Cross-Database Learning Framework for Electrocardiogram Arrhythmia Classification Using Two-Dimensional Beat-Score-Map Representation

Cross-database electrocardiogram (ECG) classification remains a critical challenge due to variations in patient populations, recording conditions, and annotation granularity. Existing methodologies for ECG arrhythmia classification have primarily utilized datasets with either fine-grained or coarse-...

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Bibliographic Details
Published in:	Applied Sciences
Main Authors:	Jaewon Lee, Miyoung Shin
Format:	Article
Language:	English
Published:	MDPI AG 2025-05-01
Subjects:	ECG arrhythmia classification cross-database weakly supervised learning
Online Access:	https://www.mdpi.com/2076-3417/15/10/5535

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