ECG-based heart arrhythmia classification using feature engineering and a hybrid stacked machine learning

ECG-based heart arrhythmia classification using feature engineering and a hybrid stacked machine learning

Abstract A heart arrhythmia refers to a set of conditions characterized by irregular heart- beats, with an increasing mortality rate in recent years. Regular monitoring is essential for effective management, as early detection and timely treatment greatly improve survival outcomes. The electrocardio...

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Bibliographic Details
Main Authors: Raiyan Jahangir, Muhammad Nazrul Islam, Md. Shofiqul Islam, Md. Motaharul Islam
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Cardiovascular Disorders
Subjects:
ECG
Heart arrhythmia
Machine learning
Stack classifier
Online Access:https://doi.org/10.1186/s12872-025-04678-9
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https://doi.org/10.1186/s12872-025-04678-9

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