Jianjun Yan

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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)
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)
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)
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)
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)
The purpose of this paper is to study objective auscultation of traditional Chinese medicine using multi-instance multi-label (MIML) learning. The experiment data are the patients' speech samples of 5 vowels i.e. /a/,/o/,/e/,/i/,/u/. Each patient in the dataset may have one or both of the qi and yin deficiency syndromes. By regarding the 5 vowel samples(More)
Support vector machine is initially developed for binary classification problem. Multiclass support vector machine (MSVM) is usually realized by using a combination of several binary SVMs. In most of the existing MSVM approaches, all binary SVMs operates on the same feature space. This paper proposed a new approach in which each binary SVM is associated(More)