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Analysis of acupuncture point signal using Wavelet Transform and higher-order statistical method

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3 Author(s)
Zi-Min Wang ; Sch. of Electron. Eng., Xidian Univ., Xi''an, China ; Yong-Hong Tan ; Mi-Yong Su

In this paper, the wavelet transform and higher-order statistical methods were introduced to the analysis of the acupuncture point signals and contrastive non-acupoint signals, i.e. the signals acquired from the Lung Channel of Hand-Taiyin (LU), the Pericardium Channel of Hand-Jueyin (PC) and some other contrastive non-acupoints. Then, the bi-spectrum analysis is implemented on the measured signals. The obtained results of the bi-spectrum analysis showed that obvious difference could be found on the magnitude of the bi-spectrum and the distribution in frequency between the acupoint and the contrastive non-acupoint signals. The experiments and analysis show that the meridian system is a channel allowing the electric signals to pass through easily.

Published in:

Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on

Date of Conference:

23-25 Oct. 2009