Generalization challenges in electrocardiogram deep learning: insights from dataset characteristics and attention mechanism

IF 1.6 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS

Future cardiology Pub Date : 2024-06-05 DOI:10.1080/14796678.2024.2354082

Zhaojing Huang, Sarisha MacLachlan, Leping Yu, Luis Fernando Herbozo Contreras, N. D. Truong, Antonio Horta Ribeiro, Omid Kavehei

引用次数: 0

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心电图深度学习中的泛化挑战：从数据集特征和注意力机制中得到的启示

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Future cardiology CARDIAC & CARDIOVASCULAR SYSTEMS-

CiteScore

2.80

自引率

5.90%

发文量

期刊介绍： Research advances have contributed to improved outcomes across all specialties, but the rate of advancement in cardiology has been exceptional. Concurrently, the population of patients with cardiac conditions continues to grow and greater public awareness has increased patients" expectations of new drugs and devices. Future Cardiology (ISSN 1479-6678) reflects this new era of cardiology and highlights the new molecular approach to advancing cardiovascular therapy. Coverage will also reflect the major technological advances in bioengineering in cardiology in terms of advanced and robust devices, miniaturization, imaging, system modeling and information management issues.