Research of Assistant Diagnosis System for Arrhythmias
10.3969/j.issn.1005-202X.2010.02.011
- VernacularTitle:心律失常辅助诊断系统的研制
- Author:
Xiaoli CHEN
;
Zhencheng CHEN
;
Fubin LIU
- Publication Type:Journal Article
- Keywords:
ECG;
wavelet transform;
arrhythmia;
rough set;
fuzzy neural network
- From:
Chinese Journal of Medical Physics
2010;27(2):1741-1746
- CountryChina
- Language:Chinese
-
Abstract:
Objective: Develop an assistant diagnosis system for arrhythinias which can reduce doctors' workload and improve their veracity of diagnosing ECG. Methods: Firstly, this paper achieves filter and detection of waves using wavelet transform and extracts parameters; Secondly, it reduces parameters using rough set and identifies arrhythmias according to relevant rules; At last, it gets the membership of abnormal heart beat by fuzzy neural network. Results: The main modules such as filter, detection of waves and identification of arrhythmias are achieved well, and a complete system is formed. Conclusions: This system can identify nineteen arrhythmaias and get their membership and position. It could assist doctors in making the proper diagnosis on ECG potentially.
