Method for ECG classification based on the neural network.
- Author:
Jing-Zhou ZHANG
1
;
Chen LI
;
Ting LI
;
Liang-Xiao ZHANG
Author Information
1. Department of Automatic Control, Northwestern Polytechnical University, Xi'an.
- Publication Type:Journal Article
- MeSH:
Arrhythmias, Cardiac;
classification;
Electrocardiography;
classification;
methods;
Neural Networks (Computer)
- From:
Chinese Journal of Medical Instrumentation
2008;32(3):183-214
- CountryChina
- Language:Chinese
-
Abstract:
The article adopts the BP neural network and probability neural network in classifying four arrhythmias (LBBB, RBBB, Paced Beat, Ventricular Escape Beat) and one normal beat, and their test results of the automatic classification and imitation study are 97.62% and 95.88%, showing an improved efficient classification.
