Stacked Variational Autoencoder in the Classification of Cardiac Arrhythmia using ECG Signals with 2D-ECG Images

Cardiac Arrhythmia is an endangered signal to human life. Most arrhythmias are shortfalls of symptoms. Electrocardiogram (ECG) is a non-invasive, low-priced, and powerful tool to record the electrical signals of the heart and detect severe cardiovascular diseases. ECG interpretation is generally don...

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Bibliographic Details

Published in:	2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) pp. 222 - 226
Main Authors:	Nithya, S, Rani, M. Mary Shanthi
Format:	Conference Proceeding
Language:	English
Published:	IEEE 22.09.2022
Subjects:	2DECG Arrhythmia Deep learning ECG Electrocardiography Heart beat Image resolution Sensitivity Stacked Variational Autoencoder Technological innovation Training
Online Access:	Get full text
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