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Atrial fibrillation detection using ambulatory smartwatch photoplethysmography and validation with simultaneous holter recording

Po‐Cheng Chang, Ming‐Shien Wen, Chung‐Chuan Chou, Chun‐Chieh Wang, Kuo‐Chun Hung

2022American Heart Journal45 citationsDOIOpen Access PDF

Abstract

BACKGROUND: Atrial fibrillation (AF)-associated embolic stroke is preventable, and AF detection may help to prevent stroke in subjects with paroxysmal AF. We aimed to evaluate the AF detection performance of smartwatch photoplethysmography (PPG) and the feasibility of ambulatory monitoring for AF detection in the daily life. DESIGN AND METHODS: Consecutive subjects who underwent ambulatory Holter electrocardiogram (ECG) monitoring for AF detection or AF burden evaluation were enrolled. The participants underwent 24 hours of simultaneous Holter ECG monitoring and continuous PPG recording using a Garmin smartwatch. The PPG signals were processed for noise rejection, beat detection, beat labeling, and rhythm labeling for each 5-minute segment. The accuracy of the PPG AF detection was calculated using the corresponding simultaneous Holter ECG as the AF diagnostic standard. RESULTS: Among the 200 available participants, 112 participants (56%) developed AF (the AF group). The sensitivity, specificity, and positive predicted value of AF detection in participants were 97.3%, 88.6%, and 91.6%, respectively. The area under the receiver operating characteristic curve was 0.90. When the performance was analyzed in these 5-minute segments, the sensitivity, specificity, and positive predicted values of AF detection were 97.1%, 86.8%, and 89.7%, respectively. CONCLUSIONS: This study demonstrated the feasibility of ambulatory monitoring for AF detection using a commercial smartwatch in daily life. A smartwatch may be an alternative screening tool to standard ambulatory Holter monitoring.

Topics & Concepts

MedicinePhotoplethysmogramAmbulatoryAtrial fibrillationCardiologySmartwatchAmbulatory ECGInternal medicineReceiver operating characteristicBeat (acoustics)Wearable computerComputer scienceAcousticsEmbedded systemFilter (signal processing)PhysicsComputer visionAtrial Fibrillation Management and OutcomesNon-Invasive Vital Sign MonitoringECG Monitoring and Analysis