The Application Of Wavelet Transform To The Analysis Of Pulse Signals

Traditional Chinese medicine is 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 wavelet packet transform, and discussed the physics meaning of them, applied and proved them in the processing of the pulse signals. This paper also deduced the definitions of the scale spectrum and time-wavelet energy spectrum, and proved the energy of the signals after wavelet transformed was equal to the square sum of the coefficients'modular.Wavelet transform is a good analytical method in the time domain and the frequency domain, 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 low-frequency scale spectrum of the wavelet transform, finding 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 2 heroin addicts were misjudged.This paper also uses the wavelet packet to analyze the pulse signals. By means of the scale spectrum of the wavelet packet transform, finding the significant difference between the heroin addicts and the healthy persons under some scale, some wavelet packet parameter and between some time-interval, 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 2 heroin addicts were misjudged.