NDLI: Nonlinear Analysis of Auscultation Signals in TCM Using the Combination of Wavelet Packet Transform and Sample Entropy

Content Provider	PubMed Central
Author	Yan, Jian-jun Wang, Yi-qin Guo, Rui Zhou, Jin-zhuan Yan, Hai-xia Xia, Chun-ming Shen, Yong
Copyright Year	2012
Abstract	Auscultation signals are nonstationary in nature. Wavelet packet transform (WPT) has currently become a very useful tool in analyzing nonstationary signals. Sample entropy (SampEn) has recently been proposed to act as a measurement for quantifying regularity and complexity of time series data. WPT and SampEn were combined in this paper to analyze auscultation signals in traditional Chinese medicine (TCM). SampEns for WPT coefficients were computed to quantify the signals from qi- and yin-deficient, as well as healthy, subjects. The complexity of the signal can be evaluated with this scheme in different time-frequency resolutions. First, the voice signals were decomposed into approximated and detailed WPT coefficients. Then, SampEn values for approximated and detailed coefficients were calculated. Finally, SampEn values with significant differences in the three kinds of samples were chosen as the feature parameters for the support vector machine to identify the three types of auscultation signals. The recognition accuracy rates were higher than 90%.
Related Links	http://dx.doi.org/10.1155/2012/247012
Starting Page	247012
File Format	PDF
ISSN	17414288
e-ISSN	17414288
Journal	Evidence-based Complementary and Alternative Medicine : eCAM
Volume Number	2012
Language	English
Publisher	Hindawi Publishing Corporation
Publisher Date	2012-01-01
Access Restriction	Open
Rights Holder	Hindawi Publishing Corporation
Subject Keyword	Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Complementary and Alternative Medicine

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