Li Fufeng

Facial Complexion Acquisition and Recognition System for Clinical Diagnosis in Traditional Chinese Medicine

This paper introduces a standard acquisition environment and a recognition method for clinical facial complexional diagnosis in Traditional Chinese Medicine (TCM). Firstly, collected the information of facial complexion in an environment with different artificial light source, the color value of face was extracted and compared with diagnostic conclusion from clinical experts in natural light environment. Experiment results show that the Light Emitting Diode (LED) met the requirement of acquisition environment well. Then, based on the theory of TCM, five-color classification of observational scale in complexion diagnosis was defined, an automatic analysis system was developed for assistant facial complexion-based diagnosis, which standardized the facial complexion-based and avoids depending on the physician’s experience and environment. This study may be helpful in promoting quantitative analysis in TCM

Feature Extraction for Pulse Waveform in Traditional Chinese Medicine by Hemodynamic Analysis

Pulse diagnosis is one of important diagnosis methods in Traditional Chinese Medicine(TCM). Feature extraction of TCM pulse has received more and more attention in recent years. While most of previous methods for feature extraction of TCM pulse have no specific correlation with the mechanism of TCM pulse, a hemodynamics method was used to calculate the pulse waveform velocity(PWV) and pulse reflection factor(R) , which reflected the principle of TCM pulse diagnosis. The results showed that the PWV and R are significantly different among four TCM pulses including normal pulse, slippery pulse, wiry pulse and wiry-slippery pulse. It is concluded that the PWV and R may be used as the features for the classification of TCM pulses.

Clinical Distribution of Traditional Chinese Medicine Syndromes on Cardiovascular Diseases

Abstract This study aimed at analyzing the clinical distribution of traditional Chinese medicine (TCM) syndrome on cardiovascular diseases and at providing the basis for clinical diagnosis and treatment. Cases of cardiovascular disorder were collected on the basis of unified scales. Syndrome differentiation criteria were used in the identification of the scales. Then the distribution of TCM syndromes on cardiovascular diseases was analyzed. There were 3021 cases, including 1677 cases (55.51%) of heart-qi deficiency, 603 cases (19.96%) of heart- yang deficiency, 699 cases (23.14%) of heart-yin deficiency, 1121 cases (37.11%) of phlegm accumulation, 1624 cases (53.76%) of blood stagnation, and 2057 cases (68.10%) of the syndrome of mixed deficiency and excess. There were 517 cases (17.11%) with only deficiency syndromes and 447 cases (14.80 %) with only excess syndromes. The syndrome of the zang-fu organ is mostly related to the kidney and the spleen. It is concluded that the common clinical distribution of TCM syndromes on cardiovascular diseases is the syndrome of mixed deficiency and excess, which includes heart-qi deficiency, heart-yang deficiency, and heart-yin deficiency and excess syndromes of phlegm accumulation, blood stagnation, and qi stagnation.

Concordance of Diagnosis Based on Zangfu-Organs Syndrome Differentiation by Clinicians of Traditional Chinese Medicine

Objective: We aimed to assess concordance of Zangfu-organs Syndrome Differentiation by evaluating the concordance of successive diagnosis by the same clinician of traditional Chinese medicine (TCM) and that of diagnosis by different clinicians of TCM. Methods: Twenty-five cases were randomly selected and 2 copies were made from the numerical data collected through Inquiry Scale for Diagnosis of Heart System Syndromes made by our research team. The copies were disorganized and renumbered form 1 to 50. In order to evaluate the concordance of successive diagnosis by the same clinician, 2 TCM experts were invited to differentiate the syndrome and diagnose for the 50 cases by double-blind method. Fifteen cases were randomly selected. Three TCM clinicians were invited to make a diagnosis basing on Zangfu-organs syndrome differentiation, in order to evaluate the concordance of diagnosis by different clinicians. Kappa test was adopted. Results: For the same case scale, the results of successive diagnosis by the same clinician showed that, Kap concordance coefficient for syndrome of deficiency of heart qi was 0.69, that for syndrome of deficiency of heart yang was 0.80, that for syndrome of deficiency of heart yin was 0.28, that for syndrome of deficiency of heart blood was 0.33, that for syndrome of turbid phlegm was 0.78, that for syndrome of blood stasis was 0.33, that for syndrome of qi stagnation was 0.54, that for syndrome of hyperactivity of heart fire was 0.52, and that for syndrome of cold coagulation was 0.72. The results of diagnosis by different clinicians showed that, Kap concordance coefficient for syndrome of deficiency of heart qi was 0.63, that for syndrome of deficiency of heart yang was 0.72, that for syndrome of deficiency of heart yin was 0.48, that for syndrome of turbid phlegm was 0.03, that for syndrome of blood stasis was 0.14, and that for syndrome of qi stagnation was 0.17. Conclusion: Diagnosis by the same clinician and different clinicians varied, indicating a poor concordance of diagnosis basing on Zangfu-organs syndrome differentiation.

Study on Proteinum in Clear Supernatant Liquid of Tongue Coating of Chronic Renal Failure Based on Protein Chip

This study aimed at screening proteinum markers of tongue coating related to chronic renal failure (CRF) and at establishing the predictive model by comparing differences of protein spectrum expression in clear supernatant liquid of tongue coating between CRF patients and normal controls in order to explore the significance of proteinum in clear supernatant liquid in the diagnosis of CRF. Clear supernatant liquid of tongue-coating samples collected from 67 CRF patients and 38 normal controls was used in the study. The proteinum markers of tongue coating were selected according to CRF with the SELDI-TOF-MS technique. The predictive model was established and verified by bioinformatics analysis. The tongue-coating samples of the 67 CRF patients and 38 normal samples in the control group were determined by the SELDI-TOF-MS technique. All 242 proteinum peaks were detected at 1000–20000 e/m. Overall, 13 distinct mass spectrum peaks were analyzed by bioinformatics and displayed statistical significance (P < 0.01). Seven distinct mass spectrum peaks, such as M/Z1092.68 and M/Z1508.26, show high expression in the CRF group. Six distinct mass spectrum peaks, such as M/Z13302.5 and M/Z14330.7, show low expression in the CRF group. Fuzzy-grouping algorithm was used in the fuzzy-grouping analysis and principal component analysis (PCA) between the CRF group and normal control group. The result showed discrimination, but was partly overlapping. The predictive model of CRF was analyzed and established by bioinformatics with biological markers that comprise seven distinct mass spectrum peaks, such as M/Z1049.61, M/Z1076.94, M/Z15295.7, and so on. The predictive model can be used in the sample classification between the CRF group and normal control group (The sensitivity of the predictive model is 61.4%; the specificity is 57.3%; and the predictive exactitude rate is 64.4%). It can be concluded that using the SELDI-TOF-MS technique, the proteinum markers of tongue coating of CRF have been preliminarily screened. The established predictive model provides objective evidence for the study on CRF diagnosis.

Association Analysis on Pulse Graph Characters of Coronary Heart Disease and Its Blood-Fat and Thrombin

Abstract The study was aimed at exploring the relationship between pulse graph characters and its blood-fat and thrombin among coronary heart disease (CHD) patients. Pathological and physiological indexes had been searched for correlation with pulse graph parameters. Pulse detection system was applied in the collection of pulse graph among CHD patients, and pulse characters were analyzed with time domain method. Blood-fat and thrombin indexes were checked. Canonical correlation was used in the analysis of relationship between pulse graph characters and its blood-fat and thrombin in CHD patients. The results showed that, among the ingredients of blood-fat, change in low-density lipoprotein was closely related to t and t5/t4 of pulse graph in CHD. They were positively correlated. There was no obvious correlation between pulse graph characters and thrombin indexes. However, it was concluded that some correlation exists between the parameters of pulse graph and blood-fat indexes.