A Multi-Level Multiple Contrastive Learning Method for Single-Lead Electrocardiogram Atrial Fibrillation Detection

A Multi-Level Multiple Contrastive Learning Method for Single-Lead Electrocardiogram Atrial Fibrillation Detection

Atrial fibrillation (AF) is the most common persistent arrhythmia, and it is crucial to develop generalizable automatic AF detection methods. However, supervised AF detection is often limited in performance due to the difficulty in obtaining labeled data. To address the gap between limited labeled d...

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Bibliographic Details
Main Authors: Yonggang Zou, Peng Wang, Lidong Du, Xianxiang Chen, Zhenfeng Li, Junxian Song, Zhen Fang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Bioengineering
Subjects:
atrial fibrillation
deep learning
electrocardiogram (ECG)
contrastive learning (CL)
Online Access:https://www.mdpi.com/2306-5354/12/1/44
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