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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Main Authors: | Ihsanto, Eko, Ramli, Kalamullah, Sudiana, Dodi, Gunawan, Teddy Surya |
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Format: | Article |
Language: | English |
Published: |
MDPI
2020
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Subjects: | |
Online Access: | http://irep.iium.edu.my/78347/1/78347_An%20Efficient%20Algorithm%20for%20Cardiac%20Arrhythmia.pdf http://irep.iium.edu.my/78347/ https://www.mdpi.com/2076-3417/10/2/483/htm https://doi.org/10.3390/app10020483 |
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