lim; Jeremy Tan; Agnes Tan; Falk Müller-Riemenschneider
Journal:  JMIR Mhealth Uhealth       Date:  2019-10-02       Impact factor: 4.773

9.  Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose With Multiple Video Cameras.

Authors:  Nobuyasu Nakano; Tetsuro Sakura; Kazuhiro Ueda; Leon Omura; Arata Kimura; Yoichi Iino; Senshi Fukashiro; Shinsuke Yoshioka
Journal:  Front Sports Act Living       Date:  2020-05-27

10.  Collection and Processing of Data from Wrist Wearable Devices in Heterogeneous and Multiple-User Scenarios.

Authors:  Francisco de Arriba-Pérez; Manuel Caeiro-Rodríguez; Juan M Santos-Gago
Journal:  Sensors (Basel)       Date:  2016-09-21       Impact factor: 3.576

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Journal:  Front Neurosci       Date:  2022-06-03       Impact factor: 5.152

2.  Validity of the Wrist-Worn Polar Vantage V2 to Measure Heart Rate and Heart Rate Variability at Rest.

Authors:  Olli-Pekka Nuuttila; Elisa Korhonen; Jari Laukkanen; Heikki Kyröläinen
Journal:  Sensors (Basel)       Date:  2021-12-26       Impact factor: 3.576

3.  What Is behind Changes in Resting Heart Rate and Heart Rate Variability? A Large-Scale Analysis of Longitudinal Measurements Acquired in Free-Living.

Authors:  Marco Altini; Daniel Plews
Journal:  Sensors (Basel)       Date:  2021-11-27       Impact factor: 3.576

4.  Technical, Regulatory, Economic, and Trust Issues Preventing Successful Integration of Sensors into the Mainstream Consumer Wearables Market.

Authors:  Jaime K Devine; Lindsay P Schwartz; Steven R Hursh
Journal:  Sensors (Basel)       Date:  2022-04-02       Impact factor: 3.576

5.  Full-Body Photobiomodulation Therapy Is Associated with Reduced Sleep Durations and Augmented Cardiorespiratory Indicators of Recovery.

Authors:  Lauren E Rentz; Randy W Bryner; Jad Ramadan; Ali Rezai; Scott M Galster
Journal:  Sports (Basel)       Date:  2022-07-31

Review 6.  The Apple Watch for Monitoring Mental Health-Related Physiological Symptoms: Literature Review.

Authors:  Gough Yumu Lui; Dervla Loughnane; Caitlin Polley; Titus Jayarathna; Paul P Breen
Journal:  JMIR Ment Health       Date:  2022-09-07

7.  Validity of the Polar H10 Sensor for Heart Rate Variability Analysis during Resting State and Incremental Exercise in Recreational Men and Women.

Authors:  Marcelle Schaffarczyk; Bruce Rogers; Rüdiger Reer; Thomas Gronwald
Journal:  Sensors (Basel)       Date:  2022-08-30       Impact factor: 3.847

8.  The Promise of Sleep: A Multi-Sensor Approach for Accurate Sleep Stage Detection Using the Oura Ring.

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Journal:  Sensors (Basel)       Date:  2021-06-23       Impact factor: 3.576

9.  Trends in Daily Heart Rate Variability Fluctuations Are Associated with Longitudinal Changes in Stress and Somatisation in Police Officers.

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Journal:  Healthcare (Basel)       Date:  2022-01-12
  9 in total

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