ArticleJMIR cardio2020
Use of a Smart Watch for Early Detection of Paroxysmal Atrial Fibrillation: Validation Study.
Article in JMIR cardio, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.
- Recommendations for determining the validity of consumer wearable heart rate devices: expert statement and checklist of the INTERLIVE Network.British journal of sports medicine · 2021Guideline
- Development and validation of a machine learning model for diagnosis of ischemic heart disease using single-lead electrocardiogram parameters.World journal of cardiology · 2025Trial
- A Mobile App-based Approach in Cardiovascular Disease Prevention: A Prospective Randomized Study.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2024Trial
- Perceptions of the use of smartwatches for the early detection of cardiac arrhythmias in Saudi Arabia: a cross-sectional study.BMC public health · 2026Article
- Implementation Framework to Increase Patient Adherence in Clinical Trials Utilizing Wearable Devices.Research square · 2025Article
- Medical digital twins: enabling precision medicine and medical artificial intelligence.The Lancet. Digital health · 2025Review
- A Survey on the Perceptions of Puerto Rican Cardiologists on the Use of Smartwatches and Implantable Loop Recorders.Cureus · 2025Article
- Feasibility and reliability of a smartwatch to detect atrial fibrillation after cardiac surgery: a prospective study.Frontiers in digital health · 2025Article
- Low-cost and convenient screening of disease using analysis of physical measurements and recordings.PLOS digital health · 2024Review
- Photoplethysmography based atrial fibrillation detection: a continually growing field.Physiological measurement · 2024Review
- Evaluation of Wrist-Worn Photoplethysmography Trackers with an Electrocardiogram in Patients with Ischemic Heart Disease: A Validation Study.Cardiovascular engineering and technology · 2024Article
- Review
- Review
- Wearable Multisensor Ring-Shaped Probe for Assessing Stress and Blood Oxygenation: Design and Preliminary Measurements.Biosensors · 2023Article
- Patient Outcomes Associated with the First Remote Monitoring Experience of Cardiac Implantable Electronic Devices in South Korea.Clinical interventions in aging · 2023Article
- Embedded Sensor Systems in Medical Devices: Requisites and Challenges Ahead.Sensors (Basel, Switzerland) · 2022Article
- Evaluation of a Wearable in-Ear Sensor for Temperature and Heart Rate Monitoring: A Pilot Study.Journal of medical systems · 2022Article
- Photoplethysmography-Based Smart Devices for Detection of Atrial Fibrillation.Texas Heart Institute journal · 2022Article
- Smart Consumer Wearables as Digital Diagnostic Tools: A Review.Diagnostics (Basel, Switzerland) · 2022Review
- Diagnosis of Atrial Fibrillation Using Machine Learning With Wearable Devices After Cardiac Surgery: Algorithm Development Study.JMIR formative research · 2022Article
Corrections and comments
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWearable devices with photoplethysmography (PPG) technology can be useful for detecting paroxysmal atrial fibrillation (AF), which often goes uncaptured despite being a leading cause of stroke.
objectiveThis study is the first part of a 2-phase study that aimed at developing a method for immediate detection of paroxysmal AF using PPG-integrated wearable devices. In this study, the diagnostic performance of 2 major smart watches, Apple Watch Series 3 and Fitbit (FBT) Charge HR Wireless Activity Wristband, each equipped with a PPG sensor, was compared, and the pulse rate data outputted from those devices were analyzed for precision and accuracy in reference to the heart rate data from electrocardiography (ECG) during AF.
methodsA total of 40 subjects from patients who underwent cardiac surgery at a single center between September 2017 and March 2018 were monitored for postoperative AF using telemetric ECG and PPG devices. AF was diagnosed using a 12-lead ECG by qualified physicians. Each subject was given a pair of smart watches, Apple Watch and FBT, for simultaneous pulse rate monitoring. The heart rate of all subjects was also recorded on the telemetry system. Time series pulse rate trends and heart rate trends were created and analyzed for trend pattern similarities. Those trend data were then used to determine the accuracy of PPG-based pulse rate measurements in reference to ECG-based heart rate measurements during AF.
resultsOf the 20 AF events in group FBT, 6 (30%) showed a moderate or higher correlation (cross-correlation function>0.40) between pulse rate trend patterns and heart rate trend patterns. Of the 16 AF events in group Apple Watch (workout [W] mode), 12 (75%) showed a moderate or higher correlation between the 2 trend patterns. Linear regression analyses also showed a significant correlation between the pulse rates and the heart rates during AF in the subjects with Apple Watch. This correlation was not observed with FBT. The regression formula for Apple Watch W mode and FBT was X=14.203 + 0.841Y and X=58.225 + 0.228Y, respectively (where X denotes the mean of all average pulse rates during AF and Y denotes the mean of all corresponding average heart rates during AF), and the coefficient of determination (R
conclusionsIn this validation study, the detection precision of AF and measurement accuracy during AF were both better with Apple Watch W mode than with FBT.
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