Jianjun Yan

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As the traditional diagnosis in traditional Chinese medicine, wrist pulses reflect the condition of the cardiovascular system which contains much nonlinearity. The linear analysis might not provide the enough useful information for the wrist pulse signals any more, so it is proposed the combination of wavelet packet and recurrence quantification plot(More)
A practical method is proposed to segment the wrist pulse waveform and estimate the average waveform. Some key issues that would affect the performance of the tasks are addressed. A zero-phase filtering was used to accommodate low frequency variations and high frequency noise without the phase-shift distortion, and a moving-window adaptive threshold based(More)
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,(More)
In Traditional Chinese Medicine (TCM), most of the algorithms used to solve problems of syndrome diagnosis are superficial structure algorithms and not considering the cognitive perspective from the brain. However, in clinical practice, there is complex and nonlinear relationship between symptoms (signs) and syndrome. So we employed deep leaning and(More)
Numerous researchers have taken the solid step forward towards the objectification research of Traditional Chinese Medicine (TCM) four diagnostic methods. However, it is deficient in studies on information fusion of the four diagnostic methods. We establish four-diagnosis syndrome differentiation model of TCM based on information fusion technology. The(More)
Digital auscultation of Traditional Chinese Medicine (TCM) is a relatively new technology which has been developed for several years. This system makes diagnoses by analyzing sound signals of patients using signal processing and pattern recognition. The paper discusses TCM auscultation in both traditional and current digital auscultation methods. First,(More)
The purpose of this paper is to study the objective auscultation of Traditional Chinese Medicine utilizing the wavelet analysis theory and two novel parameters. Digital auscultation information, which are the voice samples in this paper were analyzed using wavelet analysis. Two parameters including the energy ratio and max power ratio were proposed as the(More)
Objective. This research provides objective and quantitative parameters of the traditional Chinese medicine (TCM) pulse conditions for distinguishing between patients with the coronary heart disease (CHD) and normal people by using the proposed classification approach based on Hilbert-Huang transform (HHT) and random forest. Methods. The energy and the(More)
The distinctive characteristic of Wavelet Transform (WT) is that it can well characterise the local information of signals in time-frequency domain, and Wavelet Packet Transform (WPT) has a more subtle decomposition method than WT. The purpose of this paper is to analyse the auscultation signals in Traditional Chinese Medicine (TCM) utilising WPT and(More)