Analysis of sound signal of five internal organs based on wavelet packet

In this paper, the wavelet packet transform is introduced to analyze the signal of TCM auscultation. To accomplish this, the energy feature of the signal is extracted after the signal is decomposed by the wavelet packet transform. Then the energy feature is analyzed by the nonparametric test. The five vowels /a:/, /e:/, /i:/, /o:/, /u:/ are analyzed in respectively. In each vowel, the samples are divided into two groups. One is analyzed by Mann-Whitey U algorithm in each two illness and the other is analyzed by K-S algorithm in six illness. The result of the analysis shows that the energy features of sound signal for different vowels have obviously difference in different frequency. So, combining with different vowels in all frequency, there is an obviously difference for each five organs illness in different frequency.