An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks

An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks

Many algorithms have been developed for automated electrocardiogram (ECG) classification. Due to the non-stationary nature of the ECG signal, it is rather challenging to use traditional handcraft methods, such as time-based analysis of feature extraction and classification, to pave the way for machi...

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Bibliographic Details
Main Authors: Ihsanto, Eko, Ramli, Kalamullah, Sudiana, Dodi, Gunawan, Teddy Surya
Format: Article
Language:English
Published: MDPI 2020
Subjects:
TK7885 Computer engineering
Online Access:http://irep.iium.edu.my/78347/
http://irep.iium.edu.my/78347/1/78347_An%20Efficient%20Algorithm%20for%20Cardiac%20Arrhythmia.pdf

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