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Identifying Atrial Fibrillation using Integrated Methods of 12-lead and Single-lead ECG during Normal Sinus Rhythm based on Artificial Intelligence

2025-10-08

Abstract excerpt

<title>Abstract</title> <p>The use of artificial intelligence (AI) with electrocardiogram (ECG) data has shown promise in detecting atrial fibrillation (AF). Although single-lead ECGs allow convenient and simple rhythm monitoring, arrhythmias prediction using AI is limited due to single-channel utilization. We aimed to improve the capability of AI algorithms for AF identification in integrated models with 12-lead...

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Literature Corpus work
da2bed51-0f1e-5b50-81f4-168f4228fe42
DOI
10.21203/rs.3.rs-7462212/v1
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Identifying Atrial Fibrillation using Integrated Methods of 12-lead and Single-lead ECG during Normal Sinus Rhythm based on Artificial IntelligenceDOI 10.21203/rs.3.rs-7462212/v1
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