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In this paper, wavelet packet energy entropy (WPEE) and support vector machine (SVM) were utilized to detect and classify auscultation signals in Traditional Chinese Medicine (TCM). The auscultation signals of health and qi-vacuity and yin-vacuity subjects were collected from the outpatient by Shanghai University of TCM. And the wavelet packet decomposition (WPD) at level 6 was employed to split more...
Chinese medical physicians obtain the patient's syndroms through inspection, auscultation and olfaction, inquiring, palpation(called si zhen in Chinese); and diagnose disease though 'syndrome differentiation'. Acquirement and integration of si zhen information are implemented according to personal knowledge and experience, which will lead to TCM diagnosis to be affected by subjective factors inevitably...
This study aims at utilizing mutual information algorithm to make an objective and quantitative research for the pulses in Traditional Chinese Medicine (TCM) diagnosis. The normal pulse signals, slippery pulse signals and taut pulse signals were collected from the outpatients by Shanghai University of TCM. Some typical pulse signals from all these classes were selected as the templates to be matched...
Auscultation is one of the Four Diagnosis Methods in traditional Chinese medicine (TCM). It has been researched through various methods, including digital techniques. This paper is aimed to review studies using digital signal processing techniques in recent years. Two kinds of methods (traditional methods and nonlinear methods) were illuminated briefly, including principles, main parameters and algorithms...
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