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Machine Learning, Deep Learning, and Hybrid Approaches for ECG-Based Cardiac Arrhythmia Detection: Techniques, Challenges, and Future Perspectives

2026-05-19

Abstract excerpt

<title>Abstract</title> <p>Purpose: This study provides a systematic review of Cardiac Arrhythmia (CA) detection, which is a major subtype of Cardiovascular Disease (CVD), using traditional Machine Learning (ML), Deep Learning (DL), and hybrid techniques. The study mainly aims to address several important research questions (RQs), including the importance of early CA detection, recent research trends, commonly us...

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Literature Corpus work: e6335295-ee66-579b-8979-0f7eff9dd05e
DOI: 10.21203/rs.3.rs-9703446/v1

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