Evidence map›Paper›PMID 42076635›Full record

ArticleSensors (Basel, Switzerland)2026

Comparative Validity of Smartwatch-Derived Heart Rate and Energy Expenditure During Endurance and Resistance Exercise.

Tae-Hyung Lee, Dong-Uk Jun, Ju-Yong Bae, Hee-Tae Roh, Su-Youn Cho

Abstract readComparative Study
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Tae-Hyung LeeExercise Physiology Laboratory, Department of Physical Education, Yonsei University, Seoul 03722, Republic of Korea.ORCID 0000-0002-9015-9917
Dong-Uk JunDigital Transformation Team, Healthcare/Sensor Business Development, SOLUM, Yongin 16914, Republic of Korea.
Ju-Yong BaeDepartment of Physical Education, College of Arts and Sports, Dong-A University, Busan 49315, Republic of Korea.ORCID 0000-0003-4155-2250
Hee-Tae RohDepartment of Sports Science, College of Arts and Sports, Sun Moon University, Asan 31460, Republic of Korea.ORCID 0000-0002-3586-1666
Su-Youn ChoExercise Physiology Laboratory, Department of Physical Education, Yonsei University, Seoul 03722, Republic of Korea.

Funding

SOLUM Health Care N/A
6 · The paper itself

Abstract

Smartwatches are widely used to monitor physiological responses during exercise; however, their accuracy in measuring heart rate (HR) and energy expenditure (EE) across different exercise modalities remains insufficiently characterized. This study evaluated the accuracy of HR and EE measurements obtained from four commercially available smartwatches in comparison with gold-standard reference methods. Sixty-two healthy adult men performed standardized endurance and resistance exercise protocols while simultaneously wearing four smartwatches (Apple, Galaxy, Fitbit, and Garmin). HR was measured using electrocardiography (ECG), and EE was determined using indirect calorimetry. Measurement accuracy was assessed using repeated-measures analysis of variance, Pearson's correlation analysis, intraclass correlation coefficients (ICCs), and Bland-Altman analyses. All smartwatches demonstrated high accuracy in HR measurements during both endurance and resistance exercises. During endurance exercise, HR measurements from all smartwatch brands were comparable to those obtained via ECG, whereas during resistance exercise, only the Apple Watch showed no significant difference from the ECG. HRs showed strong correlations with ECG readings (

Indexed as

Energy MetabolismExerciseHeart RatePhysical EnduranceResistance TrainingAdultElectrocardiographyHumansMaleReproducibility of ResultsWearable Electronic DevicesYoung Adultenergy expenditure estimationexercise modalityheart rate monitoringphotoplethysmographysmartwatchvaliditywearable sensors

Identifiers

PMID42076635
PMCPMC13120158

What OpenQuestion holds

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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 OpenQuestion graph.