文献类型：期刊文献

英文题名：The objective auscultation research on traditional chinese medical using two novel parameters

作者：Yan, Jianjun[1]; Shen, Yong[1]; Xia, Chunming[1]; Wang, Yiqin[2]; Li, Fufeng[2]; Guo, Rui[2]

机构：[1] Center for Mechatronics Engineering, East China University of Science and Technology, Shanghai 200237, China; [2] TCM Syndrome Lab., Shanghai University of TCM, Shanghai 201203, China

年份：2010

卷号：1

起止页码：V1572

外文期刊名：2010 International Conference on Computer Design and Applications, ICCDA 2010

收录：EI(收录号：20103413185883)

语种：英文

外文关键词：Wavelet analysis - Medicine - Computation theory

摘要：The purpose of this paper is to study the objective auscultation of Traditional Chinese Medicine utilizing the wavelet analysis theory and two novel parameters. Digital auscultation information, which are the voice samples in this paper were analyzed using wavelet analysis. Two parameters including the energy ratio and max power ratio were proposed as the feature parameters. The used voice samples including: qi-deficiency, yin-deficiency, and health subjects are decomposed into ten layers of wavelet decomposition coefficients. Based on these coefficients, the parameters corresponding to the ranges of the frequency were obtained for every sample. Then the parameters with significant differences among different kinds of signals were studied in order to find the feature information contained in the three kinds of auscultation signals. ? 2010 IEEE.