FILE: ECG · OPENED JUL 18 2026 · REV 1 LIVE FILE

ECG Research Desk

The working file on ECG. Each claim below is rated on its own evidence.

In plain terms: every claim below has been checked against the published research and rated on how solid the evidence actually is, not just asserted. Established means multiple strong studies agree. Uncertain means the evidence is thin or conflicting. This file updates as new research comes in, so you can see exactly what's settled about ECG and what isn't.

wearable ECG hub Evidence files: HRV·RHR·Sleep·VO2 Max

Do consumer wearables accurately detect atrial fibrillation?

KnowYourPrime evidence rating Established Strong, consistent evidence supports the claim.

Consumer wearable ECG and PPG-based devices can accurately detect atrial fibrillation compared with clinical reference monitoring.

Systematic-review or meta-analytic evidence affirms the core relationship.
Multiple supporting studies are consistent with the core relationship.
Some evidence conflicts on secondary points that do not change the core direction.

What would change this rating

A new core-hitting conflicting study, a retraction of an anchor, or a failed replication would lower this rating.

32 studies scored · 7 anchor · 23 supporting · 2 conflicting · Last reviewed Jul 18, 2026

Does wearable-based AF screening improve clinical outcomes like stroke prevention?

KnowYourPrime evidence rating Uncertain Evidence is conflicting, inconsistent, or difficult to interpret.

Population-level screening for atrial fibrillation using wearable or ambulatory ECG technology reduces stroke and related clinical harms.

Systematic-review or meta-analytic evidence affirms the core relationship.
Multiple supporting studies are consistent with the core relationship.
An anchor study is present but its own reported finding does not cleanly affirm this claim, so it does not count toward the Established threshold.
A clean anchor supports this claim, but an unresolved conflicting study contradicts it on the core relationship, so the evidence is treated as in genuine dispute.
Null-result evidence bears directly on the claimed effect.

15 studies scored · 4 anchor · 9 supporting · 1 conflicting · 1 null-result · Last reviewed Jul 18, 2026

Studies in Pool45

Claims Rated2

Last PubMed SyncJul 18, 2026

Next Scheduled ReviewJul 25, 2026

8 systematic reviews 13 RCTs 17 observational 2 validity studies 5 other

MAINTAINED BY The KnowYourPrime Research Desk · reviewed against new evidence on a rolling basis

Evidence for: Consumer wearable ECG and PPG-based devices can accurately detect atrial fibrillation compared with clinical reference monitoring.

32 scored

Anchor Studies7

Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation.

Journal

The New England journal of medicine · 2019

PMID

31722151

RCR

66.6

Citations

1,291

Study type

Clinical trial

Sample size

[ pending extraction ]

adultaged

Detection of Atrial Fibrillation in a Large Population Using Wearable Devices: The Fitbit Heart Study.

Journal

Circulation · 2022

PMID

36148649

RCR

22.0

Citations

233

Study type

Primary study

Sample size

[ pending extraction ]

adultfemale

Mobile Photoplethysmographic Technology to Detect Atrial Fibrillation.

Journal

Journal of the American College of Cardiology · 2020

PMID

31487545

RCR

18.9

Citations

365

Study type

Primary study

Sample size

[ pending extraction ]

adultaged

Clinical Validation of 5 Direct-to-Consumer Wearable Smart Devices to Detect Atrial Fibrillation: BASEL Wearable Study.

Journal

JACC. Clinical electrophysiology · 2023

PMID

36858690

RCR

16.3

Citations

115

Study type

Primary study

Sample size

[ pending extraction ]

humansfemale

Smartwatch Performance for the Detection and Quantification of Atrial Fibrillation.

Journal

Circulation. Arrhythmia and electrophysiology · 2020

PMID

31113234

RCR

9.1

Citations

166

Study type

Validity study

Sample size

[ pending extraction ]

action potentialsaged

Diagnostic Accuracy of Smartwatches for the Detection of Cardiac Arrhythmia: Systematic Review and Meta-analysis.

Journal

Journal of medical Internet research · 2021

PMID

34448706

RCR

4.7

Citations

Study type

Meta-analysis

Sample size

[ pending extraction ]

atrial fibrillationhumans

Real-world validation of smartphone-based photoplethysmography for rate and rhythm monitoring in atrial fibrillation.

Journal

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024

PMID

38630867

RCR

6.9

Citations

Study type

Primary study

Sample size

[ pending extraction ]

humansatrial fibrillation

Supporting Studies23

Comparative Evaluation of Consumer Wearable Devices for Atrial Fibrillation Detection: Validation Study.

Journal

JMIR formative research · 2025

PMID

39791483

RCR

4.0

Citations

Study type

Validity study

Sample size

[ pending extraction ]

humansmale

How useful is the smartwatch ECG?

Journal

Trends in cardiovascular medicine · 2020

PMID

31706789

RCR

6.7

Citations

104

Study type

Review

Sample size

[ pending extraction ]

action potentialsatrial fibrillation

Rationale and design of a large population study to validate software for the assessment of atrial fibrillation from data acquired by a consumer tracker or smartwatch: The Fitbit heart study.

Journal

American heart journal · 2021

PMID

33865810

RCR

5.2

Citations

Study type

Clinical trial

Sample size

[ pending extraction ]

adultaged

Accuracy of Smartphone Camera Applications for Detecting Atrial Fibrillation: A Systematic Review and Meta-analysis.

Journal

JAMA network open · 2020

PMID

32242908

RCR

4.2

Citations

Study type

Meta-analysis

Sample size

[ pending extraction ]

adultaged

Diagnostic accuracy of smart gadgets/wearable devices in detecting atrial fibrillation: A systematic review and meta-analysis.

Journal

Archives of cardiovascular diseases · 2021

PMID

32921618

RCR

3.3

Citations

Study type

Meta-analysis

Sample size

[ pending extraction ]

action potentialsaged

Atrial Fibrillation Detection and Atrial Fibrillation Burden Estimation via Wearables.

Journal

IEEE journal of biomedical and health informatics · 2022

PMID

34855603

RCR

4.0

Citations

Study type

Primary study

Sample size

[ pending extraction ]

atrial fibrillationelectrocardiography

Accuracy of the Apple watch for detection of AF: A multicenter experience.

Journal

Journal of cardiovascular electrophysiology · 2023

PMID

36942773

RCR

3.5

Citations

Study type

Primary study

Sample size

[ pending extraction ]

humansfemale

Validation of a Deep Learning Algorithm for Continuous, Real-Time Detection of Atrial Fibrillation Using a Wrist-Worn Device in an Ambulatory Environment.

Journal

Journal of the American Heart Association · 2024

PMID

37750558

RCR

2.6

Citations

Study type

Observational study

Sample size

[ pending extraction ]

humansalgorithms

Arrhythmias Other Than Atrial Fibrillation in Those With an Irregular Pulse Detected With a Smartwatch: Findings From the Apple Heart Study.

Journal

Circulation. Arrhythmia and electrophysiology · 2021

PMID

34565178

RCR

2.4

Citations

Study type

Primary study

Sample size

[ pending extraction ]

agedalgorithms

Consumer-grade wearable cardiac monitors: What they do well, and what needs work.

Journal

Cleveland Clinic journal of medicine · 2024

PMID

38167395

RCR

1.7

Citations

Study type

Review

Sample size

[ pending extraction ]

humansatrial fibrillation

Continuous Atrial Fibrillation Monitoring From Photoplethysmography: Comparison Between Supervised Deep Learning and Heuristic Signal Processing.

Journal

JACC. Clinical electrophysiology · 2024

PMID

38340117

RCR

1.3

Citations

Study type

Primary study

Sample size

[ pending extraction ]

humansatrial fibrillation

Accuracy of pulsatile photoplethysmography applications or handheld devices vs. 12-lead ECG for atrial fibrillation screening: a systematic review and meta-analysis.

Journal

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2022

PMID

34775555

RCR

0.6

Citations

Study type

Meta-analysis

Sample size

[ pending extraction ]

agedatrial fibrillation

Can ChatGPT accurately detect atrial fibrillation using smartwatch ECG?

Journal

Heart & lung : the journal of critical care · 2025

PMID

40345017

Citations

Study type

Primary study

Sample size

[ pending extraction ]

humansatrial fibrillation

Automated interpretations of single-lead electrocardiograms predict incident atrial fibrillation: The VITAL-AF trial.

Journal

Heart rhythm · 2024

PMID

38692342

RCR

0.5

Citations

Study type

Randomized controlled trial

Sample size

[ pending extraction ]

humansatrial fibrillation

Mobile health solutions for atrial fibrillation detection and management: a systematic review.

Journal

Clinical research in cardiology : official journal of the German Cardiac Society · 2022

PMID

34549333

RCR

6.5

Citations

Study type

Systematic review

Sample size

[ pending extraction ]

atrial fibrillationelectrocardiography

Artificial Intelligence for Detection of Cardiovascular-Related Diseases from Wearable Devices: A Systematic Review and Meta-Analysis.

Journal

Yonsei medical journal · 2022

PMID

35040610

RCR

6.3

Citations

Study type

Meta-analysis

Sample size

[ pending extraction ]

algorithmsartificial intelligence

Remote and wearable ECG devices with diagnostic abilities in adults: A state-of-the-science scoping review.

Journal

Heart rhythm · 2022

PMID

35276320

RCR

5.6

Citations

Study type

Review

Sample size

[ pending extraction ]

adultatrial fibrillation

Clinical evaluation and diagnostic yield following evaluation of abnormal pulse detected using Apple Watch.

Journal

Journal of the American Medical Informatics Association : JAMIA · 2021

PMID

32979046

RCR

2.9

Citations

Study type

Primary study

Sample size

[ pending extraction ]

adultaged

Direct-to-consumer detection of atrial fibrillation in a smartwatch electrocardiogram: Medical overuse, medicalisation and the experience of consumers.

Journal

Social science & medicine (1982) · 2022

PMID

35569232

RCR

2.0

Citations

Study type

Primary study

Sample size

[ pending extraction ]

atrial fibrillationelectrocardiography

Precision prevention and the temporal disruption of evidence: the case of heart rate notifications from wearables.

Journal

Medicine, health care, and philosophy · 2026

PMID

41176530

Citations

Study type

Primary study

Sample size

[ pending extraction ]

humansatrial fibrillation

Clinical consequences of smartwatch implementation in a cardiology outpatient clinic.

Journal

Danish medical journal · 2025

PMID

40927828

Citations

Study type

Primary study

Sample size

[ pending extraction ]

humansfemale

Artificial intelligence-guided screening for atrial fibrillation using electrocardiogram during sinus rhythm: a prospective non-randomised interventional trial.

Journal

Lancet (London, England) · 2022

PMID

36179758

RCR

17.4

Citations

190

Study type

Clinical trial

Sample size

[ pending extraction ]

agedartificial intelligence

Detection of atrial fibrillation via adhesive single-lead ECG vs. Holter monitoring in embolic stroke of undetermined source: the AVANT-GARDE trial.

Journal

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2026

PMID

42365924

Citations

Study type

Comparative study

Sample size

[ pending extraction ]

humansatrial fibrillation

Conflicting Studies2

Reliability of single-lead electrocardiogram interpretation to detect atrial fibrillation: insights from the SAFER feasibility study.

Journal

PMID

38941497

RCR

0.9

Citations

Study type

Primary study

Sample size

[ pending extraction ]

Bears on

Secondary point

humansatrial fibrillation

Accuracy and variability of cardiologist interpretation of single lead electrocardiograms for atrial fibrillation: The VITAL-AF trial.

Journal

American heart journal · 2024

PMID

37451355

RCR

0.6

Citations

Study type

Randomized controlled trial

Sample size

[ pending extraction ]

Bears on

Secondary point

humansatrial fibrillation

Evidence for: Population-level screening for atrial fibrillation using wearable or ambulatory ECG technology reduces stroke and related clinical harms.

15 scored

Anchor Studies4

Clinical outcomes of atrial fibrillation screening: a meta-analysis of randomized controlled trials.

Journal

Annals of medicine · 2025

PMID

39862317

Citations

Study type

Meta-analysis

Sample size

[ pending extraction ]

humansatrial fibrillation

Implantable loop recorder detection of atrial fibrillation to prevent stroke (The LOOP Study): a randomised controlled trial.

Journal

Lancet (London, England) · 2021

PMID

34469766

RCR

32.0

Citations

451

Study type

Primary study

Sample size

[ pending extraction ]

agedanticoagulants

Clinical outcomes in systematic screening for atrial fibrillation (STROKESTOP): a multicentre, parallel group, unmasked, randomised controlled trial.

Journal

Lancet (London, England) · 2021

PMID

34469764

RCR

19.5

Citations

292

Study type

Randomized controlled trial

Sample size

[ pending extraction ]

agedanticoagulants

Screening for Atrial Fibrillation in the Older Population: A Randomized Clinical Trial.

Journal

JAMA cardiology · 2022

PMID

33625468

RCR

11.1

Citations

166

Study type

Randomized controlled trial

Sample size

[ pending extraction ]

agedaged, 80 and over

Supporting Studies9

Remote Screening for Asymptomatic Atrial Fibrillation: The AMALFI Randomized Clinical Trial.

Journal

JAMA · 2025

PMID

40878848

RCR

4.1

Citations

Study type

Randomized controlled trial

Sample size

[ pending extraction ]

agedaged, 80 and over

Smartphone-based screening for atrial fibrillation: a pragmatic randomized clinical trial.

Journal

Nature medicine · 2022

PMID

36031651

RCR

8.0

Citations

Study type

Randomized controlled trial

Sample size

[ pending extraction ]

atrial fibrillationchild

Enhanced Detection and Prompt Diagnosis of Atrial Fibrillation Using Apple Watch: A Randomized Controlled Trial.

Journal

Journal of the American College of Cardiology · 2026

PMID

41569211

RCR

6.0

Citations

Study type

Randomized controlled trial

Sample size

[ pending extraction ]

humansatrial fibrillation

Consumer-Led Screening for Atrial Fibrillation: Frontier Review of the AF-SCREEN International Collaboration.

Journal

Circulation · 2022

PMID

36343103

RCR

5.3

Citations

Study type

Review

Sample size

[ pending extraction ]

humansaged

Risk-based screening for the evaluation of atrial fibrillation in general practice (R-BEAT): a randomized cross-over trial.

Journal

QJM : monthly journal of the Association of Physicians · 2025

PMID

39786890

Citations

Study type

Randomized controlled trial

Sample size

[ pending extraction ]

humansatrial fibrillation

Atrial Fibrillation Screening According to Genetic Risk: A Secondary Analysis of the Randomized LOOP Study.

Journal

Journal of the American College of Cardiology · 2026

PMID

41159983

Citations

Study type

Randomized controlled trial

Sample size

[ pending extraction ]

humansatrial fibrillation

Mobile health solutions for atrial fibrillation detection and management: a systematic review.

Journal

Clinical research in cardiology : official journal of the German Cardiac Society · 2022

PMID

34549333

RCR

6.5

Citations

Study type

Systematic review

Sample size

[ pending extraction ]

atrial fibrillationelectrocardiography

Precision prevention and the temporal disruption of evidence: the case of heart rate notifications from wearables.

Journal

Medicine, health care, and philosophy · 2026

PMID

41176530

Citations

Study type

Primary study

Sample size

[ pending extraction ]

humansatrial fibrillation

Atrial fibrillation.

Journal

Lancet (London, England) · 2026

PMID

41794418

Citations

Study type

Review

Sample size

[ pending extraction ]

humansatrial fibrillation

Conflicting Studies1

Overdiagnosis in atrial fibrillation screening with wearables.

Journal

Scandinavian journal of primary health care · 2026

PMID

42033454

Citations

Study type

Systematic review

Sample size

[ pending extraction ]

Bears on

Core claim

humansatrial fibrillation

Null-Result Studies1

PPG-based smartphone application vs usual care for atrial fibrillation screening: A European multicenter randomized trial.

Journal

Heart rhythm · 2025

PMID

40769446

Citations

Study type

Randomized controlled trial

Sample size

[ pending extraction ]

Bears on

Core claim

agedfemale

01On Our Desk

In Progress

What we're reading right now

A study only enters a claim's evidence once it's read in full and weighed against what's already in file.

Identified

Queued

Under Review

Extracted

Pending Consensus

Nothing on the desk this cycle.

02Research Log

JUL 18 2026

doi:10.1001/jamanetworkopen.2020.2064 entered as supporting on the detection accuracy claim.

doi:10.1007/s00392-021-01941-9 entered as supporting on the detection accuracy claim.

doi:10.1007/s10840-021-01068-x entered as supporting on the detection accuracy claim.

doi:10.1007/s11019-025-10308-0 entered as supporting on the detection accuracy claim.

doi:10.1016/j.acvd.2020.05.015 entered as supporting on the detection accuracy claim.

doi:10.1016/j.ahj.2021.04.003 entered as supporting on the detection accuracy claim.

doi:10.1016/j.ahj.2023.07.003 entered as conflicting on the detection accuracy claim.

doi:10.1016/j.hrthm.2022.02.030 entered as supporting on the detection accuracy claim.

doi:10.1016/j.hrthm.2024.04.085 entered as supporting on the detection accuracy claim.

doi:10.1016/j.hrtlng.2025.04.032 entered as supporting on the detection accuracy claim.

doi:10.1016/j.jacc.2019.08.019 entered as anchor on the detection accuracy claim.

doi:10.1016/j.jacep.2022.09.011 entered as anchor on the detection accuracy claim.

doi:10.1016/j.jacep.2024.01.008 entered as supporting on the detection accuracy claim.

doi:10.1016/j.jstrokecerebrovasdis.2026.108693 entered as supporting on the detection accuracy claim.

doi:10.1016/j.socscimed.2022.114954 entered as supporting on the detection accuracy claim.

doi:10.1016/j.tcm.2019.10.010 entered as supporting on the detection accuracy claim.

doi:10.1016/s0140-6736(22)01637-3 entered as supporting on the detection accuracy claim.

doi:10.1056/nejmoa1901183 entered as anchor on the detection accuracy claim.

doi:10.1093/europace/euae065 entered as anchor on the detection accuracy claim.

doi:10.1093/europace/euae181 entered as conflicting on the detection accuracy claim.

doi:10.1093/jamia/ocaa137 entered as supporting on the detection accuracy claim.

doi:10.1109/jbhi.2021.3131984 entered as supporting on the detection accuracy claim.

doi:10.1111/jce.15892 entered as supporting on the detection accuracy claim.

doi:10.1161/circep.118.006834 entered as anchor on the detection accuracy claim.

doi:10.1161/circep.121.010063 entered as supporting on the detection accuracy claim.

doi:10.1161/circulationaha.122.060291 entered as anchor on the detection accuracy claim.

doi:10.1161/jaha.123.030543 entered as supporting on the detection accuracy claim.

doi:10.2196/28974 entered as anchor on the detection accuracy claim.

doi:10.2196/65139 entered as supporting on the detection accuracy claim.

doi:10.3349/ymj.2022.63.s93 entered as supporting on the detection accuracy claim.

doi:10.3949/ccjm.91a.23030 entered as supporting on the detection accuracy claim.

doi:10.61409/a12240906 entered as supporting on the detection accuracy claim.

doi:10.1001/jama.2025.15440 entered as supporting on the screening outcomes claim.

doi:10.1001/jamacardio.2021.0038 entered as anchor on the screening outcomes claim.

doi:10.1007/s00392-021-01941-9 entered as supporting on the screening outcomes claim.

doi:10.1007/s11019-025-10308-0 entered as supporting on the screening outcomes claim.

doi:10.1016/j.hrthm.2025.07.060 entered as null_result on the screening outcomes claim.

doi:10.1016/j.jacc.2025.09.024 entered as supporting on the screening outcomes claim.

doi:10.1016/j.jacc.2025.11.032 entered as supporting on the screening outcomes claim.

doi:10.1016/s0140-6736(21)01637-8 entered as anchor on the screening outcomes claim.

doi:10.1016/s0140-6736(21)01698-6 entered as anchor on the screening outcomes claim.

doi:10.1016/s0140-6736(25)02166-x entered as supporting on the screening outcomes claim.

doi:10.1038/s41591-022-01979-w entered as supporting on the screening outcomes claim.

doi:10.1080/02813432.2026.2656694 entered as conflicting on the screening outcomes claim.

doi:10.1080/07853890.2025.2457522 entered as anchor on the screening outcomes claim.

doi:10.1093/qjmed/hcaf001 entered as supporting on the screening outcomes claim.

doi:10.1161/circulationaha.121.058911 entered as supporting on the screening outcomes claim.

JUL 18 2026

doi:10.1016/j.ahj.2023.07.003 entered as a conflicting study on the detection accuracy claim, flagged as bearing on a secondary point, not the core direction.

Because it does not hit the core claim, it does not cap the rating and is tracked as an open question.

JUL 18 2026

doi:10.1093/europace/euae181 entered as a conflicting study on the detection accuracy claim, flagged as bearing on a secondary point, not the core direction.

Because it does not hit the core claim, it does not cap the rating and is tracked as an open question.

JUL 18 2026

doi:10.1016/j.hrthm.2025.07.060 entered as a null result study on the screening outcomes claim, bearing on the core claim.

It caps the rating until reconciled.

JUL 18 2026

doi:10.1080/02813432.2026.2656694 entered as a conflicting study on the screening outcomes claim, bearing on the core claim.

It caps the rating until reconciled.

04Revision Log

JUL 18 2026

screening outcomes: opened at Uncertain

Opened at Uncertain by rule from the current evidence for: Screening asymptomatic individuals for atrial fibrillation using wearable or ambulatory ECG monitoring reduces stroke or systemic embolism..

JUL 18 2026

detection accuracy: opened at Established

Opened at Established by rule from the current evidence for: Wearable-derived ECG or PPG signals detect atrial fibrillation with accuracy comparable to clinical reference standards..

This page interprets published research. It is not medical advice. The KnowYourPrime Research Desk rates the evidence supporting a claim, not the claim itself. It does not diagnose or treat. Talk to your own doctor about your health.