[Research on the application of neural network to diagnosis of cardiopathy].
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.
Ning
Xinbao
X
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
Huang
Xiaolin
X
Xu
Yinlin
Y
Han
Guiming
G
D000465:Algorithms; D003327:Coronary Disease / Q000175:diagnosis*; D004562:Electrocardiography; D006801:Humans; D007091:Image Processing, Computer-Assisted; D016571:Neural Networks, Computer