Paper Info
Title
Nonlinear noise reduction of auscultation signal analysis in Traditional Chinese Medicine
Abstract
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.
Year
DOI
Venue
2010
10.1109/ICCA.2010.5524150
ICCA
Keywords
Field
DocType
correlation dimension,signal denoising,traditional chinese medicine,auscultation signal analysis,nonlinear noise reduction,nonlinear denoise,medical signal processing,grassberger-procaccia algorithm,medical diagnostic computing,correlation methods,noise reduction,acoustic noise,testing,noise,correlation,signal analysis
Noise reduction,Noise,Signal processing,Nonlinear system,Pattern recognition,Control theory,Speech recognition,Correlation,Correlation dimension,Artificial intelligence,Engineering,Auscultation
Conference
Volume
Issue
ISSN
null
null
1948-3449 E-ISBN : 978-1-4244-5196-8
ISBN
Citations 
PageRank 
978-1-4244-5196-8
0
0.34
References 
Authors
1
9
Name
Order
Citations
PageRank
Zhongyan Gu120.76
Jianjun Yan2237.20
Siyuan Mao301.01
Yiqin Wang45716.28
Fufeng Li5339.74
Chunming Xia62410.70
Rui Guo7237.16
Qingwei Shen821.72
Haixia Yan9319.47