| Traditional Chinese medicine all along receives publicity for its unique diagnostic method and particularly curative effects. With the development of sensor and computer technology, people hope to apply modern technology to human pulse diagnosis to reveal the essence and features of pulse phenomena scientifically, which is the main research aspect in this paper.This paper deduced the theorems and formulas of the wavelet transform, and discussed the physics meaning of them, applied and proved them in the processing of the pulse signals. At the same time, multiresolution analysis in matrix form is given to get the clear idea of the wavelet coefficients and the scalar coefficients, which lays the foundation in the processing of the pulse signals.This paper also deduced the theorems and formulas of the neural networks, and gave especial research on algorithm of the probabilistic neural network, which is much helpful for the model recognition.Wavelet transform is a good analytical method both in the time and the frequency domains, especially applicable for non-stationary signal processing. In this paper we analyze pulse signals of 15 heroin addicts and 15 healthy persons using the multiresolution analysis of wavelet transform. By means of the wavelet coefficients and scalar coefficients of the wavelet transform, we found the significant difference between the heroin addicts and the healthy persons, a primary criterion for measuring off the heroin addicts and the healthy persons was obtained. Based on this criterion, the 15 healthy persons were identified and 1 heroin addicts were misjudged.After analyzing the pulse signals using the multiresolution method, this paper also uses the probabilistic neural network to identify the 30 pulse signals. Because of the good recognition behavior of the probabilistic neural network, the 15 pulse signals from the heroin addicts are well picked up, with excellent results to the end. |
PDF Full Text Request