Dense Convolutional Networks With Focal Loss and Image Generation for Electrocardiogram Classification
In this paper, we propose a novel end-to-end learnable architecture based on Dense Convolutional Networks (DCN) for the classification of electrocardiogram (ECG) signals. This architecture is based on two main modules: the first is a generative module and the second is a discriminative one. The task...
Main Authors: | Mohamad Mahmoud Al Rahhal, Yakoub Bazi, Haidar Almubarak, Naif Alajlan, Mansour Al Zuair |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8933368/ |
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