Hai-Xia Yan

Shanghai University of Traditional Chinese Medicine, Shanghai, Shanghai Shi, China

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Publications (12)6.34 Total impact

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    ABSTRACT: 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.
    Chinese journal of integrative medicine. 07/2014;
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    ABSTRACT: This study was conducted to illustrate that auscultation features based on the fractal dimension combined with wavelet packet transform (WPT) were conducive to the identification the pattern of syndromes of Traditional Chinese Medicine (TCM). The WPT and the fractal dimension were employed to extract features of auscultation signals of 137 patients with lung Qi-deficient pattern, 49 patients with lung Yin-deficient pattern, and 43 healthy subjects. With these features, the classification model was constructed based on multiclass support vector machine (SVM). When all auscultation signals were trained by SVM to decide the patterns of TCM syndromes, the overall recognition rate of model was 79.49%; when male and female auscultation signals were trained, respectively, to decide the patterns, the overall recognition rate of model reached 86.05%. The results showed that the methods proposed in this paper were effective to analyze auscultation signals, and the performance of model can be greatly improved when the distinction of gender was considered.
    Evidence-based complementary and alternative medicine : eCAM. 01/2014; 2014:502348.
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    ABSTRACT: 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 acquire nonlinear dynamic variables of pulse. TCM Zheng models in CHD were constructed, and predictions using a novel multilabel learning algorithm based on different datasets were carried out. Datasets were designed as follows: dataset1, TCM inquiry information including inspection information; dataset2, time-domain variables of pulse and dataset1; dataset3, RQA variables of pulse and dataset1; and dataset4, major principal components of RQA variables and dataset1. The performances of the different models for Zheng differentiation were compared. The model for Zheng differentiation based on RQA variables integrated with inquiry information had the best performance, whereas that based only on inquiry had the worst performance. Meanwhile, the model based on time-domain variables of pulse integrated with inquiry fell between the above two. This result showed that RQA variables of pulse can be used to construct models of TCM Zheng and improve the performance of Zheng differentiation models.
    Evidence-based Complementary and Alternative Medicine 01/2013; 2013:602672. · 1.72 Impact Factor
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    ABSTRACT: To explore the changes in metabolites in the greasy tongue coating in patients with chronic gastritis. Forty chronic gastritis patients presenting with greasy tongue coating, 30 chronic gastritis patients presenting with non-greasy tongue coating, and 20 healthy control persons presenting with light red tongues and thin white coating were enrolled, and the tongue coating was detected by combining artificial diagnosis and the Z-BOX Tongue Digital Analyzer's diagnosis. Samples of all the tongue coatings were collected before treatment. The metabolic fingerprinting of the tongue coating samples was obtained using ultra-performance liquid chromatography and mass spectrometry (UPLC-MS), and the metabolic components in the tongue coating samples were detected. After this, principal component analysis, partial least squares discriminant analysis and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to identify potential metabolic markers. Finally, the components were identified using the Chemspider and HMDB searching. UPLC-MS results were analyzed by OPLS-DA and showed that the metabolites among the three groups were distributed in different regions. The different potential metabolic markers between the patients with or without greasy coating were 3-ketolactose, 2-deoxy-D-ribose, UDP-D-galactose metarhodopsin, ascorbate, picolinate and histidine. The different potential metabolic markers between the greasy coating group and the normal group were 3-ketolactose, UDP-D-galactose, leukotriene A4 and vitamin D(2). The metabolites of the greasy coating group, the non-greasy coating group and the normal group show significant differences in energy metabolism, mainly of glucose metabolism. This demonstrated that glucose metabolism may be one of the mechanisms leading to the formation of greasy coating.
    Journal of Chinese Integrative Medicine 07/2012; 10(7):757-65.
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    ABSTRACT: Systemic lupus erythematosus (SLE) is an autoimmune disease, with multiple genetic and environmental factors involving in its etiology. Angiotensin converting enzyme (ACE) gene was reported to have important roles in the development and progression of SLE. In this study, a case-control study was carried out to investigate the effects of seven SNPs and I/D in ACE gene in the development of SLE in Northern China. Seven SNPs including A5466C, T3892C, A240T, C1237T, G2215A, A2350G and C3409T were genotyped by PCR-RFLP method, and I/D was examined by agarose gel electrophoresis followed PCR directly. 314 SLE patients were compared to 320 normal controls in the study. Data were analyzed by SPSS 13.0 and HaploView software. The frequency distribution of SNP A2350G and Alu I/D and five haplotypes (AAAACCCI, AGAACCTD, AAAATCTI, TAAATTTI and TAAATCTI) were demonstrated to be different between case and control groups significantly. Whereas other SNPs and haplotypes had no differences in two cohorts. The results revealed that variations of ACE gene had association with SLE, which indicated ACE gene may play an important role in pathogenesis of SLE in Northern Chinese Han population.
    Molecular Biology Reports 06/2012; 39(10):9485-91. · 2.51 Impact Factor
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    ABSTRACT: 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 auscultation signals in traditional Chinese medicine (TCM). SampEns for WPT coefficients were computed to quantify the signals from qi- and yin-deficient, as well as healthy, subjects. The complexity of the signal can be evaluated with this scheme in different time-frequency resolutions. First, the voice signals were decomposed into approximated and detailed WPT coefficients. Then, SampEn values for approximated and detailed coefficients were calculated. Finally, SampEn values with significant differences in the three kinds of samples were chosen as the feature parameters for the support vector machine to identify the three types of auscultation signals. The recognition accuracy rates were higher than 90%.
    Evidence-based Complementary and Alternative Medicine 01/2012; 2012:247012. · 1.72 Impact Factor
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    ABSTRACT: 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 objective detection instruments of four-diagnostic method are applied to collect four-diagnosis objective information of 506 cases of clinical heart-system patients. Then multiple information fusion methods are adopted to establish recognition model of syndromes. The results of our experiments show that recognition rates of the six syndromes using multi-label learning is better than OCON artificial neural network and multiple support vector machine.
    International Journal of Data Mining and Bioinformatics 01/2011; 5(4):369-82. · 0.39 Impact Factor
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    ABSTRACT: 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 coefficient. Pulse wave velocity and reflection coefficient were proposed as the eigenvectors of pulse wave in pulse diagnosis of traditional Chinese medicine, and support vector machine (SVM) was used to recognize slippery pulse, stringy pulse and plain pulse. Pulse wave velocity and reflection coefficient of the slippery, stringy and plain pulses in healthy people were calculated in this study, and SVM with Gaussian radial basis function was used for classifying. Results showed that pulse wave velocity and reflection coefficient with physiological and pathological significance had advantages in distinguishing slippery pulse, stringy pulse and plain pulse, which offered a new idea for recognizing pulse condition.
    Journal of Chinese Integrative Medicine 08/2010; 8(8):742-6.
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    ABSTRACT: Purpose: The analysis of syndrome distribution and the association between syndrome-syndrome in chronic gastritis (CG) patients can provide references for research about Traditional Chinese Medicine (TCM) diagnosis and treatment of CG. Method: This paper applies the investigation method of clinical epidemiology, adopts probability statistics method and comes up with the concept of associated density to conduct association analysis of syndromes. Result: In the distribution of syndromes patients who have a single syndrome occupy 64.7% of the whole sample; patients who have two syndromes make up 32.2%; the situation that 3 syndromes happen at the same time has a percentage of 1.3%.spleen-stomach qi deficiency syndrome and liver qi stagnation syndrome are closely associated. Conclusion: Liver and spleen are the main disease locations of CG and these two organs are associated with and influenced each other in physiology and pathology.
    01/2010;
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    ABSTRACT: In this study, we collected cases by means of uniform Information- Collection Scale of Inquiry Diagnosis for Cardiovascular Diseases in TCM. The diagnostic criteria were established, and each case was interpreted by associate chief physician or senior doctor. The value “1 or 0” was assigned to “with or without” information. By using Epidate 3.1, the information collected was entered by two persons and twice each, and the database was established. Dialectical deduction research of inquiry diagnosis for cardiovascular diseases on the basis of RBF nerve network was conducted. The RBF nerve network parameters were determined after many experiments: (1) velocity was between 0.1-5; (2) target error was 0.00001. The result showed that the overall precision rate was as high as 88.86% for identification of syndromes of cardiovascular diseases in TCM on the basis of RBF nerve network. The precision rate for RBF nerve network to recognize syndromes of TCM was rather high, which could provide theoretical and technical support for the objectivity and standardization study of syndromes of TCM.
    01/2010;
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    ABSTRACT: To observe the changes of tongue and pulse parameters in lung cancer patients after combined treatment with integrated traditional Chinese and Western medicine, and to probe into the application of the tongue and pulse parameters in evaluation of integrated traditional Chinese and Western medicine therapy on lung cancer patients. Electropulsograms and tongue pictures of 50 lung cancer patients were examined by TP-I digital electropulsography. The tongue and pulse parameters of the patients, including the indexes of moistness and dryness, thinness and thickness, fissure, swollenness and emaciation, greasiness and likeness of curd, and power spectral ratios (PSRs) 1, 2, 3, 4 and cepstrum spectral ratios (CSRs) 1, 2, 3, 4, were observed after 1-month and 2-month treatment with Yifei Kangliu Oral Liquid (a compound traditional Chinese herbal medicine) plus chemotherapy, respectively. The above parameters of the lung cancer patients were compared before and after the treatment. PSR1 increased, while PSR2 decreased significantly after 1-month and 2-month treatment as compared with before treatment (P < 0.05). PSR1 decreased, while PSR2 increased after 2-month treatment as compared with after 1-month treatment (P < 0.05). PSR4 after 1-month treatment was lower than before treatment (P < 0.05). The tongue parameters including the indexes of moistness and dryness, and greasiness and likeness of curd increased significantly after 1-month and 2-month treatment as compared with before treatment (P < 0.05). The index of thinness and thickness decreased, while the index of fissure increased significantly after 1-month treatment as compared with before treatment (P < 0.05). Tongue and pulse parameters can be regarded as one of reference indexes in evaluation of integrated traditional Chinese and Western medicine therapy on lung cancer patients.
    Journal of Chinese Integrative Medicine 04/2009; 7(3):218-22.
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    ABSTRACT: To develop an inquiry scale for diagnosis of heart system syndromes, and to discuss the provisional standardization of the inquiry method in traditional Chinese medicine (TCM). Based on scale-making method, Chinese medicine theory and literature searching, an inquiry scale for diagnosis of heart system syndromes in TCM was developed. Statistics method, frequency counting and Delphi method were used for analysis. The inquiry scale was revised and tested repeatedly to check the test reliability, internal consistency reliability, and content validity, etc. The inquiry scale for diagnosis of heart system syndromes mainly covered basic data, chief complaint, history of present illness (accompanying symptoms) and past history, with appendix of inspection and palpation information as well as diagnosis made according to traditional Chinese and Western medicine. Among them, general inquiries covered fever and chills, sweating, head-body and chest-belly symptoms, taste and diet, stool and urine, sleep, mood, and gynecologic symptoms, which were scaled in 8 dimensions. And 66 symptom variables were screened finally. The scale had a good content validity and its coefficient alpha was 0.82. For the results of test-retest reliability, the Kappa values of using the scale for diagnosis of heart-qi deficiency, heart-yang deficiency, turbid phlegm, and cold coagulation twice by the same doctor ranged from 0.74 to 1, showing that the consistency of the scale was relatively high. The Kappa values of evaluation of scorer reliability in diagnosis of heart-qi deficiency, heart-yang deficiency, and heart-yin deficiency were also high, which were 0.63, 0.72, 1 and 0.48 respectively. Other results of diagnosis had low-consistency or even no diagnostic agreement. The research on the scale for inquiry in TCM indicates that it is feasible for the standardization of inquiry scale for diagnosis of heart system syndromes in TCM, offering a reference for research on the inquiry scales for other systems.
    Journal of Chinese Integrative Medicine 02/2009; 7(1):20-4.