Evidence map›Paper›PMID 42438855›Full record

ArticlePhysical activity and nutrition2026

Comparison of heart rate measurement accuracy among commercially available photoplethysmography-based wearable devices across exercise intensities.

Yoonyoung Jeong, Sehwa Yoon, Jaehee Lee, Woo-Min Jeong, Min-Seong Ha

Abstract read
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Article in Physical activity and nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yoonyoung Jeong *Laboratory of Sports Conditioning: Nutrition Biochemistry and Neuroscience, Department of Sport Science, College of Arts and Sports, University of Seoul, Seoul, Republic of Korea.
Sehwa Yoon *Laboratory of Sports Conditioning: Nutrition Biochemistry and Neuroscience, Department of Sport Science, College of Arts and Sports, University of Seoul, Seoul, Republic of Korea.
Jaehee LeeLaboratory of Sports Conditioning: Nutrition Biochemistry and Neuroscience, Department of Sport Science, College of Arts and Sports, University of Seoul, Seoul, Republic of Korea.
Woo-Min JeongDepartment of Sports and Leisure Studies, Gimcheon University, Gimcheon, Republic of Korea. phdjwm@gmail.com.
Min-Seong HaLaboratory of Sports Conditioning: Nutrition Biochemistry and Neuroscience, Department of Sport Science, College of Arts and Sports, University of Seoul, Seoul, Republic of Korea. haminseong@uos.ac.kr.

Funding

Gimcheon UniversityMinistry of EducationNational Research Foundation of Korea 2025S1A5C2A02022644
6 · The paper itself

Abstract

purposeWe compared the heart rate (HR) measurement accuracy of commercially available PPG-based wearable devices against an ECG-based reference device across different exercise intensities.

methodsForty healthy young adults were recruited, and data from 37 participants were analyzed. HR was simultaneously measured using Polar H10 as the ECG-based reference and four PPG-based devices: Polar Verity Sense, Polar Pacer Pro, Apple Watch SE, and Galaxy Watch 6. Participants completed low-, moderate-, and high-intensity treadmill exercise. Accuracy was assessed using mean absolute error (MAE), mean absolute percentage error (MAPE), Lin's concordance correlation coefficient (CCC), and Bland-Altman analysis.

resultsMAE and MAPE generally decreased as intensity increased. Significant differences in MAE were observed among the devices across intensities (p = 0.002). The Polar Verity Sense and Apple Watch SE showed significantly lower MAE than the Polar Pacer Pro and Galaxy Watch 6. During low-intensity exercise, the Apple Watch SE showed lower MAE than the Polar Pacer Pro and Galaxy Watch 6, whereas during high-intensity exercise, the Polar Verity Sense showed lower MAE than the Galaxy Watch 6. CCC values increased with exercise intensity and were consistently higher for the Polar Verity Sense and Apple Watch SE. Bland-Altman analysis showed narrower limits of agreement for the Apple Watch SE and Polar Verity Sense.

conclusionHR measurement accuracy differed substantially among the PPG-based wearable devices. The Apple Watch SE and Polar Verity Sense showed the highest agreement with the ECG-based reference, suggesting that wearable HR data should be interpreted based on device-specific validation.

Indexed as

exercise intensityheart rate monitoringmeasurement accuracyphotoplethysmographywearable devices

Identifiers

PMID42438855
PMCPMC13358589

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.