Ignition Pattern Analysis for Automotive Engine Trouble Diagnosis Using Wavelet Packet Transform and Support Vector Machines

Engine spark ignition is an important source for diagnosis of engine faults.Based on the waveform of the ignition pattern,a mechanic can guess what may be the potential malfunctioning parts of an engine with his/her experience and handbooks.However,this manual diagnostic method is imprecise because many spark ignition patterns are very similar.Therefore,a diagnosis needs many trials to identify the malfunctioning parts.Meanwhile the mechanic needs to disassemble and assemble the engine parts for verification.To tackle this problem,an intelligent diagnosis system was established based on ignition patterns.First,the captured patterns were normalized and compressed.Then wavelet packet transform（WPT） was employed to extract the representative features of the ignition patterns.Finally,a classification system was constructed by using multi-class support vector machines（SVM） and the extracted features.The classification system can intelligently classify the most likely engine fault so as to reduce the number of diagnosis trials.Experimental results show that SVM produces higher diagnosis accuracy than the traditional multilayer feedforward neural network.This is the first trial on the combination of WPT and SVM to analyze ignition patterns and diagnose automotive engines.

Chinese Medicine Pattern Diagnosis Could Lead to Innovation in Medical Sciences

Chinese medicine （CM） pattern diagnosis （Bianzheng or syndrome differentiation）, as another patient classification approach, has been incorporated with biomedicine diagnosis in clinical practice in China, and the clinical experience has proven that the integration of biomedicine and CM is better in the treatment of many diseases. CM pattern diagnosis is completely different from the diagnosis in biomedicine, and it must take an active role in innovation for medical sciences. This paper is trying to discuss how CM pattern diagnosis lead to innovations in basic research, clinical research and new drug discovery. Scientific basis of CM pattern in innovation of basic research, clinical efficacy and safety, CM pattern based clinical trial design, CM pattern and clinical practice guideline in innovation of clinical study, CM pattern based indication finding, and CM pattern based network pharmacology in innovation of new drug discovery have been discussed.

Artificial Neural Network Applied to Quality Diagnosis

In this paper, we first make a brief review on the fundamental properties of artificial neural networks (ANN) and the basic models, and explore emphatically some potential application of artificial neural networks in the area of product quality diagnosis, prediction and control, state supervision and classification, factor recognition, and expert system based diagnosis, then set up the ANN models and expert system for quality forecasting, monitoring and diagnosing. We point out that combining ANN with other techniques will have the broad development and application of perspectives. Finally, the paper gives out some practical applications for the models and the system.

Clinical distribution and molecular profiling on postoperative colorectal cancer patients with different traditional Chinese medicine syndromes

Background:Traditional Chinese medicine(TCM)syndrome,also named syndrome,are comprehensive and integral analyses of clinical information which helps to guide different individualized treatment prescriptions.Methods:Thirty healthy controls and 80 colorectal cancer(CRC)patients(including 33 Spleen Qi Deficiency syndrome,23 Dampness Heat syndrome,17 Blood Stasis syndrome and 7 other syndrome)were enrolled into this study.Human mRNAs were extracted from peripheral blood mononuclear cells.The gene expression for CRC patients with different TCM syndrome was determined by microarray and qRT-PCR.Results:Spleen Qi Deficiency,Dampness Heat and Blood Stasis were the most common syndromes in CRC patients.There is a significant difference was found in mRNA expression levels(especially for PIK3CA,STAT3,SOX9 and KDM5C)among Spleen Qi Deficiency,Dampness Heat and Blood Stasis syndrome groups.The higher mRNA levels of JNK1,TP53,MLH1,MSH6,PMS2,SOCS3,TCF7L2,FAM123B,PSAP,FBXW7,SALL4 and the lower expression of inflammatory cytokine IL-6 were found in Spleen Qi Deficiency group but not other syndrome types.The higher mRNA levels of KRAS,MUC16,EGFR,GRASP65,PIK3CA,MAPK7,CD24,STAT3,SLC11A1,Bcl-2,TXNDC17 and some inflammatory cytokines(IL-6,IL-23,TNF-a,CXCR4)were found in Dampness Heat group but not other syndrome types.Blood Stasis syndrome showed higher expression of SOX9,MLH1,MSH6,KDM5C,PCDH11X,PSAP and SALL4,and lower mRNA levels of PIK3CA,CD24,STAT3,CXCR4,TXNDC17 and TP53.The CRC patients with Dampness Heat syndrome might have a poor prognosis than other syndrome types.Conclusion:The identification of syndrome conditions had different impacts on CRC prognosis,and which might be related with different mRNA expression levels.Some oncogenes and pro-inflammatory cytokines were highly expressed in Dampness Heat group but not other syndrome types,suggesting that the CRC patients with Dampness Heat syndrome might have a poor prognosis.Our results prelimitarily uncovered the molecular basis of syndrome differences in CRC prognosis,a better understanding for TCM treatment of CRC.

A Systematic Analysis of the Theory and Practice of Syndrome Differentiation

Syndrome differentiation is a methodology unique to Chinese medicine. It threads the diagnosis process with clinical treatment into a holistic web of links to determine and regulate the patterns of dysfunctions in the human body. It is seen as the essence of Chinese medicine because it takes into account the theoretical principles, diagnostic methodologies and the modality of treatment holistically. In this process the progressive development and changes of syndromes are also considered by the physician. This paper is a systematic study of the methodology of syndrome differentiation in relation to its clinical applications in the treatment of diseases. To illustrate the efficacy of syndrome differentiation, the relationship between pattern identification and diseases is analysed to provide a guiding principle for integration between Chinese medicine and Western medicine. nclude cancer, cardiovascular and metabolic syndromes. A study of renal and hepatic Diseases being selected include cancer, cardiovascular and metabolic syndromes. A study of renal and hepatic diseases related to lifestyle is also included to highlight the clinical efficacy of syndrome differentiation. The paper also includes an analytical summary of the theoretical advancements made in integrative differentiation methodology during the past five decades which links to the recent clinical thinking and practice.

Potential of Renal Pathology on Refining Syndrome Typing of Chinese Medicine in IgA Nephropathy

Objective： To investigate the potential of renal pathological index as a differential diagnosis factor for Chinese medicine （CM） syndromes typing in IgA nephropathy （IgAN）. Methods： A total of 1,016 patients with IgAN was recruited from November 2001 to November 2004. All the signs and symptoms including picture of the tongue and pulse tracings were collected. All patients were typed according to the CM syndrome typing scheme for chronic primary glomerulopathy. The severity of glomerulus and tubulointerstitial lesions （mild, moderate- severe） were evaluated using lee＇s grading system and the Katafuchi score system. Results： The syndrome types transform in turn by deficiency of both the Spleen （Pi） and Lung （Fei） qi, deficiency of both qi and yin, deficiency of Liver （Gan） and Kidney （Shen） yin and deficiency of Spleen-Kidney （Shen） yang, with the aggravation of pathogenetic condition and that the manifestation of deficiency of qi clinically showed proliferative lesion of glomerular mesangium, while the glomerular sclerosis pathologically showed the manifestation of yin deficiency. Conclusion： Renal pathological findings may be a candidate of objective factors to refine CM syndrome typing process.