• 제목/요약/키워드: Pattern diagnosis

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현직 한의사의 한의진단 현황 조사 보고 (An investigative report on the clinical use of traditional diagnosis modalities among Korean Medicine Doctors)

  • 장재순;조승모;김기왕
    • 대한한의진단학회지
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    • 제17권2호
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    • pp.156-168
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    • 2013
  • Objectives Although there have been someone who pointed out declining tendency of pure traditional diagnosis, there are no objective survey results on present state of diagnosis among Korean Medicine Doctors (KMDs). So we did a descriptive survey study to show traditional diagnostic modality usage among them. Materials and methods: 73 samples of responded questionnaire in Busan area were collected and descriptively studied. Results (1) U code (in KCD-6) usage showed low level (28.7%). (2) Diagnostic apparatuses for traditional medicine are rarely used. For example, pulse diagnosis machine was reported to be used only by 9.7 % of KMDs. (3) KMDs still prefer the treatment based on pattern identification and symptomatic therapy rather than treatments based on disease identification of modern biomedicine. Conclusion Overall, the portion of pattern identification is still high among KMDs, some kind of diagnostic methods which support pattern identification showed lack of usage.

고속 고장 진단을 위해 고장 후보 정렬과 테스트 패턴 정렬을 이용한 고장 탈락 방법 (A Fault Dropping Technique with Fault Candidate Ordering and Test Pattern Ordering for Fast Fault Diagnosis)

  • 이주환;임요섭;김홍식;강성호
    • 대한전자공학회논문지SD
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    • 제46권3호
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    • pp.32-40
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    • 2009
  • 한 제품을 만들어 시장에 내놓는 데 걸리는 시간이 짧아짐에 따라 고속 고장 진단의 필요성이 커지고 있다. 본 논문에서는 고속 고장 진단을 위하여 정렬된 고장 후보 목록과 정렬된 테스트 패턴을 사용하여 고장 점수를 기준으로 고장 탈락을 시키는 방법을 제안한다. 제안하는 고장 탈락 방법은 고장 시뮬레이션과 매칭 알고리듬을 기반으로 하는 모든 고장 진단에 적용할 수 있다. 완전 주사 ISCAS 89 벤치마크 회로를 이용한 실험 결과는 정렬된 고장 후보 목록 및 정렬된 테스트 패턴을 적용한 고장 탈락 방법의 효율성을 보여준다.

급성기 중풍환자의 위험요인, 경고증상, 전조증상 및 설진, 맥상, 변증과 NIHSS의 관련성 연구 (The Relationship between Risk Factors, Warning Signs, Tongue Diagnosis, Pulse Pattern, Pattern Identification and National Institute of Health Stroke Scale in Acute Stroke Patients)

  • 김미영;최원우;박수경;엄정태;박성욱;정우상;조기호
    • 대한한방내과학회지
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    • 제30권4호
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    • pp.708-718
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    • 2009
  • Objectives : The aim of this study was to assess the relationship between risk factors, warning signs, tongue diagnosis, pulse pattern, pattern identification and National Institute of Health Stroke Scale in acute stroke patients. Methods : We studied patients hospitalized within 4 wks after their ictus who were admitted at the Internal Medical Department at Kyunghee Oriental Medical Center, Kyunghee University East-West Neo Medical Center, Kyungwon University Songpa Oriental Medical Center, Kyungwon University Incheon Oriental Medical Center, Dongguk University Ilsan Oriental Medical Center from April 2007 to August 2009. We analyzed the relationship between risk factors, warning signs, tongue diagnosis, pulse pattern, pattern identification and National Institute of Health Stroke Scale in acute stroke patients. Results : 1506 subjects were included into the final analysis. 1. In the risk factors, the NIHSS mean score of atrial fibrillation was significantly higher than non-atrial fibrillation. 2. In the warning signs, the NIHSS mean scores of weakness, loss of eyesight, dysarthria, and sensory loss were significantly higher than in the non-warning signs. 3. There were no significant differences in lifestyle, tongue fur color, pattern identification between groups. 4. In the tongue color, the NIHSS mean score of red was significantly higher than pale or pale red. 5. There were significant differences statistically between forceful/weak, fine/not fine, slippery/not slippery pulse and NIHSS score. Conclusion : The above results show the relationship between risk factors, warning signs, tongue diagnosis, pulse pattern, pattern identification and National Institute of Health Stroke Scale in acute stroke patients. These results can be utilized in the future as a basis material.

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위식도역류질환 변증도구 개발 연구 (Development of a Standard Tool for Pattern Identification of Gastroesophageal Reflux Disease (GERD))

  • 한가진;임정태;이나라;김진성;박재우;이준희
    • 대한한방내과학회지
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    • 제36권2호
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    • pp.122-152
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    • 2015
  • Objectives: This study was designed to develop a standard tool for pattern identification of gastroesophageal reflux disease (GERD) patients. Methods: Korean and Chinese literature was selected that mentioned pattern identification of GERD. We gathered the pattern identification and their symptoms and a Chinese medical doctor proficient in Korean translated the Chinese characters into Korean. A Korean linguist then confirmed the translation results to develop a draft of the standard tool for pattern identification of gastroesophageal reflux disease (PIGERD). The final PIGERD was developed after assessment by an expert committee composed of professors from the Korean Medicine University, using the following items: inclusion of the pattern identification and its symptoms, importance of items, and validity of translation. Results: Six pattern identifications and 94 symptoms were selected from 45 references and translated into Korean. Four pattern identifications [pattern/syndrome of liver qi invading the stomach (肝胃不和), spleen-stomach weakness (脾胃虛弱), spleen-stomach dampness-heat (脾胃濕熱), and stomach yin deficiency (胃陰不足)] and 49 symptoms were then selected through the Delphi method by the expert committee. The final standard PIGERD tool was completed after the assessment of translation validity and reflection of individual opinions by the expert committee. This tool consists of 40 items including tongue and pulse diagnosis. The weighted value was also computed from assessment of the importance of items. Conclusions: We developed a standard tool for pattern identification of gastroesophageal reflux disease (PIGERD) to clarify the pattern identification of patients with gastroesophageal reflux disease for standardized diagnosis.

화병과 화병 ${\bullet}$ 주요우울증 중복진단군의 OMS-prime을 통한 변증유형 비교연구 (A comparative study on pattern identification by OMS-prime of Hwa-Byung group and Hwa-Byung with Major Depression double diagnosis group)

  • 김종우;김상호;정선용;박소정;변순임;김지영;황의완
    • 동의신경정신과학회지
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    • 제18권3호
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    • pp.1-14
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    • 2007
  • The objective of tills study is to identify the difference of somatic characteristics between Hwa-Byung and Major Depression by comparing the pattern identification of Hwa-Byung group and Hwa-Byung with Major Depression group(double diagnosis) Method: According to Hwa-Byung Diagnostic Interview Schedule(HBDIS) and SCID, 17 patients as diagnosed Hwa-Byung and 20 patients as diagnosed Hwa-Byung with Major Depression group(double diagnosis) were recruited. and by depression scale like Hamilton Rating Scale for Depression(HRDS) & Montgomery-Asberg Depression Rating Scale(MADRS), we excluded patients complaining moderate & severe depression among Hwa-Byung group and excluded patients showing mild depression among Hwa-Byung with Major Depression group. After this evaluation, we analysed and compared the pattern identification of both groups by OMS-prime. Result: 1. There were no significant differences of demographic data between both groups. 2. In the result of 'analysis on pattern identification' for all participant used by OMS-prime, most frequent pattern was deficiency of Yin and Yang of the heart(49%). 3. In the result of 'analysis on most correlated pattern identification' used by OMS-prime, for Hwa-Byung group was deficiency of Yin and Yang of the heart(45%) and the next were disharmony of the liver and spleen (20%), generation of phlegm due to stagnation of Gallbladder(15%) deficiency of Qi and Yin of the heart(l0%), And for Hwa-Byung with Major Depression group(double diagnosis) was deficiency of Yin and Yang of the heart(53%), the next were generation of phlegm due to stagnation of Gallbladder(18%), and deficiency of Qi and blood of the heart(l2%), 4. In the result of 'analysis on significant pattern identification' used by OMS-prime, for Hwa-Byung group was deficiency of Yin and Yang of the heart(20%) and the next were disharmony of the liver and spleen(15%), generation of phiegm due to stagnation of Gallbladder(15%), deficiency of Qi and Yin of the heart(14%), And for Hwa-Byung plus Major Depression group(double diagnosis) was deficiency of Yin and Yang of the heart(18%), the next were deficiency of Qi and Yin of the heart(18%), deficiency of Qi and blood of the heart(l0%), generation of phiegm due to stagnation of Gallbladder(18%), Conclusion: Hwabyung is syndrome that have many different symptoms, but there is no difference between Hwa-Byung group and Hwa-Byung with Major Depression group(double diagnosis) on the side of symptoms. Therefore, Hwabyung could be a new model for research on depression in Korean.

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만성피로의 한의임상진료현황에 대한 조사 연구 (Survey on Pattern Identification and Treatment of Chronic Fatigue in Korea Medicine)

  • 김지원;김효진;장은수;정현정;황민우;남동현
    • 동의생리병리학회지
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    • 제32권2호
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    • pp.126-133
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    • 2018
  • The aim of this survey is to investigate the current state of pattern identification, treatment and management on chronic fatigue in the Korean medicine. From May 25, 2017 to June 7, we distributed contents of questionnaires to 17,992 Korean medical doctors via e-mail, and then received answers from 329 people. The surveys were conducted by a specialized research organizations. Researchers were blinded to the participant's personally identifiable information or whether they participated in the investigation. In Korea, almost Korean medicine doctors (94.5%) used pattern identification in the treatment of chronic fatigue patients. The main diagnostic methods were visceral (38.5%), qi-blood-fluid-humor (32.3%), and sasang constitutional pattern identification (14.3%). The high-frequent therapy were herbal medicine (37.0%), acupuncture (27.9%), moxibustion (11.7%), and cupping (8.6%). The primary goals of treatment were Improvement and relaxation of stress condition (18.1%), improvement of quality of life (13.1%), increase of functional vitality (34.0%), and fatigue management (23.3%). The key factors affecting treatment outcomes were the patient's aggressiveness in treatment (23.5%) and his/her lifestyle and environment(22.7%). This study was a pioneering research for chronic fatigue on the aspect of medical service provider in the Korean medicine. We hope that this study can be used as a basis for developing a more appropriate and reasonable practice guidelines for chronic fatigue.

소양인(少陽人) 병증(病證) 진단 알고리즘 개발 연구 (Study on the Development of Diagnosis Algorithm of Soyangin Symptomatology)

  • 신승원;이의주;고병희;이준희
    • 사상체질의학회지
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    • 제23권3호
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    • pp.294-303
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    • 2011
  • 1. Objectives: The purpose of this study is to develop the algorithm, which can help clinicians diagnose Soyangin's symptomatology, based on the indexes for energy and fluid and those for nutrient material. 2. Methods: The items of "Donguisusebowon(東醫壽世保元)" were analysed to figure out the inevitable and sequential indexes of Soyangin's symptomatology diagnosis, in order of exterior-interior pattern differentiation, favorable-unfavorable pattern differentiation, and mild-severe-dangerous-urgent pattern differentiation. 3. Results and Conclusions: 1) 1st step: Soyangin's exterior pattern and interior pattern are differentiated in terms of heat and cold, respectively. Aversion to cold and feces are used to confirm the difference. 2) 2nd step: The existence of diarrhea is used to find out that an exterior pattern is with or without favor, while the indexes of back cold, skinniness of thigh-knee and turbid urine are used to identify an interior pattern with or without favor. 3) 3rd step: The favorably exterior-heat pattern can be either mild or severe by the indexes of stuffiness/rigidity/pain below the heart and digestion, while the unfavorably exterior-heat pattern can be either dangerous or urgent by the ones of cold-heat and specific pain. And, the favorably interior-cold pattern can be either mild or severe mainly by feces and subsidiarily by delirious speech and digestion, while the unfavorably interior-cold pattern can be either mild or severe by afternoon tidal fever and vomiting.

소음인(少陰人) 병증(病證) 진단 알고리즘 개발 연구 (Study on the Development of Diagnosis Algorithm of Soeumin Symptomology)

  • 신승원;이의주;고병희;이준희
    • 사상체질의학회지
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    • 제23권1호
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    • pp.33-43
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    • 2011
  • 1. Objectives: This study is aimed to develop the algorithm, which can help clinicians diagnose Soeumin's symptomology, based on the indexes such as dry mouth, water drinking, sweat, urine, appetite, digestion, and stool, etc. 2. Methods: This research analyzes the items of "Donguisusebowon(東醫壽世保元)" to reveal the inevitable and sequential indexes of Soeumin's symptomology diagnosis, in order of exterior-interior pattern differentiation, favorable-unfavorable pattern differentiation, and mild-severe-dangerous-urgent pattern differentiation. 3. Results and Conclusions: 1) 1st step: Soeumin's exterior pattern and interior pattern are differentiated in terms of heat and cold, respectively. Stool and digestion are used to confirm the difference. 2) 2nd step: The existence of sweat is used to find out that an exterior pattern is with or without favor, while the indexes of stool, dry mouth, and generalized pain are used to identify an interior pattern with or without favor. 3) 3rd step: The favorably exterior-heat pattern can be either mild or severe by the indexes of cold-heat, stool, tidal fever, and manic raving, panting and straight looking, while the unfavorably exterior-heat pattern can be either dangerous or urgent by the ones of cold-heat, stool, and urine. And, the favorably interior-cold pattern can be either mild or severe by the indexes of stuffiness and fullness, jaundice, and edema, while the unfavorably interior-cold pattern can be either mild or severe by the ones of vexation level.

Sound Based Machine Fault Diagnosis System Using Pattern Recognition Techniques

  • Vununu, Caleb;Moon, Kwang-Seok;Lee, Suk-Hwan;Kwon, Ki-Ryong
    • 한국멀티미디어학회논문지
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    • 제20권2호
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    • pp.134-143
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    • 2017
  • Machine fault diagnosis recovers all the studies that aim to detect automatically faults or damages on machines. Generally, it is very difficult to diagnose a machine fault by conventional methods based on mathematical models because of the complexity of the real world systems and the obvious existence of nonlinear factors. This study develops an automatic machine fault diagnosis system that uses pattern recognition techniques such as principal component analysis (PCA) and artificial neural networks (ANN). The sounds emitted by the operating machine, a drill in this case, are obtained and analyzed for the different operating conditions. The specific machine conditions considered in this research are the undamaged drill and the defected drill with wear. Principal component analysis is first used to reduce the dimensionality of the original sound data. The first principal components are then used as the inputs of a neural network based classifier to separate normal and defected drill sound data. The results show that the proposed PCA-ANN method can be used for the sounds based automated diagnosis system.

인공신경망을 이용한 DWT 전력스펙트럼 밀도 기반 자동화 기계 고장 진단 기법 (Fault Diagnosis Method for Automatic Machine Using Artificial Neutral Network Based on DWT Power Spectral Density)

  • 강경원
    • 융합신호처리학회논문지
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    • 제20권2호
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    • pp.78-83
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    • 2019
  • 소리 기반 기계 고장 진단은 기계의 음향 방출 신호에서 비정상적인 소리를 자동으로 감지하는 것이다. 수학적 모델을 사용하는 기존의 방법은 기계 시스템의 복잡성과 잡음과 같은 비선형 요인이 존재하기 때문에 기계 고장 진단이 어려웠다. 따라서 기계 고장 진단의 문제를 패턴 인식 문제로 해결하고자 한다. 본 논문에서 DWT와 인공신경망 기반 패턴 인식 기법을 이용한 자동화 기계 고장 진단 기법을 제안한다. 기계의 결함을 효과적으로 탐지하기 위해 DWT를 이용해 대역별 분해 후 최상위 고주파 부대역과 최하위 저주파 부대역을 제외한 나머지 부대역의 PSD를 구하여 인공신경망 기반 분류기의 입력으로 사용한다. 그 결과 본 연구에서 제안한 방법은 효과적으로 결함을 탐지할 뿐만 아니라 소리 기반의 다양한 자동 진단 시스템에도 효과적으로 활용될 수 있음을 보여준다.