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ISSN:2394-3661 | Crossref DOI | SJIF: 5.138 | PIF: 3.854

International Journal of Engineering and Applied Sciences

(An ISO 9001:2008 Certified Online and Print Journal)

Research on Objective Auscultation of TCM Using Wavelet Packet and Support Vector Machine

( Volume 4 Issue 11,November 2017 ) OPEN ACCESS
Author(s):

Jianjun Yan, Xiaojing Shen

Abstract:

The goal of this study is to provide objective analysis and quantitative research for the auscultation in Traditional Chinese Medicine (TCM) using wavelet packet transform (WPT) and support vector machine (SVM). Based on WPT, the voice signals are decomposed into six layers wavelet coefficients. This paper proposed Shannon entropy as feature parameter extracted from wavelet packet coefficients to make analysis of health, qi-vacuity and yin-vacuity subjects. Then the feature values used as vectors were put into SVM to be trained and predicted, and the classification results showed that the overall accuracy of the health group, qi-vacuity group and yin-vacuity group reached to 80.84%. It is proved that our method is effective for auscultation research of TCM.

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