Key result
Smartwatch single-lead ECG algorithm detects AF with ~96% sensitivity compared to 12-lead ECG.
Why the study?
Atrial fibrillation can be difficult to diagnose when asymptomatic or paroxysmal, presenting an opportunity for wearable connected devices to improve detection.
Does an automatic algorithm using a single-lead smartwatch ECG accurately detect atrial fibrillation compared to a 12-lead reference ECG in adult patients?
Population
262 patients recruited from 4 sites in Paris, France
Comparison
Smartwatch single-lead ECG algorithm vs 12-lead reference ECG reviewed by blinded cardiologists
Design
Prospective multicenter clinical validation study with blinded assessment
Authors
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Supports smartwatch AF detection feasibility in adults; leaves open prospective validation before clinical adoption.
Cross-Sectional (n=262)
Blinded assessors
Yes
Does an automatic algorithm using a single-lead smartwatch ECG accurately detect atrial fibrillation compared to a 12-lead reference ECG in adult patients?
Effect estimate: Specificity 100% (95% CI Sensitivity lower bound 0.894, Specificity lower bound 0.967)
An automatic algorithm using a single-lead ECG from an analog smartwatch demonstrated high sensitivity (96.3%) and specificity (100%) for detecting atrial fibrillation compared to a standard 12-lead ECG.
Campo et al. (2022) conducted a cross-sectional in Atrial fibrillation (n=262). Analog smartwatch single-lead electrocardiogram algorithm vs. 12-lead electrocardiogram was evaluated on Sensitivity and specificity of the algorithm to detect atrial fibrillation (Specificity 100%, 95% CI Sensitivity lower bound 0.894, Specificity lower bound 0.967). An algorithm for automatic detection of atrial fibrillation from a smartwatch single-lead ECG demonstrated a sensitivity of 0.963 and specificity of 1.000 compared to a 12-lead ECG.
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