Jian-jun Yan

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OBJECTIVE To analyze the diagnostic consistency of Chinese medicine (CM) specialists in patients with cardiovascular disease and to study syndrome classification and identification based on the multi-label learning method. METHODS Using self-developed CM clinical scales to collect cases, inquiry information, complexity, tongue manifestation and pulse(More)
OBJECTIVE To explore potential application of diatom test of lung tissue in investigation of cause of death in victim found in the water. METHODS Four hundred and seven cases were collected and analyzed for cause of death and the nature of case. Diatom test was performed in tissues and the amount was quantified. Forty-five rabbits died in the water(More)
Background. In Traditional Chinese Medicine (TCM), most of the algorithms are used to solve problems of syndrome diagnosis that only focus on one syndrome, that is, single label learning. However, in clinical practice, patients may simultaneously have more than one syndrome, which has its own symptoms (signs). Methods. We employed a multilabel learning(More)
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(More)
OBJECTIVE By using recurrence quantification analysis (RQA) to analyze traditional Chinese medicine pulse signals of patients with coronary heart disease (CHD), this study aims to find nonlinear dynamic parameters of pulses to distinguish patients with CHD from normal subjects. METHODS First, pulse signals were collected using ZBOX-I pulse digitization(More)
This study was conducted to illustrate that nonlinear dynamic variables of Traditional Chinese Medicine (TCM) pulse can improve the performances of TCM Zheng classification models. Pulse recordings of 334 coronary heart disease (CHD) patients and 117 normal subjects were collected in this study. Recurrence quantification analysis (RQA) was employed to(More)
OBJECTIVE To provide more objective basis for traditional Chinese medicine (TCM) syndrome differentiation of deficiency and excess by collecting and analyzing voice signals and extracting characteristic parameters. METHODS All of 308 samples including 150 samples of qi-deficiency, 52 yin-deficiency, 55 excess and 51 normal were collected by "Voice(More)
OBJECTIVE To investigate forensic diagnosis application of three-dimentional reconstruction with spiral computed tomography in fracture of anatomical complicated bones. METHODS Selected eleven patients of bone fracture who were examined with SCT 3D and conventional X-ray examination. The location, number and characteristics were observed and analyzed. (More)
In this paper, factors contributing to the formation of pulse wave were analyzed based on hemodynamic principles. It is considered that formation of pulse wave was related to its propagation and reflection characteristics. Propagation of the pulse wave was characterized by pulse wave velocity, and reflection of the pulse wave was characterized by reflection(More)