alexa A Construction Method and Application of Heart Sound Wa
ISSN: 2320-2459

Research & Reviews: Journal of Pure and Applied Physics
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Research Article

A Construction Method and Application of Heart Sound Wavelet Neural Network

Cheng XF1*, Fu NT1, Yong MA2

1College of Electronic Science & Engineering, Nanjing University of Posts and Telecommunications, Nanjing, 210003 China.

2School of Computer Science, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210094 China.

*Corresponding Author:
Cheng XF
College of Electronic Science & Engineering
Nanjing University of Posts and Telecommunications
Nanjing, 210003 China
Tel: 86-025-83482264
E-mail: [email protected]

Received Date: 15/10/2015; Accepted Date: 24/06/2016; Published Date: 26/06/2016

 

Abstract

Constructing a targeted wavelet neural network is an effective method to enhance network performances and recognition effect. By introducing heart sounds wavelet of neural network hidden layer as the activation function, heart sound targeted learning and recognition technology are integrated deeply, to obtain a new heart sounds wavelet neural network. Selecting normal heart sounds and premature beats heart sound signals as the experimental objects, accuracy of recognition rate of heart sounds reached 97%. Compared with Morlet wavelet neural network and Mexicanhat wavelet neural network, the heart sound wavelet neural network shows obvious superiority on algorithm speed and convergence in heart sound recognition.

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