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경혈탐측기에 반응한 이혈(耳穴)과 신체 동통 부위와의 관계 연구
강문수,박현철,김락형,유정석,송범용,Kang, Mun-Su,Park, Hyun-Chul,Kim, Lak-Hyung,Yu, Jeong-Suk,Song, Beom-Yong 대한침구의학회 2007 대한침구의학회지 Vol.24 No.6
Objectives : The objectives of this study were to investigate the relationship between electrical detection of ear acupuncture points and musculoskeletal pain. Methods : 18 adults who have musculoskeletal pain without trauma factorsparticipated in this study. They answered the questionnaire and their ear acupuncture points were examined with electrical detectors. We analyzed the relationship between electrical detection of ear acupuncture points and musculoskeletal pain with concordance rate and validity. Results : Total concordance rates of the head region was 68.00%(questionnaire) 32.08%(investigation), that of vertebral region was 67.86%, 59.38%, that of both upper limbs was 86.67%, 39.69%, and that of both lower limbs was 50.00%, 23.46%. The true positive rate was 0.704, the true negative rate was 0.492, the false positive rate was 0.508, and the false negative rate was 0.296 in the validity test. In the head, two concordance rates of the temporal and occipital regions were relatively higher than those of the parietal and frontal regions. In the vertebral region, two concordance rates of the cervical and lumbar regions were relatively higher than those of the thoracic and sacrum regions. In the upper limb, two concordance rates of the shoulder and shoulder joints were relatively higher than those of the others. In the lower limb, concordance rates of investigation were relatively low at all areas. The right lower limb was relatively higher than the left in concordance rates of the questionnaire. Conclusions : The results suggest that electrical detection of ear acupuncture points can be used in the diagnosis and treatment of musculoskeletal pain.
주의력결핍·과잉행동장애의 침치료에 대한 최신 연구동향 - 2011-2013년 중국 논문 중심으로 -
강문수,김우경,김락형,Kang, Mun Su,Kim, Woo Kyoung,Kim, Lak Hyung 대한한방소아과학회 2013 대한한방소아과학회지 Vol.27 No.4
Objectives The purpose of this study was to investigate the acupuncture therapy about Attention Deficit Hyperactivity Disorder (ADHD) in China. Methods We searched for the studies on ADHD at China National Knowledge Infrastructure (CNKI, http://www.cnki.net) from 2011.1 to 2013.8. Results Selected 12 studies were divided into 7 case reports and 5 control studies. 7 case reports reported significant improvements with acupuncture therapy in ADHD. 5 control studies reported results that the acupuncture therapy groups were similar or better than western medicine treatment groups. Frequently used acupuncture points were EX-HN23 (7 times), GV20 ${\bullet}$ P6 ${\bullet}$ SP6 (6 times), G13 ${\bullet}$ EX-HN1 (5 times). Conclusions There have been reported many ADHD clinical studies in China and these studies can be applied to the clinical practices in Korea.
강문수 ( Mun-su Kang ),최영식 ( Young-sik Choi ) 한국인터넷정보학회 2014 인터넷정보학회논문지 Vol.15 No.5
본 논문에서는 방향그래프에서 개미가 한 노드에서 다른 노드들로 이동하는 새로운 개미 기반계층적 클러스터링 알고리즘을 제안한다. 노드페로몬은 로컬영역에서 상대 밀도값으로 간주될 수 있는 값으로 노드로 들어오는 에지들의 페로몬 양을 합한 것이다. 일정한 횟수만큼 개미들을 이동시킨 후 방향 그래프로부터 소량의 노드페로몬 값을 가진 노드들을 제거하고, 강하게 연결되어 있는 요소들을 하나의 클러스터로 구성한다. 반복적으로 낮은 값부터 높은 값까지 제거작업을 하여 계층적 클러스터들을 구축한다. 다양한 실험을 통해 제안하는 알고리즘과 기존 클러스터링 알고리즘을 비교하고 제안하는 알고리즘의 우수성을 실험을 통해 입증한다. In this paper, we present a novel ant-based hierarchical clustering algorithm, where ants repeatedly hop from one node to another over a weighted directed graph of k-nearest neighborhood obtained from a given dataset. We introduce a notion of node pheromone, which is the summation of amount of pheromone on incoming arcs to a node. The node pheromone can be regarded as a relative density measure in a local region. After a finite number of ants` hopping, we remove nodes with a small amount of node pheromone from the directed graph, and obtain a group of strongly connected components as clusters. We iteratively do this removing process from a low value of threshold to a high value, yielding a hierarchy of clusters. We demonstrate the performance of the proposed algorithm with synthetic and real data sets, comparing with traditional clustering methods. Experimental results show the superiority of the proposed method to the traditional methods.