• 제목/요약/키워드: Biomedical Information

검색결과 1,681건 처리시간 0.027초

Discovering information from biological data

  • Wong, Lim-Soon
    • 한국생물정보학회:학술대회논문집
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    • 한국생물정보시스템생물학회 2000년도 International Symposium on Bioinformatics
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    • pp.39-40
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    • 2000
  • Knowledge discovery has attracted increased attention in the biomedical industry in recent years is due to the increased availability of huge amount of biomedical data and the imminent need to turn such data into useful information and knowledge. In this talk, we discuss knowledge discovery techniques for gene expression analysis and MHC-peptide binding prediction in the context of discovering protein antigens and hot spots in these antigens.

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온톨로지 에디팅, 통합, 추론을 위한 관리도구: 초보적 디자인 그리고 구현 (Ontology Management Tool for Editing, Integration and Inference: Primitive Design and Implementation)

  • 박경모;김동진
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2005년도 한국컴퓨터종합학술대회 논문집 Vol.32 No.1 (B)
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    • pp.655-657
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    • 2005
  • 온톨로지를 효율적으로 관리하기 위한 관리도구의 프레임워크로써, 온톨로지 편집과 통합, 추론을 다루고 있다. 온톨로지 편집에 있어 텍스트 기반의 편집과 한국어 사용자를 위한 편집 방식 지원 그리고 semi-Automatic 편집 및 템플릿 생성에 대해 다루고 있으며 온톨로지 통합과 관련된 여러 알고리즘을 구상하고, 온톨로지에 대한 정당성 체크 및 향후 유비추론을 위한 프레임워크 개발에 대한 통합 측면과 추론에 대해 언급한다.

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Development of a New Training System for the Improvement of Equilibrium Sense

  • Kwon, Tae-Kyu;Park, Yong-Gun;Yu, Mi;Kim, Seong-Hyun;Hong, Chul-Un;Kim, Nam-Gyun
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.206-210
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    • 2004
  • This paper proposes a new training system for equilibrium sense using unstable platform. This training system for equilibrium sense consists of an unstable platform, a computer interface circuit and software program. Postural instability changes the weighting of different types of sensory information and the state of the equilibrium maintenance system. In order to improve the equilibrium sense, we developed software program such as a block game, sine curve training (SCT) and pingpong game using Visual C++. Using this system and training programs, we performed an experiment to train the equilibrium sense of a subject. To evaluate the effects of balance training, the time maintained on the target and the moving time to the target are measured. As a result, the moving time to the target and time to maintain cursor on the target improved through repeating equilibrium sense training. It was concluded that this system was reliable in the evaluation of equilibrium sense. We expect that this system might be applied to clinical use as an effective balance training system.

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Fuzzy Simulation of a Multi-electronic Acupuncture System and Clip-type Pulsimeter Equipped with a Magnetic Sensing Hall Device

  • Hong, You-Sik;Rhee, Jin-Kyu;Kim, Han-Kyu;Son, Il-Ho;Yoon, Woo-Sung;Lee, Nam-Kyu;Park, Do-Young;Kim, Keun-Ho;Kim, Yong-Jin;Khajidmaa, P.;Lee, Sang-Suk
    • Journal of Magnetics
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    • 제19권3호
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    • pp.255-260
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    • 2014
  • A portable clip-type pulsimeter equipped with a magnetic sensing Hall device has been developed to raise the accuracy of oriental disease diagnosis and therapy by convergence of magnetism and oriental medicine. To improve accuracy and reliability of conventional pulsimeter due to subjective analysis of the pulse wave and measuring position dependency of the arterial pulse sensor, the fuzzy algorithm was applied to analyze the strong- and weak-pulse wave symptom. Optimal time for electronic acupuncture was calculated using fuzzy rules and interference were drawn from objective data in view of pre-treatment. Moreover, the electrical characteristics of the pain parts that respond to acupuncture point were applied in view of post-treatment to propose the scientific pulse wave algorithm and simulation experiment.

다축분류체계를 이용한 치과용 의료행위 분류체계 구축 (Implementation of the Classification system for Dental Behavior using Multi-Axial Classification System)

  • 안시훈;천무철;김무성;홍종윤;김경태;전계록
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1998년도 추계학술대회
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    • pp.255-256
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    • 1998
  • In this paper, we propose the multi-axial classification system using parallel coding method that is systemic and flexible properties for representing dental clinical behavior. The methodology and organization of this thesis as follows. First, an analysis of other classification systems. Second, the domain of medical behavior and axises using selected elements was were determined. Third, the new code system is constructed of these common factors in properties of prediction of hierarchy, brevity, simplicity, flexibility and mnemonic usage. Finally, the framework of classification system for dental was made using multi-axial code system. The result of the this study, the eight bases axis of multi-axial code system is composed and can be basic information of research for construction of classification system of all medical domain.

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Synthetic approaches toward [18F]Fluoromisonidazole as a hypoxia imaging maker

  • Kwon, Young-Do;Lim, Seok Tae;Jeong, Hwan-Jeong;Sohn, Myung-Hee;Kim, Hee-Kwon
    • 대한방사성의약품학회지
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    • 제1권1호
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    • pp.9-14
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    • 2015
  • Hypoxia has been shown in many tumors because of a reduced oxygen condition. A useful approach to detect hypoxia is to use molecular imaging. Positron emission tomography (PET), one of the biomedical molecular imaging tools, is the most common non-invasive technique for providing information about physiological and biological events such as diseases. In order to use the PET technique for healthcare, promising molecular probes such as PET tracers required. [$^{18}F$]Fluoromisonidazole ([$^{18}F$]FMISO) is the most widely used in PET tracers for hypoxia. In this review, major developments of the synthetic method of [$^{18}F$]FMISO are discussed.

A Novel Automatic Algorithm for Selecting a Target Brain using a Simple Structure Analysis in Talairach Coordinate System

  • Koo B.B.;Lee Jong-Min;Kim June Sic;Kim In Young;Kim Sun I.
    • 대한의용생체공학회:의공학회지
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    • 제26권3호
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    • pp.129-132
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    • 2005
  • It is one of the most important issues to determine a target brain image that gives a common coordinate system for a constructing population-based brain atlas. The purpose of this study is to provide a simple and reliable procedure that determines the target brain image among the group based on the inherent structural information of three-dimensional magnetic resonance (MR) images. It uses only 11 lines defined automatically as a feature vector representing structural variations based on the Talairach coordinate system. Average characteristic vector of the group and the difference vectors of each one from the average vector were obtained. Finally, the individual data that had the minimum difference vector was determined as the target. We determined the target brain image by both our algorithm and conventional visual inspection for 20 healthy young volunteers. Eighteen fiducial points were marked independently for each data to evaluate the similarity. Target brain image obtained by our algorithm showed the best result, and the visual inspection determined the second one. We concluded that our method could be used to determine an appropriate target brain image in constructing brain atlases such as disease-specific ones.

단일 리드 심전도를 이용한 개인 식별 (Identification of Individuals using Single-Lead Electrocardiogram Signal)

  • 임서현;민경란;이종실;장동표;김인영
    • 대한의용생체공학회:의공학회지
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    • 제35권3호
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    • pp.42-49
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    • 2014
  • We propose an individual identification method using a single-lead electrocardiogram signal. In this paper, lead I ECG is measured from subjects in various physical and psychological states. We performed a noise reduction for lead I signal as a preprocessing stage and this signal is used to acquire the representative beat waveform for individuals by utilizing the ensemble average. From the P-QRS-T waves, features are extracted to identify individuals, 19 using the duration and amplitude information, and 16 from the QRS complex acquired by applying Pan-Tompkins algorithm to the ensemble averaged waveform. To analyze the effect of each feature and to improve efficiency while maintaining the performance, Relief-F algorithm is used to select features from the 35 features extracted. Some or all of these 35 features were used in the support vector machine (SVM) learning and tests. The classification accuracy using the entire feature set was 98.34%. Experimental results show that it is possible to identify a person by features extracted from limb lead I signal only.

Assessment of Malignancy in Human Brain Tumors by in vivo 1H MR Spectroscopy at 3 Tesla

  • Choe, Bo-Young;Baik, Hyun-Man;Chu, Myung-Ja;Kwon, Kang-Sei;Chung, Sung-Taek;Oh, Chang-Hyun;Kim, Sun-I;Park, Chi-Bong;Lee, Hyoung-Koo
    • 대한자기공명의과학회:학술대회논문집
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    • 대한자기공명의과학회 2002년도 제7차 학술대회 초록집
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    • pp.80-80
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    • 2002
  • Purpose: Three tesla high field MR has been important to those disciplines that are SNR limited, such as MR spectroscopy. Additionally, increased spectral dispersion is critical for minimizing spectral overlap and simplifying resonance structures. The purpose of this study was to assess clinical proton MR spectroscopy (MRS) as a noninvasive method for evaluating brain tumor malignancy at 3T high field system Materials and Methods: Using 3T MRI/MRS system, localized water-suppressed single-voxel technique in patients with brain tumors was employed to evaluate spectra with peaks of N-acetyl aspartate (NAA), choline-containing compounds (Cho), creatine/phosphocreatine (Cr) and lactate. On the basis of Cr, these peak areas were quantificated as a relative ratio.

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Genetic Distance Methods for the Identification of Cervus Species

  • Seo Jung-Chul;Kim Min-Jung;Lee Chan;Lee Jeong-Soo;Choi Kang-Duk;Leem Kang-Hyun
    • 대한한의학회지
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    • 제27권2호
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    • pp.225-231
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    • 2006
  • Objectives : This study was performed to determine if unknown species of antler samples could be identified by genetic distance methods. Methods : The DNAs of 4 antler samples were extracted, amplified by PCR, and sequenced. The DNAs of antlers were identified by genetic distance. Genetic distance method was made using MEGA software (Molecular Evolutionary Genetics Analysis, 3.1). Results : By genetic distance methods, all 4 antler samples were closest to Cervus elaphus nelsoni among Cervus species. Conclusion : These results suggest that genetic distance methods might be used as a tool for the identification of Cervus species.

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