Article

Heart Block Identification from 12-Lead ECG: Exploring the Generalizability of Self-Supervised AI

2024-10-17

Abstract excerpt

Timely diagnosis and treatment of heart blocks are critical for preventing fatal outcomes in patients with cardiac conduction disorders. Expert analysis of clinical 12-lead electro-cardiograms (ECG) remains the standard diagnosis apparatus. In this study, we propose a self-supervised deep learning model that can detect evidence of heart blocks in ECG signals. We build a multichannel residual neural network (KRes)...

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Literature Corpus work: 241494d7-cee2-5cb3-ac1e-7de9290d3d4c
DOI: 10.1101/2024.10.15.24315546

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