Automatic Classification of CAD ECG Signals With SDAE and Bidirectional Long Short-Term Network

Automatic Classification of CAD ECG Signals With SDAE and Bidirectional Long Short-Term Network

Coronary artery disease (CAD) has been one of main causes of heart diseases globally. The electrocardiogram (ECG) is a widely used diagnostic tool to monitor patients' heart activities, and medical personnel need to judge whether there are abnormal heartbeats according to captured results. Ther...

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Bibliographic Details
Main Authors: Eric Ke Wang, Xun Zhang, Leyun Pan
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Arrythmia
bidirectional long short-term term network (Bi-LSTM)
cost-sensitive learning
denoise
electrocardiogram (ECG)
stacked denoising autoencoder (SDAE)
Online Access:https://ieeexplore.ieee.org/document/8807206/

Internet

https://ieeexplore.ieee.org/document/8807206/

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