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/

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