Advanced deep learning framework for ECG arrhythmia classification using 1D-CNN with attention mechanism
Cardiovascular diseases, particularly cardiac arrhythmias, remain a leading cause of global mortality, necessitating efficient and accurate diagnostic tools. Despite advances in deep learning for ECG analysis, current models face challenges in cross-population performance, signal noise robustness, l...
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Published in | Knowledge-based systems Vol. 315; p. 113301 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
22.04.2025
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Subjects | |
Online Access | Get full text |
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