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: Eko Ihsanto, Kalamullah Ramli, Dodi Sudiana, Teddy Surya Gunawan
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Applied Sciences
Subjects:
depthwise separable convolution (dsc)
all convolutional network (acn)
batch normalization (bn)
ensemble convolutional neural network (ecnn)
electrocardiogram (ecg)
mit-bih database
Online Access:https://www.mdpi.com/2076-3417/10/2/483

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https://www.mdpi.com/2076-3417/10/2/483

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