Method for Solving Difficulties in Rhythm Classification Caused by Few Samples and Similar Characteristics in Electrocardiograms

A method for accurately analyzing electrocardiograms (ECGs), which are obtained from electrical signals generated by cardiac activity, is essential in heart disease diagnosis. However, rhythms are typically obtained with relatively few data samples and similar characteristics, making them difficult...

Full description

Bibliographic Details

Published in:	Bioengineering
Main Authors:	Jaewon Lee, Miyoung Shin
Format:	Article
Language:	English
Published:	MDPI AG 2023-02-01
Subjects:	ECG rhythms rhythm classification deep learning convolutional neural network (CNN)
Online Access:	https://www.mdpi.com/2306-5354/10/2/196