Automatic cardiac arrhythmias classification using CNN and attention‐based RNN network

Automatic cardiac arrhythmias classification using CNN and attention‐based RNN network

Abstract Cardiac disease has become a severe threat to public health according to the government report. In China, there are 0.29 billion cardiac patients and early diagnosis will greatly reduce mortality and improve life quality. Electrocardiogram (ECG) signal is a priority tool in the diagnosis of...

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Bibliographic Details
Main Author: Jie Sun
Format: Article
Language:English
Published: Wiley 2023-06-01
Series:Healthcare Technology Letters
Subjects:
attention
bidirectional GRU
cardiac arrhythmia
convolutional neural network
electrocardiogram (ECG)
Online Access:https://doi.org/10.1049/htl2.12045

Internet

https://doi.org/10.1049/htl2.12045

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