文献类型：会议论文

英文题名：Analysis of Sound Signal of Five Internal Organs Based on Wavelet Packet

作者：Yan, Jianjun[1];Mao, Siyuan[1];Xia, Chunming[1];Wang, Chao[1];Wang, Yiqin[2];Li, Fufeng[2];Guo, Rui[2];Chen, Chunfeng[2];Yan, Haixia[2]

机构：[1]East China Univ Sci & Technol, Ctr Mechatron Engn, Shanghai 200237, Peoples R China;[2]Shanghai Univ TCM, Ctr TCM Informat Sci & Technol, Shanghai 201203, Peoples R China

会议论文集：IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)

会议日期：DEC 18, 2010

会议地点：Hong Kong, PEOPLES R CHINA

语种：英文

外文关键词：energy; wavelet packet transform; TCM auscultation

摘要：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.