Review of few-shot learning in arrhythmia detection
10.19745/j.1003-8868.2025151
- VernacularTitle:少样本学习在心律失常检测中的应用综述
- Author:
Dai-nan GAN
1
;
Xiao-lin ZHAN
1
;
Li HUANG
1
;
Jia LI
1
Author Information
1. 五邑大学电子与信息工程学院,广东 江门 529020
- Publication Type:Journal Article
- Keywords:
few-shot learning;
arrhythmia;
metric learning;
transfer learning;
data augmentation
- From:
Chinese Medical Equipment Journal
2025;46(8):104-112
- CountryChina
- Language:Chinese
-
Abstract:
The advantages of few-shot learning in arrhythmia detection were introduced.The research progress of few-shot learning strategies,including metric learning,transfer learning and data augmentation,was reviewed when applied to arrhythmia detection.The limitations of few-shot learning in arrhythmia detection were analyzed.It was pointed out that the graph neural network and new incremental learning techniques would be involved in the future development of few-shot learning in arrhythmia detection.[Chinese Medical Equipment Journal,2025,46(8):104-112]
