Cited by 386Non-Invasive Vital Sign MonitoringPhysical Activity and HealthHeart Rate Variability and Autonomic Control

Accuracy of wrist-worn heart rate monitors

Open access
Wang, Robert, Blackburn, Gordon, Desai, Milind, Phelan, Dermot, Gillinov, Lauren, Houghtaling, Penny, Gillinov, Marc·2017·JAMA Cardiology

Abstract

Accuracy of Wrist-Worn Heart Rate MonitorsWrist-worn fitness and heart rate (HR) monitors are popular.1,2 While the accuracy of chest strap, electrode-based HR monitors has been confirmed, 3,4 the accuracy of wrist-worn, optically based HR monitors is uncertain.5,6 Assessment of the monitors' accuracy is important for individuals who use them to guide their physical activity and for physicians to whom these individuals report HR readings.The objective of this study was to assess the accuracy of 4 popular wrist-worn HR monitors under conditions of varying physical exertion.Methods | This study recruited 50 healthy adults.The mean (SD) age was 37 (11.3)years; the mean (SD) body mass index (calculated as weight in kilograms divided by height in meters squared) was 23.5 (3.1); 28 participants were women (58%), and 7 participants were African American (14%).Exclusion criteria included cardiovascular disease, pacemakers, and treatment with heart rhythm medications.The protocol was approved by the Cleveland Clinic institutional review board.Participants provided written informed consent.Participants wore standard electrocardiographic limb leads and a Polar H7 chest strap monitor secured tightly to ensure skin contact.Each participant was randomly assigned to wear 2 different wrist-worn HR monitors placed tightly above the ulnar styloid.Four wrist-worn monitors were assessed: Fitbit Charge HR (Fitbit), Apple Watch (Apple), Mio Alpha (Mio Global), and Basis Peak (Basis).Heart rate was assessed with the participant on a treadmill at rest and at 2 mph, 3 mph, 4 mph, 5 mph, and 6 mph.Participants exercised at each setting for 3 minutes to achieve a steady state; HR was recorded instantaneously at the 3-minute point.After completion of the treadmill protocol, HR was recorded at 30, 60, and 90 seconds' recovery.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1001/jamacardio.2016.3340

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The Polar H7 uses an ECG-based sensor technique with medical grade accuracy.

    “The Polar H7 [17] is a chest strap recording heart beats and interbeat-intervals, using an electrocardiograph (ECG) based sensor technique with medical grade accuracy [83].”

    From Sensing Interruptibility in the Office: A Field Study on the Use of Biometric and Computer Interaction Sensors (2018) · cites this paper as [83]

    The Methods passage (page unavailable) identifies the Polar H7 as a chest-strap monitor, and the table reports 0.99 concordance with electrocardiogram-measured heart rate. The paper describes chest-strap monitors as electrode-based, but does not explicitly establish the Polar H7’s sensor technique or designate its accuracy as “medical grade.” (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • The actigraphy-based sleep tracker has proven to be most accurate when collecting measurements at rest.

    “The tracker has proven to be most accurate when collecting measurements at rest [34,35].”

    From Reduced cognitive function during a heat wave among residents of non-air-conditioned buildings: An observational study of young adults in the summer of 2016 (2018) · cites this paper as [34]

    The Discussion (provided as passage [3] under Abstract; page not given) says wrist-worn heart-rate monitors were generally most accurate at rest. The paper assessed heart-rate readings, not the accuracy of an actigraphy-based sleep tracker or its sleep measurements. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • The two devices showed reasonable accuracy in HR and EE estimations under certain exercise conditions.

    “Similar to previous studies [13,28,30-32], we found reasonable accuracy in HR and EE estimations for these 2 devices under certain exercise conditions.”

    From Accuracy of Wrist-Worn Activity Monitors During Common Daily Physical Activities and Types of Structured Exercise: Evaluation Study (2018) · cites this paper as [28]

    The Results and Discussion (Abstract; page unavailable) report that wrist-worn monitors’ HR accuracy varied with exercise intensity and was generally best at rest, supporting only the qualified HR portion. The study assessed four monitors, not the citing authors’ two devices, and our copy reports no evaluation of energy-expenditure (EE) accuracy. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Because the Fitbit samples at a coarser rate, it cannot measure heart rate variability.

    “While the Fitbit's coarser sampling granularity does not allow measuring HRV [83] and tends to overestimate sleep duration, it has a high intra-device reliability [60]”

    From Sensing Interruptibility in the Office: A Field Study on the Use of Biometric and Computer Interaction Sensors (2018) · cites this paper as [83]

    The Methods passage (page not provided) describes recording Fitbit heart-rate readings at set points during a treadmill test. The Discussion passage (page not provided) says continuous assessment was not feasible with all devices, but neither passage identifies Fitbit’s sampling rate or addresses whether it can measure heart rate variability. Searches for HRV and sampling granularity found no passage establishing the claim. (LLM, conf=0.75)

    Experimental — accuracy not yet measured
  • Other studies have used suboptimal reference methods, such as chest straps or pulse oximeters, which themselves have a degree of error varying between 0 and 40 bpm when compared to electrocardiograms.

    “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).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 5

  1. [5]5. Nagele P. The case for a revised definition of myocardial infarction: resolving the ambiguity of type 2 myocardial infarction. JAMA Cardiol. 2016;1(3):247-248.
  2. [6]6. Shah AS, McAllister DA, Mills R, et al. Sensitive troponin assay and the classification of myocardial infarction. Am J Med. 2015;128(5):493-501.e3.
  3. [7]7. Baron T, Hambraeus K, Sundström J, Erlinge D, Jernberg T, Lindahl B; TOTAL-AMI study group. Type 2 myocardial infarction in clinical practice. Heart. 2015;101(2):101-106.
  4. [8]8. Saaby L, Poulsen TS, Hosbond S, et al. Classification of myocardial infarction: frequency and features of type 2 myocardial infarction. Am J Med. 2013;126(9): 789-797.
  5. [9]9. Sandoval Y, Smith SW, Thordsen SE, Apple FS. Supply/demand type 2 myocardial infarction: should we be paying more attention? J Am Coll Cardiol. 2014;63(20):2079-2087.

Cited by

Sorted by citations

Authors
Wang, R., Blackburn, G., Desai, M., Phelan, D., Gillinov, L., Houghtaling, P., & Gillinov, M.
Affiliations
Cleveland Clinic (US)
Corresponding author
Gillinov, Marc
Venue
JAMA Cardiology
Published
2017-01-01
Volume
2
Issue
1
Pages
104
ISSN
2380-6583 (ISSN-L)
OpenAlex
W2530450109
Cited by
386
References
6
Citations by year
2026: 16 · 2025: 31 · 2024: 29 · 2023: 32 · 2022: 43 · 2021: 40 · 2020: 52 · 2019: 59 · 2018: 57 · 2017: 25 · 2016: 1
FWCI
22.72
Type
journal article
Language
en
Open access
Locations
  • JAMA Cardiology (publishedVersion)
  • PubMed (publishedVersion)
Funders
Cleveland Clinic
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
Keywords
heart rate accuracy, wearable activity trackers, treadmill exercise, exercise intensity, heart rate recovery, Apple Watch
MeSH terms
Adult, Heart Rate, Humans, Middle Aged, Wrist, Electrocardiography, Ambulatory, Healthy Volunteers

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review