ECG Arrhythmia Classification based on Convolutional Autoencoders and Transfer Learning

An Electrocardiogram (ECG) is a test that is done with the objective of monitoring the heartâs rhythm and electrical activity. It is conducted by attaching a specific type of sensor to the subjectâs skin to detect the signals generated by the heartbeats. These signals can reveal significant informat...

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Bibliographic Details

Published in:	Majlesi Journal of Electrical Engineering
Main Authors:	Rasool Muayad Obaidi, Riam Abdul Sattar, Mayada Abd, Inas Amjed Almani, Tawfeeq Alghazali, Saad Ghazi Talib, Muneam Hussein Ali, Mohammed Q. Mohammed, Tuqaa Abid Mohammad, Mariam Raheem Abdul-Sahib
Format:	Article
Language:	English
Published:	OICC Press 2022-09-01
Subjects:	convolutional autoencoders Deep learning efficientnet. heart arrhythmia classification Electrocardiogram (ECG) transfer learning
Online Access:	https://oiccpress.com/mjee/article/view/4961