Key result
The wearable dynamic ECG recorder integrated with an AI algorithm demonstrated a diagnostic accuracy of 94.74% for detecting atrial fibrillation in a supine position.
Why the study?
The asymptomatic and paroxysmal nature of AF leads to unsatisfactory and delayed detection using traditional instruments.
Does a wearable dynamic ECG recorder with an AI algorithm accurately detect atrial fibrillation compared to a 12-lead ECG in outpatients?
Population
114 outpatient registry participants
Comparison
Wearable dynamic ECG recorder vs 12-lead ECG across different positions and after exercise
Design
Diagnostic accuracy study
Authors
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Supports validation of wearable AI-ECG for AF; leaves open routine outpatient use pending prospective trials.
Cross-Sectional (n=114)
Single-blind
No
Does a wearable dynamic ECG recorder with an AI algorithm accurately detect atrial fibrillation compared to a 12-lead ECG in outpatients?
Effect estimate: Accuracy 94.74% (95% CI 88.76-97.80)
A wearable dynamic ECG recorder integrated with an AI algorithm demonstrated high diagnostic accuracy, sensitivity, and specificity for detecting atrial fibrillation across various postures.
Fu et al. (2021) conducted a cross-sectional in Atrial fibrillation (n=114). Wearable dynamic ECG recorder with AI algorithm vs. 12-lead ECG was evaluated on Diagnostic accuracy of the wearable dynamic ECG recorder compared to 12-lead ECG in detecting AF (Accuracy 94.74%, 95% CI 88.76-97.80). The wearable dynamic ECG recorder integrated with an AI algorithm demonstrated a diagnostic accuracy of 94.74% for detecting atrial fibrillation in a supine position.
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