文献类型：期刊文献

英文题名：Nonlinear noise reduction of auscultation signal analysis in traditional Chinese medicine

作者：Gu, Zhongyan[1]; Yan, Jianjun[2]; Mao, Siyuan[1]; Wang, Yiqin[3]; Li, Fufeng[3]; Xia, Chunming[2]; Guo, Rui[3]; Shen, Qingwei[1]; Yan, Haixia[3]

机构：[1] East China University of Science and Technology, Shanghai, China; [2] Center for Mechatronics Engineering, East China University of Science and Technology, Shanghai 200237, China; [3] Faculty of Basic Medicine, Shanghai University of TCM, Shanghai 201203, China

年份：2010

起止页码：977

外文期刊名：2010 8th IEEE International Conference on Control and Automation, ICCA 2010

收录：EI(收录号：20104213298166)

语种：英文

外文关键词：Nonlinear analysis - Signal denoising - Diagnosis - Reliability analysis

摘要：The auscultation diagnosis of TCM means to use the correspondence of five kinds of sounds to find out the lesion in the five internal organs. The signal of the auscultation is always accompanied by noise. Unfortunately, the common filters can only denoise in the linear signals. In this paper, the noise is reduced by the locally projective algorithm in the nonlinear signals. Using Grassberger-Procaccia algorithm to calculate correlation dimension, the correlation dimension of the signal after the denoise is lower than that of original signal. The results show that the method well reproduces the nonlinear characteristics of the corrupted signal. The accuracy and reliability of the signal could be improved in TCM signal analysis by nonlinear denoise. ? 2010 IEEE.