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Variable Accuracy of Wearable Heart Rate Monitors during Aerobic Exercise
Abstract
PURPOSE: Athletes and members of the public increasingly rely on wearable HR monitors to guide physical activity and training. The accuracy of newer, optically based monitors is unconfirmed. We sought to assess the accuracy of five optically based HR monitors during various types of aerobic exercise. METHODS: Fifty healthy adult volunteers (mean ± SD age = 38 ± 12 yr, 54% female) completed exercise protocols on a treadmill, a stationary bicycle, and an elliptical trainer (±arm movement). Each participant underwent HR monitoring with an electrocardiogaphic chest strap monitor (Polar H7), forearm monitor (Scosche Rhythm+), and two randomly assigned wrist-worn HR monitors (Apple Watch, Fitbit Blaze, Garmin Forerunner 235, and TomTom Spark Cardio), one on each wrist. For each exercise type, HR was recorded at rest, light, moderate, and vigorous intensity. Agreement between HR measurements was assessed using Lin's concordance correlation coefficient (rc). RESULTS: Across all exercise conditions, the chest strap monitor (Polar H7) had the best agreement with ECG (rc = 0.996) followed by the Apple Watch (rc = 0.92), the TomTom Spark (rc = 0.83), and the Garmin Forerunner (rc = 0.81). Scosche Rhythm+ and Fitbit Blaze were less accurate (rc = 0.75 and rc = 0.67, respectively). On treadmill, all devices performed well (rc = 0.88-0.93) except the Fitbit Blaze (rc = 0.76). While bicycling, only the Garmin, Apple Watch, and Scosche Rhythm+ had acceptable agreement (rc > 0.80). On the elliptical trainer without arm levers, only the Apple Watch was accurate (rc = 0.94). None of the devices was accurate during elliptical trainer use with arm levers (all rc < 0.80). CONCLUSION: The accuracy of wearable, optically based HR monitors varies with exercise type and is greatest on the treadmill and lowest on elliptical trainer. Electrode-containing chest monitors should be used when accurate HR measurement is imperative.
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“other studies have used suboptimal reference methods, such as the chest straps45–47 or pulse oximeters48, which themselves have a degree of error (varying between 0 and 40 bpm when compared to ECGs44).”
From Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research (2020) · cites this paper as [46]
In the citing paper
“two related factors identified as influencing wearable HR accuracy are motion artifacts23 and level of physical activity46.”
From Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research (2020) · cites this paper as [46]
Citations
Cites
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
Beckett, A. H., Rowland, M., & TURNER, P. (1965) · The Lancet · doi:10.1016/s0140-6736(65)91037-8 · Cited by 16,917
A concordance correlation coefficient to evaluate reproducibility.
Lin, L. I.-K. (1989) · Biometrics · doi:10.2307/2532051 · Cited by 8,785
Wearable Devices as Facilitators, Not Drivers, of Health Behavior Change
Patel, M. S., Asch, D. A., & Volpp, K. G. (2015) · JAMA · doi:10.1001/jama.2014.14781 · Cited by 808
Swan, M. (2009) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph6020492 · Cited by 730
Accuracy of Smartphone Applications and Wearable Devices for Tracking Physical Activity Data
Case, M. A., Burwick, H. A., Volpp, K. G., & Patel, M. S. (2015) · JAMA · doi:10.1001/jama.2014.17841 · Cited by 694
Fitbit®: An accurate and reliable device for wireless physical activity tracking
Diaz, K. M., Krupka, D. J., Chang, M. J., Peacock, J., Ma, Y., Goldsmith, J., Schwartz, J. E., & Davidson, K. W. (2015) · International Journal of Cardiology · doi:10.1016/j.ijcard.2015.03.038 · Cited by 405
Validity of Consumer-Based Physical Activity Monitors
LEE, J.-M., KIM, Y., & WELK, G. J. (2014) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000287 · Cited by 401
Accuracy of wrist-worn heart rate monitors
Wang, R., Blackburn, G., Desai, M., Phelan, D., Gillinov, L., Houghtaling, P., & Gillinov, M. (2017) · JAMA Cardiology · doi:10.1001/jamacardio.2016.3340 · Cited by 386
Self-citationEl-Amrawy, F., & Nounou, M. I. (2015) · Healthcare Informatics Research · doi:10.4258/hir.2015.21.4.315 · Cited by 287
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Orchard, J. J., Orchard, J. W., Raju, H., Gerche, A. L., Puranik, R., & Semsarian, C. (2021) · Journal of Electrocardiology · doi:10.1016/j.jelectrocard.2021.03.008 · Cited by 23
Miao, F., Wu, D., Liu, Z.-D., Zhang, R., Tang, M., & Li, Y. (2022) · Chinese Medical Journal · doi:10.1097/cm9.0000000000002117 · Cited by 30
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Bădău, D., & Bădău, A. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15122614 · Cited by 23
Improving Heart Rate Estimation on Consumer Grade Wrist-Worn Device Using Post-Calibration Approach
Choksatchawathi, T., Ponglertnapakorn, P., Ditthapron, A., Leelaarporn, P., Wisutthisen, T., Piriyajitakonkij, M., & Wilaiprasitporn, T. (2020) · IEEE Sensors Journal · doi:10.1109/jsen.2020.2979191 · Cited by 25
Wearable-basierte Detektion von Arrhythmien
Veltmann, C., Ehrlich, J. R., Gassner, U. M., Meder, B., Möckel, M. M., Radke, P. W., Scholz, E., Schneider, H., Stellbrink, C., & Duncker, D. (2021) · Der Kardiologe · doi:10.1007/s12181-021-00488-3 · Cited by 23
Jiao, Y., Sun, Z., Fu, L., Yu, X., Jiang, C., Zhang, X., Liu, K., & Chen, X. (2022) · International Journal of Rail Transportation · doi:10.1080/23248378.2022.2086638 · Cited by 22
Single Subject (N-of-1) Research Design, Data Processing, and Personal Science
de Groot, M., Drangsholt, M. T., Martin-Sanchez, F. J., & Wolf, G. (2017) · Methods of Information in Medicine · doi:10.3414/me17-03-0001 · Cited by 22
Wearable Technologies in Sportswear
Memarian, F., Rahmani, S., Yousefzadeh, M., & Latifi, M. (2019) · Elsevier eBooks · doi:10.1016/b978-0-08-102582-6.00004-6 · Cited by 22
REVISITING HEART RATE TARGET ZONES THROUGH THE LENS OF WEARABLE TECHNOLOGY
Scheid, J. L., & O’Donnell, E. (2019) · ACSMʼs Health & Fitness Journal · doi:10.1249/fit.0000000000000477 · Cited by 23
Alfonso, C., Garcia-Gonzalez, M. A., Parrado, E., Gil-Rojas, J., Ramos-Castro, J. J., & Capdevila, L. (2022) · Scientific Reports · doi:10.1038/s41598-022-18356-9 · Cited by 26
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Villani, V., Gabbi, M., & Sabattini, L. (2022) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc53654.2022.9945324 · Cited by 22
Gambassi, B. B., Neves, V. R., de Brito, E. Z. A., Fernandes, D. S. D. S., Sá, C. A., Nogueira, R. M. D. R., Almeida, F. D. J. F., Cavalcanti, P. A. D. A., Silva, D. C. G. G. E., Neto, D. S., et al. (2020) · PubMed Central · Cited by 19
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Hung, S. H., Serwa, K., Rosenthal, G., & Eng, J. J. (2025) · PLOS ONE · doi:10.1371/journal.pone.0318724 · Cited by 21
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Støve, M. P., & Hansen, E. C. K. (2022) · Journal of Sports Sciences · doi:10.1080/02640414.2023.2180160 · Cited by 19
Hänsel, K., Poguntke, R., Haddadi, H., Alomainy, A., & Schmidt, A. (2018) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173719 · Cited by 19
Reverberi, C., Rabia, G., Rosa, F. D., Bosi, D., Botti, A., & Benatti, G. (2019) · BioMed Research International · doi:10.1155/2019/4861951 · Cited by 19
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Shumate, T., Link, M., Furness, J. W., Kemp‐Smith, K., Simas, V., & Climstein, M. (2021) · PeerJ · doi:10.7717/peerj.10893 · Cited by 19
Accuracy of wrist-worn wearable devices for determining exercise intensity
Ho, W.-T., Yang, Y.-J., & Li, T.-C. (2022) · Digital Health · doi:10.1177/20552076221124393 · Cited by 19
Pardini, S., Gabrielli, S., Olivetto, S., Fusina, F., Dianti, M., Forti, S., Lancini, C., & Novara, C. (2023) · JMIR Research Protocols · doi:10.2196/44183 · Cited by 21
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Bunn, J. A., Wells, E. K., Manor, J., & Webster, M. J. (2019) · International journal of exercise science · doi:10.70252/loox1045 · Cited by 18
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Weinstock, C., Wagner, H., Snuckel, M., & Katz, M. (2020) · Medical Clinics of North America · doi:10.1016/j.mcna.2020.09.004 · Cited by 19
Tully, J. L., Dameff, C. J., & Longhurst, C. (2020) · Clinics in Laboratory Medicine · doi:10.1016/j.cll.2019.11.004 · Cited by 20
Ibrahim, N. S., Rampal, S., Lee, W. L., Pek, E. W., & Suhaimi, A. (2023) · Cardiovascular Engineering and Technology · doi:10.1007/s13239-023-00693-z · Cited by 16
Congruent Accuracy of Wrist-worn Activity Trackers during Controlled and Free-living Conditions
Dondzila, C. J., Lewis, C., Lopez, J. R., & Parker, T. (2018) · International Journal of Exercise Science · doi:10.70252/ubbt6886 · Cited by 16
“An accurate tool to assess exercise heart rate (11), a Polar heart rate monitor (T31, Polar Electro Oy, Kempele, Finland) was worn around the chest of the participant with direct contact to the skin, transmitting data to the FT1 monitor to record heart rate data as a criterion measure during the treadmill protocol.”
MethodAccuracy of Heart Rate and Respiratory Rate Measurements Using Two Types of Wearable Devices
Takahashi, Y., Okura, K., Minakata, S., Watanabe, M., Hatakeyama, K., Chida, S., Saito, K., Matsunaga, T., & Shimada, Y. (2022) · Progress in Rehabilitation Medicine · doi:10.2490/prm.20220016 · Cited by 16
Bonomi, A., Eerik�inen, L. M., Schipper, F., Aarts, R. M., de Morree, H. M., & Dekker, L. (2017) · Computing in cardiology · doi:10.22489/cinc.2017.271-329 · Cited by 16
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Lambe, R., Baldwin, M., O’Grady, B., Schumann, M., Caulfield, B., & Doherty, C. (2026) · npj Digital Medicine · doi:10.1038/s41746-025-02238-1 · Cited by 17
Lindsey, B., Hanley, C. L., Reider, L. M., Snyder, S., Zhou, Y., Bell, E. M., Shim, J. K., Hahn, J.-O., Vignos, M. F., & Bar-Kochba, E. (2023) · BMJ Military Health · doi:10.1136/military-2023-002541 · Cited by 15
Accuracy of Wearable Devices for Measuring Heart Rate During Conventional and Nordic Walking
Baek, S., Ha, Y., & Park, H. (2020) · PM&R · doi:10.1002/pmrj.12424 · Cited by 14
Jagim, A. R., Koch-Gallup, N., Camic, C. L., KROENING, L., Nolte, C., SCHROEDER, C., Gran, L., & Erickson, J. L. (2021) · The Journal of Sports Medicine and Physical Fitness · doi:10.23736/s0022-4707.20.11151-4 · Cited by 16
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Kim, C., Kim, S. H., & Suh, M. R. (2022) · Annals of Rehabilitation Medicine · doi:10.5535/arm.22050 · Cited by 16
Khushhal, A. A., Abdelaal, A. A. M., & Elsayed, M. (2024) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s449071 · Cited by 14
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Yu, H., Kotlyar, M., Dufresne, S. R., THURAS, P. D., & Pakhomov, S. (2022) · Pacific Symposium on Biocomputing (PSB) · doi:10.1142/9789811270611_0005 · Cited by 12
Ceugniez, M., Devanne, H., & Hermand, É. (2024) · JMIR mhealth and uhealth · doi:10.2196/54871 · Cited by 13
Namazi, A., Modiri, E., Blesić, S., Knežević, O. M., & Mirkov, D. M. (2025) · Sports · doi:10.3390/sports13030087 · Cited by 14
Støve, M. P., Holm, R. S., Kjaersgaard, A. S., Duncker, K., Jensen, M. R., & Larsen, B. T. (2020) · Journal of Medical Engineering & Technology · doi:10.1080/03091902.2020.1753836 · Cited by 12
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Charlot, K., Chapelot, D., Siracusa, J., Lavoué, C., Colin, P., Oustric, P., Thivel, D., Finlayson, G., & Bourrilhon, C. (2021) · Physiological Reports · doi:10.14814/phy2.14591 · Cited by 11
Guard, A. N., McMillan, K., & MacFarlane, N. G. (2021) · International Journal of Sports Science & Coaching · doi:10.1177/17479541211056399 · Cited by 11
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Shen, Q., Li, J., Cui, C., Wang, X., Gao, H., Liu, C., & Chen, M. (2020) · Journal of Biomedical Research · doi:10.7555/jbr.34.20200074 · Cited by 11
Mestrom, E. H. J., Deneer, R., Bonomi, A., Margarito, J., Gelissen, J., Haakma, R., Korsten, H. H. M., Scharnhorst, V., & Bouwman, R. A. (2021) · JMIR Cardio · doi:10.2196/27765 · Cited by 10
Støve, M. P., Graversen, A. H., & Sørensen, J. (2023) · Respiratory Care · doi:10.4187/respcare.10760 · Cited by 10
Montes, J., Tandy, R. D., Young, J., Lee, S., & Navalta, J. W. (2019) · International Journal of Kinesiology and Sports Science · doi:10.7575/aiac.ijkss.v.7n.2p.30 · Cited by 10
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Mizera, L., Rath, D., Schöllmann, A., Petersen-Uribe, Á., Avdiu, A., Zdanytė, M., Jaeger, P., Heinzmann, D., Müller, K., Gawaz, M., et al. (2021) · Heart & Lung · doi:10.1016/j.hrtlng.2021.07.016 · Cited by 11
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Bretonneau, Q., Peruque-Gayou, E., Wolfs, E., & Bosquet, L. (2023) · International Journal of Sports Physiology and Performance · doi:10.1123/ijspp.2022-0288 · Cited by 10
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Laurent, C. W. S., Burkart, S. A., & Alhassan, S. (2019) · International journal of exercise science · doi:10.70252/voii8947 · Cited by 10
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Ruiz‐Malagón, E. J., Ruiz‐Alias, S. A., García‐Pinillos, F., Delgado‐García, G., & Soto-Hermoso, V. M. (2020) · Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology · doi:10.1177/1754337120976659 · Cited by 9
Effects of acute exercise on emotional memory
Loprinzi, P. D., Olafson, D., Scavuzzo, C. J., Lovorn, A., Mather, M., Frith, E., & Fujiwara, E. (2022) · Cognition & Emotion · doi:10.1080/02699931.2022.2050890 · Cited by 10
Baka, T., & Šimko, F. (2021) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.711417 · Cited by 9
Jin, J. Q., Hong, J. A., Elhage, K. G., Braun, M., Spencer, R. K., Chung, M., Yeroushalmi, S., Hadeler, E. K., Mosca, M., Bartholomew, E., et al. (2023) · Frontiers in Digital Health · doi:10.3389/fdgth.2023.1228503 · Cited by 8
Liu, Y., BARKER, A. R., Li, M., Gu, Y., & Williams, C. A. (2025) · Journal of Sports Sciences · doi:10.1080/02640414.2025.2491163 · Cited by 9
Oost, N. C. V., Masci, F., Malisse, A., Schyvens, A.-M., Peters, B., Dirix, H., Ross, V., Wets, G., Neven, A., Verbraecken, J. A., et al. (2025) · Sensors · doi:10.3390/s25206319 · Cited by 12
Gielen, J., Oost, N. C. V., Debard, G., Sels, R., Witte, N. A. J. D., Colman, T., Bonroy, B., & Aerts, J. (2026) · JMIR Formative Research · doi:10.2196/85186 · Cited by 8
Huynh, P. P., Shan, R., Osuji, N., Ding, J., Isakadze, N., Marvel, F. A., Sharma, G. V., & Martin, S. S. (2020) · JMIR Cardio · doi:10.2196/18050 · Cited by 8
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Burma, J. S., Lapointe, A. P., Soroush, A., Oni, I. K., Smirl, J. D., & Dunn, J. F. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e07148 · Cited by 8
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Malík, M., Camm, A. J., Huikuri, H. V., Lombardi, F., Schmidt, G. P., Schwartz, P. J., & Zabel, M. (2018) · International Journal of Cardiology · doi:10.1016/j.ijcard.2018.02.032 · Cited by 8
Fuller, D., Anaraki, J. R., Simango, B., Dorani, F., Bozorgi, A., Luan, H., & Basset, F. A. (2020) · doi:10.21203/rs.3.rs-17022/v1 · Cited by 8
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Calegari, L., Moreira, I., Falkowski, A., Reolão, J. B. C., Karsten, M., & Deresz, L. F. (2021) · Journal of Exercise Rehabilitation · doi:10.12965/jer.2142488.244 · Cited by 7
Ráčková, L., Pompa, T., Zlámal, F., Barták, M., Nývlt, D., & Vašků, J. B. (2024) · Scientific Reports · doi:10.1038/s41598-024-54203-9 · Cited by 7
Karaçöp, E., Enhoş, A., Bakhshaliyev, N., & Özdemir, R. (2021) · Cardiology Research and Practice · doi:10.1155/2021/8876704 · Cited by 7
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Beavers, D. L., & Chung, E. H. (2022) · Clinics in Sports Medicine · doi:10.1016/j.csm.2022.02.004 · Cited by 7
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Metadata
- Authors
- GILLINOV, S., ETIWY, M., WANG, R., BLACKBURN, G., PHELAN, D., GILLINOV, A. M., HOUGHTALING, P., JAVADIKASGARI, H., & DESAI, M. Y.
- Affiliations
- Cleveland Clinic (US)
- ORCID
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 2017-08
- Volume
- 49
- Issue
- 8
- Pages
- 1697-1703
- ISSN
- 0195-9131 (ISSN-L)
- OpenAlex
- W2597782088
- Cited by
- 345
- References
- 15
- Citations by year
- 2026: 23 · 2025: 30 · 2024: 28 · 2023: 52 · 2022: 42 · 2021: 52 · 2020: 49 · 2019: 35 · 2018: 28 · 2017: 4
- FWCI
- 14.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medicine & Science in Sports & Exercise (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Keywords
- wearable heart rate monitor, heart rate accuracy, aerobic exercise, wrist-worn devices, treadmill exercise, stationary cycling, elliptical trainer, exercise intensity, Apple Watch, Fitbit
- MeSH terms
- Adult, Equipment Design, Female, Heart, Humans, Male, Prospective Studies, Exercise, Electrocardiography, Ambulatory, Optical Phenomena
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