ArticleScientific reports2021
Measurement of the QT interval using the Apple Watch.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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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.
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Who cites it
28 citing papers in PubMed, 39 citations in OpenAlex.
- Multi-Tier Validation of a Single-Lead Wearable ECG Signal-Processing Pipeline: Clinical Comparison and Algorithmic Benchmarking on Public Expert-Annotated Databases.Sensors (Basel, Switzerland) · 2026Article
- Evaluation of a Consumer Wearable Smartwatch for Cardiac Interval Measurement in Healthy Adults: Cross-Sectional Method Comparison Study.JMIR formative research · 2026Article
- Implementation of Machine Learning in Heart Failure Trials.Current heart failure reports · 2026Review
- Contemporary wearable and handheld technology for the diagnosis of cardiac arrhythmias in Singapore.Singapore medical journal · 2026Review
- Recurrent Ventricular Fibrillation Associated With Graves' Disease: A Case Report.Case reports in cardiology · 2026Article
- Diagnostic accuracy of wearable ECG and assessment of ventricular repolarization and its cardiovascular risks post cold stress.Scientific reports · 2025Article
- Are Wearable ECG Devices Ready for Hospital at Home Application?Sensors (Basel, Switzerland) · 2025Review
- Rhythm-Ready: Harnessing Smart Devices to Detect and Manage Arrhythmias.Current cardiology reports · 2024Review
- Can wearables outscore general practitioners? Congenital long QT syndrome diagnosis initiated by a smartwatch.HeartRhythm case reports · 2024Article
- Application of Convolutional Neural Network for Decoding of 12-Lead Electrocardiogram from a Frequency-Modulated Audio Stream (Sonified ECG).Sensors (Basel, Switzerland) · 2024Article
- An Artificial Intelligence Analysis of Electrocardiograms for the Clinical Diagnosis of Cardiovascular Diseases: A Narrative Review.Journal of clinical medicine · 2024Review
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- Myocardial work in children with Wolff-Parkinson-White syndrome.The international journal of cardiovascular imaging · 2023Article
- Non-Invasive Risk Assessment and Prediction of Mortality in Patients Undergoing Coronary Artery Bypass Graft Surgery.Journal of cardiovascular development and disease · 2023Article
- Detection of QT interval prolongation using Apple Watch electrocardiogram in children and adolescents with congenital long QT syndrome.International journal of cardiology. Heart & vasculature · 2023Article
- Electrocardiogram Devices for Home Use: Technological and Clinical Scoping Review.JMIR cardio · 2023Article
- Using a Smartwatch to Record Precordial Electrocardiograms: A Validation Study.Sensors (Basel, Switzerland) · 2023Article
- Accurate QT correction method from transfer entropy.Cardiovascular digital health journal · 2023Article
- Smart devices to measure and monitor QT intervals.Frontiers in cardiovascular medicine · 2023Review
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The inherited and acquired long QT is a risk marker for potential serious cardiac arrhythmias and sudden cardiac death. Smartwatches are becoming more popular and are increasingly used for monitoring human health. The present study aimed to assess the feasibility and reliability of evaluating the QT interval in lead I, lead II, and V2 lead using a commercially available Apple Watch. One hundred nineteen patients admitted to our Cardiology Division were studied. I, II, and V2 leads were obtained after recording a standard 12-lead ECG. Lead I was recorded with the smartwatch on the left wrist and the right index finger on the crown. Lead II was obtained with the smartwatch on the left lower abdomen and the right index finger on the crown. The V2 lead was recorded with the smartwatch in the fourth intercostal space left parasternal with the right index finger on the crown. There was agreement among the QT intervals of I, II, and V2 leads and the QT mean using the smartwatch and the standard ECG with Spearman's correlations of 0.886; 0.881; 0.793; and 0.914 (p < 0.001), respectively. The reliability of the QTc measurements between standard and smartwatch ECG was also demonstrated with a Bland-Altman analysis using different formulas. These data show that a smartwatch can feasibly and reliably assess QT interval. These results could have an important clinical impact when frequent QT interval monitoring is required.
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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.