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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI
2020
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/78347/ http://irep.iium.edu.my/78347/ http://irep.iium.edu.my/78347/ http://irep.iium.edu.my/78347/1/78347_An%20Efficient%20Algorithm%20for%20Cardiac%20Arrhythmia.pdf |