Morphological Arrhythmia Classification Based on Inter-Patient and Two Leads ECG Using Machine Learning

Morphological Arrhythmia Classification Based on Inter-Patient and Two Leads ECG Using Machine Learning

Arrhythmia is a heart disorder in which the heart beats irregularly. Electrocardiogram (ECG) has been widely used as a tool for detecting arrhythmias. However, the interpretation of ECG recordings is still tedious, time-consuming, and a difficult task since it needs beat-by-beat manual examination....

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Bibliographic Details
Main Authors: Hasballah Zakaria, Elsa Sari Hayunah Nurdiniyah, Astri Maria Kurniawati, Dziban Naufal, Nana Sutisna
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
ECG
morphological arrhythmia
arrhythmia classification
inter-patient
machine learning
Online Access:https://ieeexplore.ieee.org/document/10697167/
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