Evidence map›Paper›PMID 30855232›Full record

ArticleJMIR mHealth and uHealth2019

Accuracy of Consumer Wearable Heart Rate Measurement During an Ecologically Valid 24-Hour Period: Intraindividual Validation Study.

Benjamin W Nelson, Nicholas B Allen

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 164 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
164citing papers in PubMed, 4 pooled it
11.5field-weighted citation impact, top 1% of its field
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.

NCT05106725 recruitingnot on this mapstarted 2021, after this paper: background citation

Study of Clinical Biomarkers in Human Health and Disease (Healthiomics)

TypeobservationalSponsorCureScienceRan2021 to 2025Enrolled3,500ConditionsBrain Cancer, Neurological Disorder, Neurological Cancer
NCT06546046 nanot yet recruitingnot on this mapstarted 2024, after this paper: background citation

Analysis of the Efficacy and Stability of a Single-Channel Patch-Type Wearable Electrocardiogram Monitor

TypeinterventionalSponsorMezoo Co., Ltd.Ran2024 to 2025Enrolled100ConditionsArrhythmias, Cardiac, Bradycardia, Tachycardia, Atrial FibrillationArmsECG monitoring by telemetry device and patch-type ECG monitor at the same time
3 · Its place in the literature

Who cites it

164 citing papers in PubMed, 4 syntheses or guidelines pooled it, 309 citations in OpenAlex.

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104 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Benjamin W NelsonDepartment of Psychology, University of Oregon, Eugene, OR, United States.ORCID 0000-0002-5474-7674
Nicholas B AllenDepartment of Psychology, University of Oregon, Eugene, OR, United States.ORCID 0000-0002-1086-6639
University of Oregon · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWrist-worn smart watches and fitness monitors (ie, wearables) have become widely adopted by consumers and are gaining increased attention from researchers for their potential contribution to naturalistic digital measurement of health in a scalable, mobile, and unobtrusive way. Various studies have examined the accuracy of these devices in controlled laboratory settings (eg, treadmill and stationary bike); however, no studies have investigated the heart rate accuracy of wearables during a continuous and ecologically valid 24-hour period of actual consumer device use conditions.

objectiveThe aim of this study was to determine the heart rate accuracy of 2 popular wearable devices, the Apple Watch 3 and Fitbit Charge 2, as compared with the gold standard reference method, an ambulatory electrocardiogram (ECG), during consumer device use conditions in an individual. Data were collected across 5 daily conditions, including sitting, walking, running, activities of daily living (ADL; eg, chores, brushing teeth), and sleeping.

methodsOne participant, (first author; 29-year-old Caucasian male) completed a 24-hour ecologically valid protocol by wearing 2 popular wrist wearable devices (Apple Watch 3 and Fitbit Charge 2). In addition, an ambulatory ECG (Vrije Universiteit Ambulatory Monitoring System) was used as the gold standard reference method, which resulted in the collection of 102,740 individual heartbeats. A single-subject design was used to keep all variables constant except for wearable devices while providing a rapid response design to provide initial assessment of wearable accuracy for allowing the research cycle to keep pace with technological advancements. Accuracy of these devices compared with the gold standard ECG was assessed using mean error, mean absolute error, and mean absolute percent error. These data were supplemented with Bland-Altman analyses and concordance class correlation to assess agreement between devices.

resultsThe Apple Watch 3 and Fitbit Charge 2 were generally highly accurate across the 24-hour condition. Specifically, the Apple Watch 3 had a mean difference of -1.80 beats per minute (bpm), a mean absolute error percent of 5.86%, and a mean agreement of 95% when compared with the ECG across 24 hours. The Fitbit Charge 2 had a mean difference of -3.47 bpm, a mean absolute error of 5.96%, and a mean agreement of 91% when compared with the ECG across 24 hours. These findings varied by condition.

conclusionsThe Apple Watch 3 and the Fitbit Charge 2 provided acceptable heart rate accuracy (<±10%) across the 24 hour and during each activity, except for the Apple Watch 3 during the daily activities condition. Overall, these findings provide preliminary support that these devices appear to be useful for implementing ambulatory measurement of cardiac activity in research studies, especially those where the specific advantages of these methods (eg, scalability, low participant burden) are particularly suited to the population or research question.

Indexed as

AccelerometryActivities of Daily LivingAdultFitness TrackersHeart RateHeart Rate DeterminationHumansMaleMonitoring, PhysiologicValidation Studies as TopicWearable Electronic DevicesApple Watch 3digital healthelectrocardiographyFitbit Charge 2heart ratemobile healthpassive sensingphotoplethysmographywearables

Identifiers

PMID30855232
PMCPMC6431828
OpenAlexW2900058591

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.