Unveiling the secrets of neural network scaling for ECG classification

We present a new perspective on scaling neural networks for electrocardiograms (ECG). Although ResNet-based models are widely used in ECG classification, the potential benefits of network scaling remain unexplored. Our research investigates the impact of changes in the depth of layers, the number of...

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Bibliographic Details
Main Authors: Byeong Tak Lee, Joon-myoung Kwon, Yong-Yeon Jo
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Informatics in Medicine Unlocked
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Online Access:http://www.sciencedirect.com/science/article/pii/S2352914825000279
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