Research on the application of neural network to diagnosis of cardiopathy.
- Author:
Xinbao NING
1
;
Xiaolin HUANG
;
Yinlin XU
;
Guiming HAN
Author Information
1. State Key Laboratory of Modern Acoustics, Institute of Biomedical Electronical Engineering, Electronic Science and Engineering Department, Nanjing University, Nanjing 210093, China. xbning@nju.edu.cn
- Publication Type:Journal Article
- MeSH:
Algorithms;
Coronary Disease;
diagnosis;
Electrocardiography;
Humans;
Image Processing, Computer-Assisted;
Neural Networks (Computer)
- From:
Journal of Biomedical Engineering
2004;21(2):284-287
- CountryChina
- Language:Chinese
-
Abstract:
Neural networks can fit any nonlinear function. After drawing out several characteristic parameters from the three-dimension spectrum for high frequency QRS waves, we input them into the network and trained the network. In this way, we can get a m-dimension curved surface in the m-dimension space which is constructed by those parameters, and this curved surface divides the space into two parts: the unhealthiness and the health. Now, the network can automatically distinguish between the healthiness and the unhealthiness according to their three-dimension spectrum for high frequency QRS waves.
