AI-Enhanced Reconstruction of the 12-Lead Electrocardiogram via 3-Leads with Accurate Clinical Assessment

Abstract excerpt

<h4>ABSTRACT</h4> The 12-lead electrocardiogram (ECG) is an integral component to the diagnosis of a multitude of cardiovascular conditions. It is performed using a complex set of skin surface electrodes, limiting its use outside traditional clinical settings. We developed an artificial intelligence algorithm, trained over 600,000 clinically acquired ECGs, to explore whether fewer leads as input are sufficient to...

Topics

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• Artificial Intelligence
• Atrial Fibrillation
• Atrial Fibrillation Management and Outcomes
• Deep Learning
• ECG Monitoring and Analysis
• Electrocardiography
• Genetic Predisposition to Disease
• Genome-Wide Association Study

Identifiers and source

Literature Corpus work

62e01ba2-afbd-5b52-b7d6-077a5d9e8fc3

DOI

10.1101/2024.01.30.24302001