Original paper
Recurrence Plot-Based Approach for Cardiac Arrhythmia Classification Using Inception-ResNet-v2
Abstract
The present study addresses the cardiac arrhythmia (CA) classification problem using the deep learning (DL)-based method for electrocardiography (ECG) data analysis. Recently, various DL techniques have been utilized to classify arrhythmias, with one typical approach to developing a one-dimensional (1D) convolutional neural network (CNN) model to handle the ECG signals in the time domain. Although the CA classification in the time domain is very...
Paper Details
Title
Recurrence Plot-Based Approach for Cardiac Arrhythmia Classification Using Inception-ResNet-v2
Published Date
May 17, 2021
Journal
Volume
12
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Notes
History