• 제목/요약/키워드: identification and diagnosis

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팔강변증(八綱辨證)에 대한 비교 연구 - 장개빈(張介賓).정국팽(程國彭).강함돈(江涵暾)을 중심으로 - (A Comparative Research of Eight Principle Pattern Identification - based on Zhang Jie-Bin, Cheng Guo-Peng, and Jiang Han-Tun -)

  • 김진호
    • 대한한의학원전학회지
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    • 제26권2호
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    • pp.47-59
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    • 2013
  • Objective : Syndrome differentiation(辨證) has clinical importance in East Asian Traditional Medicine. There are several ways for Syndrome differentiation. However, Eight Principle Pattern Identification(八綱辨證) is the base of other Syndrome differentiations. Of the physicians focused on Eight Principle Patterns(八綱), I have researched for Eight Principle Pattern Identification concerning with Zhang Jie-Bin(張介賓), Cheng Guo-Peng(程國彭), and Jiang Han-Tun(江涵暾) in Ming(明) and Qing(淸.) Method : Applying to Eight Principle Pattern Identification, I have researched comparatively for 3 kinds for. First, Zhang Jie-Bin's Jingyuequanshu(景岳全書) that involves Yinyangpian(陰陽篇), Liubianbian(六變辨), Biaozhengpian(表證篇), Lizhengpian(裏證篇), Xushipian(虛實篇), and Hanrepian(寒熱篇), secondly, Cheng Guo-Peng's Yixuexinwu(醫學心悟) Hanrexushibiaoliyinyangbian(寒熱虛實表裏陰陽辨), at lastly Jiang Han-Tun's Bihuayijing(筆花醫鏡) Biaolixushihanreyinyangbian(表裏虛實寒熱辨). Results : All of sick cases can be explained totally by Eight Principle Patterns. Of Eight Principle Patterns, Yin(陰) and Yang(陽) include last Six Principle Patterns(六綱 : 表裏, 寒熱, 虛實). Six Principle Patterns can be divided normally by 6 pulses(六脈 : 浮沈 遲數 虛實). In all of pain cases, feeling comfortable(可按) or discomfortable(拒按) to palpation can be important foundation for distinguishing Xu(虛) from Shi(實). Physical constitution(體質) for Hanre Xushi(寒熱 虛實) and tongue-diagnosis(舌診) for Biaoli Hanre(表裏 寒熱) are used effectively. Related with tongue-diagnosis, tongue-coating(舌苔) for Biaoli and tongue status(舌質) for Hanre are used effectively. Symptoms should be divided following this sequence, Biaoli ${\rightarrow}$ Hanre ${\rightarrow}$ Xushi and lastly should be summarized of Yinyang. Conclusion : Diagnosing with Eight Principle Patterns, digestive function, urine, and feces should be checked at first. In addition, the pulse, tongue, physical constitution, and good or bad from palpation(觸診), these should be checked and give a result. And then the result can be an important evidence of syndrome differentiation. As a result, it would be the best to diagnosis that discriminating the sequence as Biaoli Hanre Xushi and summarizing with Yinyang.

건강 증진을 위한 평소 증상 기반의 한열변증 설문지 개발 - 일치도를 중심으로 (Development on the Questionnaire of Cold-Heat Pattern Identification Based on Usual Symptoms for Health Promotion - Focused on Agreement Study)

  • 배광호;윤영흠;여민경;김호석;이영섭;이시우
    • 대한예방한의학회지
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    • 제20권2호
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    • pp.17-26
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    • 2016
  • Objectives : We presented the results of reliability study in advance, and analyzed agreement between Korean medicine doctors(KMDs)' diagnosis and cold-heat pattern identification questionnaire(CHPI)'s diagnosis. Methods : This survey was conducted from May 16 to 17, 2015. The subjects were 93 adults living in rural society. Diagnosis of CHPI was performed by 2 KMDs who have clinical experience more than 5 years. The KMDs' diagnosis was set as a reference index, and then we compare 23 items(cold pattern 11 items and heat pattern 12 items) of CHPI questionnaire and 15 items(cold pattern 8 items and heat pattern 7 items) that were brief form of it. We had cut-off value by standard of KMDs' diagnosis using receiver operating characteristic-curve(ROC-curve), with which we calculated agreement including kappa value. Correlation analysis between CHPI evaluation score by KMDs and by the questionnaire was fulfilled as well. Results : Agreement about 11 and 8 cold pattern items showed 87.1% together, and the value of kappa each recorded 0.742 and 0.741. Agreement about 12 and 7 heat pattern items suggested 81.7% and 78.5%, and the value of kappa showed 0.634 and 0.570. Correlation coefficients were 0.803 of 11 items and 0.761 of 8 items about cold pattern. In addition, correlation coefficients were 0.789 of 12 items and 0.767 of 7 items about heat pattern. The significant probability (p-value) was under 0.001. Conclusions : We have developed CHPI questionnaire involving reliability and agreement based on usual symptoms, and hope additional complements so that Korean medicine diagnostics and Korean preventive medicine would be improved.

미지입력을 포함한 시스템의 관측기 기반 견실고장진단 및 재구성 적응제어 (Observer-Based Robust Fault Diagnosis and Reconfigurable Adaptive Control for Systems with Unknown Inputs)

  • 최재원;이승우;서영수
    • 제어로봇시스템학회논문지
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    • 제8권11호
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    • pp.928-934
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    • 2002
  • A natural way to cope with fault tolerant control (FTC) problems is to modify the control parameters according to an online identification of the system parameters when a fault occurs. However. due to not only difficulties Inherent to the online multivariable identification in closed-loop systems, such as modeling errors, noise or the lack of excitation signals, but also long time requirement to identify the post-fault system and implemeutation of control problems during the identification process, we propose an alternative approach based on the observer-based fault detection and isolation (FDI) and model reference adaptive control (MRAC). The proposed robust fault diagnosis method is based on a bank of observers. We also propose a model reference adaptive control with changeable reference models according to the occurred faults. Simulation results of a flight control example show the validity and applicability of the proposed algorithms.

신경회로망을 이용한 볼 베어링의 결함진단 (Defects Diagnosis of Ball Bearings by Neural Network)

  • 양보석;최성필;최원호;김진욱
    • Journal of Advanced Marine Engineering and Technology
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    • 제18권5호
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    • pp.36-45
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    • 1994
  • This paper describes how to identify standard numbers and to diagnose defects of the ball bearings. The first stage of the networks is a procedures for identifying standard numbers of the bearings, and the next stage carries out the diagnosis of defects on the outer race and the inner race of bearings. The identification and the diagnosis of bearings were carried out by simulations and experiments.

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Some Worthy Signal Processing Techniques for Mechanical Fault Diagnosis

  • Chan, Jin
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 춘계학술대회논문집
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    • pp.39-52
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    • 2002
  • Research Direction The significant research direction in mechanical fault diagnosis area: Theorles and approaches for fault feature extracting and fault classification. Identification Complicated fault generating mechanism and its model Intelligent fault diagnosis system (including the expert system and network based remote diagnosis system) One of the Key Points: Fault feature extracting techniques based on (modern) signal processing(omitted)

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Cardiomyopathies in children

  • Hong, Young Mi
    • Clinical and Experimental Pediatrics
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    • 제56권2호
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    • pp.52-59
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    • 2013
  • Cardiomyopathy (CMP) is a heterogeneous disease caused by a functional abnormality of the cardiac muscle. CMP is of 2 major types, dilated and hypertrophic, and is further classified as either primary or secondary. Secondary CMP is caused by extrinsic factors, including infection, ischemia, hypertension, and metabolic disorders. Primary CMP is diagnosed when the extrinsic factors of secondary CMP are absent. Furthermore, the World Health Organization, American Heart Association, and European Cardiology Association have different systems for clinically classifying primary CMP. Primary CMP is rare and associated with a family history of the disease, implying that genetic factors might affect its incidence. In addition, the incidence of CMP varies widely according to patient ethnicity. Genetic testing plays an important role in the care of patients with CMP and their families because it confirms diagnosis, determines the appropriate care for the patient, and possibly affects patient prognosis. The diagnosis and genetic identification of CMP in patients' families allow the possibility to identify novel genes that may lead to new treatments. This review focuses on the epidemiology, pathophysiology, diagnosis, and treatment of CMP, with the aim of providing pediatricians with insights that may be helpful in the early identification and management of idiopathic CMP in children.

전류신호 해석에 의한 유도전동기 결함추출 연구 (A Study on Fault Detection of Induction Motor Using Current Signal Analysis)

  • 한상보;황돈하;강동식;손종덕
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2007년도 춘계학술대회 논문집
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    • pp.274-279
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    • 2007
  • The fault identification of electrical rotating machinery have been special interests due to one of important elements in the industrial production line. It is directly related with products quality and production costs. The sudden breakdown of a motor will affect to the shut down of the whole processes. Therefore, rotating machines are required to a periodic diagnosis and maintenance for improving its reliability and increasing their lifetime. The objective of this work is to develop the diagnosis system with current signals for the effective identification of healthy and faulty motors using the developed diagnosis algorithm, which consists of the feature calculation, feature extraction, and feature classification procedures.

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기계구동계의 작동상태 진단을 위한 지능형 시스템의 개발 (Development of Intelligent System for Moving Condition Diagnosis of the Machine Driving System)

  • 박흥식
    • 한국생산제조학회지
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    • 제7권4호
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    • pp.42-49
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    • 1998
  • This wear debris can be harvested from the lubricants of operating machinery and its morphology is directly related to the damage to the interacting surface from which the particles originated. The morphological identification of wear debris can therefore provide very early detection of a fault and can also often facilitate a diagnosis. The purpose of this study is to attempt the developement of intelligent system for moving condition diagnosis of the machine driving system. The four shape parameter(50% volumetric diameter, aspect, roundness and reflectivity) of war debris are used as inputs to the neural network and learned the moving condition of five values(material3, applied load 1, sliding distance 1). It is shown that identification results depend on the ranges of these shape parameter learned. The three kinds of the wear debris had a different pattern characteristics and recognized the moving condition and materials very well by neural network.

The Reverse Proteomics for Identification of Tumor Antigens

  • Lee, Sang-Yull;Jeoung, Doo-Il
    • Journal of Microbiology and Biotechnology
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    • 제17권6호
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    • pp.879-890
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    • 2007
  • The identification of tumor antigens is essential for the development of anticancer therapeutic vaccines and clinical diagnosis of cancer. SEREX (serological analysis of recombinant cDNA expression libraries) has been used to identify such tumor antigens by screening sera of patients with cDNA expression libraries. SEREX-defined antigens provide markers for the diagnosis of cancers. Potential diagnostic values of these SEREX-defined antigens have been evaluated. SEREX is also a powerful method for the development of anticancer therapeutics. The development of anticancer vaccines requires that tumor antigens can elicit antigen-specific antibodies or T lymphocytes. More than 2,000 antigens have been discovered by SEFEX. Peptides derived from some of these antigens have been evaluated in clinical trials. This review provides information on the application of SEREX for identification of tumor-associated antigens (TAA) for the development of cancer diagnostics and anticancer therapeutics.

중풍환자의 변증분형을 위한 설진에 관한 연구 (Study of Tongue Diagnosis for Pattern Identification in Stroke Patients)

  • 박세욱;강경원;강병갑;김정철;김보영;고미미;최동준;조현경;이인;설인찬;조기호;최선미
    • 동의생리병리학회지
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    • 제22권1호
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    • pp.262-266
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    • 2008
  • We plan to make the standardization of the pattern identifications for stroke and differentiate them by tongue diagnosis. We make a case report form which has questionnaires for tongue diagnosis in stroke patients. And we collected cases from the multi center network which consists of twelve university hospitals and one local hospital. The cases confirmed by diagnosis of medical specialists and residents are 321 cases. They are divided into Qi Defficiency 30.84%, Dampness& Phlegm 25.55%, Fire & Heat 22.43%, Eum Defficiency 18.69% and Blood Stasis 2.49%. We analyzed the markers which classified into the color of tongue body, the color of fur, the quality of fur, the dryness of tongue, the shape of tongue. To make a stroke pattern identification standard, we must try variable ways.