Evidence map›Paper›PMID 42696500›Full record

ArticleJMIR formative research2026

Evaluation of a Consumer Wearable Smartwatch for Cardiac Interval Measurement in Healthy Adults: Cross-Sectional Method Comparison Study.

Nicholas Noggle, David Wing, Job Godino, Michael Higgins, Daniel Moreno, Dylan Lawton, Ariel Dowling, Jasmin Imsirovic, Ryan Moran

Abstract readComparative Study
In one paragraph

Article in JMIR formative research, 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

9 authors.

Nicholas NoggleSchool of Medicine, University of California San Diego, La Jolla, CA, United States.ORCID 0009-0000-6506-6957
David WingHerbert Wertheim School of Public Health and Human Longevity, University of California San Diego, La Jolla, CA, United States.ORCID 0000-0003-1883-9448
Job GodinoHerbert Wertheim School of Public Health and Human Longevity, University of California San Diego, La Jolla, CA, United States.ORCID 0000-0002-4852-6277
Michael HigginsHerbert Wertheim School of Public Health and Human Longevity, University of California San Diego, La Jolla, CA, United States.ORCID 0000-0001-9639-3352
Daniel MorenoHerbert Wertheim School of Public Health and Human Longevity, University of California San Diego, La Jolla, CA, United States.ORCID 0000-0001-5724-2332
Dylan LawtonSchool of Medicine, University of Hawaii Cancer Center, Honolulu, HI, United States.ORCID 0000-0002-5415-4123
Ariel DowlingDigital Health Sciences, Takeda (United States), Cambridge, MA, United States.ORCID 0000-0002-7889-4978
Jasmin ImsirovicDigital Health Sciences, Takeda (United States), Cambridge, MA, United States.ORCID 0000-0001-9965-6808
Ryan MoranSchool of Medicine, University of California San Diego, La Jolla, CA, United States.ORCID 0000-0002-2219-5502

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Commercially available wearable devices, capable of measuring cardiac rhythm, are gaining popularity for convenient heart health monitoring. Accurate measurement of key intervals, specifically RR intervals for rhythm and QT and corrected QT (QTc) intervals for arrhythmia risk, is crucial for assessing potential cardiac morbidity. Objective: This study aimed to evaluate the agreement of RR, QT, and QTc intervals measured by a consumer wearable device (Withings ScanWatch series 1) with those measured using a research-grade 3-lead electrocardiogram (ECG; Biopac) and a clinically approved single-lead patch (Cardea SOLO). Methods: This was a cross-sectional study of 28 healthy adults aged 21 to 65 years, with a mean age of 39.4 (SD 13.0) years. Participants underwent 4 concurrent ECG measurements per device: twice seated at rest, once supine, and once after exercise. All RR and QT intervals were manually measured using standardized caliper software (EP calipers) by trained reviewers, and QTc was calculated using the Bazett formula. Agreement was assessed via repeated-measures correlation ( Results: Strong agreement was observed for RR intervals when comparing the Withings ScanWatch with both the Biopac ( Conclusions: While the Withings ScanWatch showed strong agreement for RR interval measurement, its variability and systematic underestimation in QT and QTc measurements limited its clinical applicability for accurate assessment of arrhythmia risk. The device may serve as a valuable tool for tracking trends over time, but it is currently unreliable for precise interval screening.

Indexed as

ElectrocardiographyHeart RateWearable Electronic DevicesAdultAgedCross-Sectional StudiesFemaleHealthy VolunteersHumansMaleMiddle AgedYoung Adultarrhythmiacardiaccorrected QT intervalECGelectrocardiogramQTc intervalQT intervalRR intervalwearable deviceswearables

Identifiers

PMID42696500
PMCPMC13544414

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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.