• 제목/요약/키워드: Diagnostic Pattern

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『상한론(傷寒論)』 변병진단체계(辨病診斷體系)에 근거하여 소시호탕(小柴胡湯)을 투여한 양명병(陽明病) 아토피 피부염 치험 1례 (A Case Report of Atopic Dermatitis treated by Soshiho-tang based on Shanghanlun Provisions)

  • 민준홍;조소현
    • 대한상한금궤의학회지
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    • 제7권1호
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    • pp.75-85
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    • 2015
  • Objective : This case report presents the effect of Soshiho-tang on Atopic Dermatitis. The patient was diagnosed with Yangmyung-byung based on Shanghanlun provisions. Methods : According to Shanghanlun six meridian patterns diagnostic system, we dianosed the patient as Yangmyung-byung and he had trouble getting out of bed and nighttime itch. The patient was treated with Soshiho-tang. We evaluated the results of treatment by Objective SCORAD Index and pictures. Results : After the treatment, Objective SCORAD Index decreased from 61 to 21.5. And he became to have no trouble in getting up and also nighttime itch vanished. Conclusions : This case report sowed and effectiveness of using Soshiho-tang according to Diagnostic system based on Shanghanlun provisions on Atopic Dermatitis.

『상한론(傷寒論)』 변병진단체계(辨病診斷體系)에 근거하여 대황황련사심탕(大黃黃蓮瀉心湯)을 투여한 칸디다성 질염 치험 1례 (A Case Report of VulvoVaginal Candidiasis treated by Dahuanghuanglianxiexin-tang based on Shanghanlun provisions)

  • 최주영
    • 대한상한금궤의학회지
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    • 제7권1호
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    • pp.53-63
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    • 2015
  • Objective : This case report show the effect of Dahuanghuanglianxiexin-tang on VulvoVaginal Candidiasis. Methods : According to disease pattern identification diagnostic system based on shanghanlun provisions, The author diagnosed Taeyang-byung kyeolhyung. The symptoms of VulvoVaginal Candidiasis were worsen when the patient had long sitting position and digestive problems. Therefore the patient treated with Dahuanghuanglianxiexin-tang for 3 months. The severity of Candida Vaginitis was evaluated by patient's subjective statements(Vaginal pruritus, Vaginal secretion, Burning sensation). Results : After the treatment, Level of syptoms decreased from Severe to Trace and Eliminated. Conclusions : Dahuanghuanglianxiexin-tang improved the symptoms of VulvoVaginal Candidiasis on this study. Although Dahuanghuanglianxiexin-tang is not an usual treatment for VulvoVaginal Candidiasis, the author could prescribe the medicine due to shanghanlun six meridian patterns diagnostic system.

지연성 일산화탄소중독후유증 환자에서 $^{99m}Tc-HMPAO$를 이용한 국소 뇌혈류량의 SPECT소견 (Studies on the Regional Cerebral Blood Flow in Delayed Carbon Monoxide sequelae using $^{99m}Tc-HMPAO$)

  • 안재훈;이도연;김진수;서정호;김동익;이명식;정태섭;박찬희
    • 대한핵의학회지
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    • 제22권2호
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    • pp.163-170
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    • 1988
  • 8 patients of delayed CO sequelae were evaluated using Brain CT and $^{99m}Tc-HMPAO$ SPECT. The results were as follows; 1) CT findings of delayed CO sequleae were bilateral low density lesion in globus pallidus (l pt.), diffuse low density in white matter with bilateral low density in white matter (l pt.), diffuse low density in white matter with bilateral low density in globus pallidus (l pt.), diffuse low density in white matter with cortical atrophy (l pt.), bilateral low density in globus pallidus and diffuse low density in white matter with cortical atrophy (l pt.) and normal in 3 pts. 2) $^{99m}Tc-HMPAO$ Brain SPECT findings of delayed CO sequelae were decreased regional cerebral blood flow (rCBF) in frontal (1 among 8 pts.), frontal and basal ganglia (3 among 8 pts.), and diffuse patch decreased rCBF pattern (4 among 8 pts.) 3) $^{99m}Tc-HMPAO$ Brain SPECT study was well correlated with neurologic symptoms and signs in delayed CO sequelae. Our results may suggest that reduced cerebral blood flow contributes to the development of delayed CO sequelae.

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갱년기장애 진단기기 사용에 대한 지침 개발 : 문헌검토 및 설문조사 (Development of a Guideline for the Application of Diagnostic Devices for Menopausal Syndrome: Literature Review and Questionnaire Survey)

  • 백선은;박은지;김동일;이인선;유정은
    • 대한한방부인과학회지
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    • 제30권3호
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    • pp.65-78
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    • 2017
  • Objectives: This study was aimed to develop a guideline for the application of diagnostic devices for menopausal syndrome. Methods: We conducted a literature review and a questionnaire survey on diagnostic devices including Digital Infrared Thermal Imaging (DITI), pulse diagnosis device, Heart Rate Variability (HRV), body composition analyzer, Yangdorak. Results: We retrieved some clinical values for usage of devices from the articles. Especially, DITI was useful to identify the pattern of body temperature distribution. The respondents answered that they diagnosed menopausal syndrome by using body composition analyzer (62.3%), DITI (60%), HRV (60%), pulse diagnosis device (45.7%), Yangdorak (34.3%). The respondents answered that they don't use diagnostic devices when they diagnosed menopausal syndrome because of absence of device, cost, difficulty of interpretation, substitution of another diagnostic method. After experts survey, it was recommended to use DITI, HRV, body composition analyzer. There was no consensus on the use of pulse diagnosis device, Yangdorak in diagnosing menopausal syndrome. Conclusions: We developed a guideline for the application of diagnostic devices for menopausal syndrome.

신경회로망 및 ${\Delta}F$를 이용한 부분방전 패턴인식에 관한 연구 (A Study on the Pattern Recognition Using of HFPD the Neural Networks and ${\Delta}F$)

  • 임장섭;김덕근;김진국;노성호;김현종
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 추계학술대회 논문집 전기물성,응용부문
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    • pp.251-254
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    • 2004
  • The aging diagnosis technique using partial discharge detection method detects partial discharge signals cause of power equipment failuer and able to forecast the aging state of insulation system through analysis algorithm, in this paper accumulates HFPD signal during constant scheduled cycles to build HFPD pattern and then analyzes HFPD pattern using statistical parameters and ${\Delta}F$ pattern. The 3D pattern is composed of detected signal frequency, amplitude and repeated number and the FRPDA(frequency resolved partial discharge analysis) technique is used in 3D pattern construction. The ${\Delta}F$ pattern shows variation characteristics of amplitude gradient of consecutive HFPD signal Pulses and able to classify discharge types-internal discharge, surface discharge and coronal discharge etc. Fractal mathematics applied to ${\Delta}F$ pattern quantification and neural networks is used in aging diagnostic algorithm.

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설문 최적화를 통한 개방형 웹 변증 시스템 개발 (Development of a Web Based Pattern Identification System with Questionnaire Optimization)

  • 이재철;진희정
    • 동의생리병리학회지
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    • 제27권6호
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    • pp.827-831
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    • 2013
  • This study aims to develop a pattern identification system (PIS) for general users to check up their body condition. We collected previous 3 PI questionnaires, with internal consistency reliability or validity of the diagnosis by experts, through a field test. For defining weights of pattern indices, we applied the analytic hierarchy process (AHP) method with 11 experts. PIS receive two kinds of symptoms of users : body region based symptoms and core symptoms for PIS. PIS suggest possible patterns and health information on the basis of selected symptoms with analysis by AHP. This study showed PIS could be easily used for general user who wants to access Korean Medicine compared to conventional PI system. Furthermore, it could be utilized with mobile environment or as remote medicine care.

A Study on the Pattern Recognition Rate of Partial Discharge in GIS using an Artificial Neural Network

  • Kang Yoon-Sik;Lee Chang-Joon;Kang Won-Jong;Lee Hee-Cheol;Park Jong-Wha
    • KIEE International Transactions on Electrophysics and Applications
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    • 제5C권2호
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    • pp.63-66
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    • 2005
  • This paper describes analysis and pattern recognition techniques for Partial Discharge(PD) signals in Gas Insulated Switchgears (GIS). Detection of PD signals is one of the most important factors in the predictive maintenance of GIS. One of the methods of detection is electro magnetic wave detection within the Ultra High Frequency (UHF) band (300MHz $\~$ 3GHz). In this paper, PD activity simulation is generated using three types of artificial defects, which were detected by a UHF PD sensor installed in the GIS. The detected PD signals were performed on three-dimensional phi-q-n analysis. Finally, parameters were calculated and an Artificial Neural Network (ANN) was applied for PD pattern recognition. As a result, it was possible to discriminate and classify the defects.

T/A 변수를 이용한 표면근전도 간섭패턴의 정량적 해석에 관한 연구 (A Study on the Quantitative Analysis of Surface EMG Interference Pattern with T/A Variables)

  • 강원희;김성환;이진
    • 대한전기학회논문지:시스템및제어부문D
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    • 제54권5호
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    • pp.348-357
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    • 2005
  • We have tried to analyze the SEMG interference pattern quantitatively and automatically using T/A variables ZC, TN, mSA, mSD, UCA, AIPEA, ACT and NSS. For the analysis, we have carried out experiments on 14 SEMG interference patterns recorded from the biceps brachii, first dorsal interosseus and abductor policis brevis muscles. Emphasis was placed on the following 3 points in the experiments. 1) Suitable amplitude threshold for the automatic detection of the T/A variables. 2) Variation of the T/A variables to varying $\%$MVC. 3) Variation of the T/A variables to the sustained contraction for 30 seconds. Results of the experiments showed that T/A analysis of the SEMG interference Pattern can be effective tools for diagnostic purposes instead of the conventional NEMG method.

전력용 변압기 유중가스분석 결과와 동향 (A Result and Pattern of Dissolved Gases Analysis in Kepco)

  • 조성민;김재철;권동진;구교선
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 제38회 하계학술대회
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    • pp.95-96
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    • 2007
  • Dissolved gas analysis (DGA) is one of the most widely used diagnostic tools for detecting and evaluating faults in electrical equipment. However, interpretation of DGA results is often complex and should always be done with care, involving experienced insulation maintenance personnel. KEPCO (Korea Electric Power Cooperation) has been using DGA technique since KEPCO established the criteria of DGA in 1985. In this paper, we introduce the DGA criteria of KEPCO and analyze the result of DGA. Also we sort pattern in result of DGA. Then, relation between pattern and inner inspection was studied. 67 DGA data was used for analyzing pattern. Some patterns have something to do with cause of incipient fault.

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Development of an Adaptive Neuro-Fuzzy Techniques based PD-Model for the Insulation Condition Monitoring and Diagnosis

  • Kim, Y.J.;Lim, J.S.;Park, D.H.;Cho, K.B.
    • E2M - 전기 전자와 첨단 소재
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    • 제11권11호
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    • pp.1-8
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    • 1998
  • This paper presents an arificial neuro-fuzzy technique based prtial discharge (PD) pattern classifier to power system application. This may require a complicated analysis method employ -ing an experts system due to very complex progressing discharge form under exter-nal stress. After referring briefly to the developments of artificical neural network based PD measurements, the paper outlines how the introduction of new emerging technology has resulted in the design of a number of PD diagnostic systems for practical applicaton of residual lifetime prediction. The appropriate PD data base structure and selection of learning data size of PD pattern based on fractal dimentsional and 3-D PD-normalization, extraction of relevant characteristic fea-ture of PD recognition are discussed. Some practical aspects encountered with unknown stress in the neuro-fuzzy techniques based real time PD recognition are also addressed.

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