Blending Ensemble Learning Model for 12-Lead Electrocardiogram-Based Arrhythmia Classification

The increasing prevalence of heart diseases has driven the development of automated arrhythmia classification systems using machine learning and electrocardiograms (ECGs). This paper presents a novel ensemble learning method for classifying multiple arrhythmia types using 12-lead ECG signals through...

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Bibliographic Details

Published in:	Computers
Main Authors:	Hai-Long Nguyen, Van Su Pham, Hai-Chau Le
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Subjects:	machine learning ensemble learning blending electrocardiogram arrhythmia classification
Online Access:	https://www.mdpi.com/2073-431X/13/12/316