ECG Arrhythmia Classification based on Convolutional Autoencoders and Transfer Learning

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
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
Series:Majlesi Journal of Electrical Engineering
Subjects:
convolutional autoencoders
Deep learning
efficientnet. heart arrhythmia classification
Electrocardiogram (ECG)
transfer learning
Online Access:https://oiccpress.com/mjee/article/view/4961

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https://oiccpress.com/mjee/article/view/4961

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