ArticleDigital health
Accuracy of wrist-worn wearable devices for determining exercise intensity.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The Representation of Different Populations in Studies Assessing the Validity of Consumer Wearable Photoplethysmography-Based Measurements: Scoping Review.JMIR mHealth and uHealth · 2026Article
- Multicenter real world validation of on device single lead ECG parameters for remote cardiac assessment.NPJ cardiovascular health · 2026Article
- Effect of Wearable Activity Tracker Social Behaviors on Physical Activity and Exercise Self-Efficacy: Real-World Pilot Study.JMIR formative research · 2026Article
- The accuracy of Apple Watch measurements: a living systematic review and meta-analysis.NPJ digital medicine · 2026Article
- A Feasibility Study of Domain Adaptation for Exercise Intensity Recognition Based on Wearable Sensors.Sensors (Basel, Switzerland) · 2025Article
- The use of commercial wrist-worn technology to track physiological outcomes in behavioral interventions.Current opinion in clinical nutrition and metabolic care · 2023Review
- Are Activity Wrist-Worn Devices Accurate for Determining Heart Rate during Intense Exercise?Bioengineering (Basel, Switzerland) · 2023Article
- A Bibliometric Analysis of Wearable Device Research Trends 2001-2022-A Study on the Reversal of Number of Publications and Research Trends in China and the USA.International journal of environmental research and public health · 2022Article
- Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: As an indicator of exercise intensity, heart rate can be measured in a timely manner using wrist-worn devices. No study has attempted to estimate a target exercise intensity using wearable devices. The objective of the study was to evaluate the validity of prescribing exercise intensity using wrist-worn devices. Methods: Thirty healthy subjects completed a maximal cardiopulmonary exercise test. Their heart rates were recorded using an electrocardiogram and two devices-Apple Watch Series 6 and Garmin Forerunner 945. Exercise intensity with the target heart rate was defined as resting heart rate + (maximal heart rate - resting heart rate) * Results: Both devices showed a low mean absolute error (1.16-1.48 bpm for Apple and 1.35-2.25 for Garmin) and mean absolute percentage error (<1% for Apple and 1.16-1.39% for Garmin) in all intensities. A substantial correlation with electrocardiogram-measured heart rate was observed for moderate to vigorous intensity with concordance correlation coefficient > 0.95 for both devices, except that Garmin showed moderate correlation at the upper limit of vigorous activity with concordance correlation coefficient = 0.936. Moreover, Bland-Altman plots and scatterplots demonstrated a strong correlation without systematic error when the values obtained via the two devices were compared with electrocardiogram measurements. Conclusions: Our findings indicate the high validity of exercise prescriptions based on the heart rate measured by the two devices. Additional research should explore other populations to confirm these findings.
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