Review of deep learning for arrhythmia detection
10.19745/j.1003-8868.2024038
- VernacularTitle:深度学习在心律失常检测中的应用综述
- Author:
Li HUANG
1
;
Ding-Jian CAI
;
Shi-Kang LING
;
Hao OUYANG
;
Jia LI
Author Information
1. 五邑大学智能制造学部,广东江门 529020
- Keywords:
deep learning;
arrhythmia;
single-lead ECG;
multi-lead ECG
- From:
Chinese Medical Equipment Journal
2024;45(2):105-112
- CountryChina
- Language:Chinese
-
Abstract:
The current situation of deep learning applied to single-and multi-lead ECG detection of arrhythmia was reviewed.The problems of deep learning during the application in generalization,interpretability and time complexity were analyzed,and the countermeasures were put forward accordingly.It's pointed out deep learning would be applied widely in arrhythmia ECG detection with the development of the algorithm,dataset and hardware.[Chinese Medical Equipment Journal,2024,45(2):105-112]
