• Proceedings of the Korean Society for Bioinformatics Conference
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• 2001.10a
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• pp.1-9
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• 2001

scale genomic and postgenomic data means that many of the challenges in biomedical research are now challenges in computational sciences and information technology. The informatics revolutions both in clinical informatics and bioinformatics will change the current paradigm of biomedical sciences and practice of clinical medicine, including diagnostics, therapeutics, and prognostics. Postgenome informatics, powered by high throughput technologies and genomic-scale databases, is likely to transform our biomedical understanding forever much the same way that biochemistry did a generation ago. In this talk, 1 will describe how these technologies will in pact biomedical research and clinical care, emphasizing recent advances in biochip-based functional genomics. Basic data preprocessing with normalization and filtering, primary pattern analysis, and machine teaming algorithms will be presented. Issues of integrated biochip informatics technologies including multivariate data projection, gene-metabolic pathway mapping, automated biomolecular annotation, text mining of factual and literature databases, and integrated management of biomolecular databases will be discussed. Each step will be given with real examples from ongoing research activities in the context of clinical relevance. Issues of linking molecular genotype and clinical phenotype information will be discussed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.1009-1011
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• 2013

최근 U-헬스케어 서비스가 증가함에 따라 예방과 건강증진 등에 관심과 연구가 활발히 이루어지고 있다. 이러한 U-헬스케어에 사용되는 ECG, EMG, PPG EEG등이 스마트폰 기반의 휴대용 장비와 연동된 센서들의 연구 역시 활발히 진행 중이다. 일반적으로 PPG신호는 적외선센서를 이용하여 모세혈관의 혈중 헤모글로빈 농도 변화에 의한 맥파를 측정한다. PPG신호의 잡음을 제거하기 위해 필터를 사용하였다. 필터된 정보를 ADC하여 스마트폰으로 BlueTooth통신을 이용하여 전송한다. 최종적으로 스마트 디바이스에 PPG신호를 그린다. 제작결과 PPG아날로그 신호를 보는 것과 동일하게 스마트 디바이스에 그릴 수 있음을 보였다. 이후 PPG신호를 이용하여 혈관건강도 및 건강예방의 측정의 연구를 계속해서 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.407-408
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• 2012

본 논문에서는 코일을 이용한 비접촉 방식의 맥박 측정 시스템의 효율적인 설계 방안을 제시한다. 인덕턴스와 커패시턴스의 값에 따라 발진 주파수가 변동되는 콜피츠 발진기를 사용함으로써 혈류의 흐름에 따른 인덕턴스의 변화를 측정하였다. 실험은 2가지로 구성되며 첫 번째는 코일 위에 손가락을 올려놓은 상태로 측정하는 방식이며 두 번째는 반지 형식으로 감겨진 코일을 손가락 끝에 착용하였을 때이다. 코일 내부에서 가장 높은 자력선 밀도를 가지므로 첫 번째 방식보다 두 번째 방식에서 더 높은 투자율의 변화를 감지할 수 있다. 결과적으로 광용적맥파 신호와의 비교 실험을 통하여 맥파로서의 유의성을 검증하였다.

• Journal of Preventive Medicine and Public Health
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• v.35 no.2
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• pp.83-91
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• 2002

Bioinformatics is a rapidly emerging field of biomedical research. A flood of large-scale genomic and postgenomic data means that many of the challenges in biomedical research are now challenges in computational sciences. Clinical informatics has long developed methodologies to improve biomedical research and clinical care by integrating experimental and clinical information systems. The informatics revolutions both in bioinformatics and clinical informatics will eventually change the current practice of medicine, including diagnostics, therapeutics, and prognostics. Postgenome informatics, powered by high throughput technologies and genomic-scale databases, is likely to transform our biomedical understanding forever much the same way that biochemistry did a generation ago. The paper describes how these technologies will impact biomedical research and clinical care, emphasizing recent advances in biochip-based functional genomics and proteomics. Basic data preprocessing with normalization, primary pattern analysis, and machine learning algorithms will be presented. Use of integrated biochip informatics technologies, text mining of factual and literature databases, and integrated management of biomolecular databases will be discussed. Each step will be given with real examples in the context of clinical relevance. Issues of linking molecular genotype and clinical phenotype information will be discussed.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.508-510
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• 2019

본 연구에서는 딥 러닝을 이용하여 완전 자동화된 다중 클래스 전체 심장 분할 알고리즘을 제안하였다. 제안된 방법은 recurrent convolutional block과 residual multi-dilated block을 삽입하여 기존 U-Net을 개선한 인공신경망 모델을 사용하였다. 평가는 자동화 분석 결과와 수동 평가를 비교하였다. 그 결과 96.88%의 평균 DSC, 95.60%의 정확도, 97.00%의 recall을 얻었다. 이 실험 결과는 제안된 방법이 다양한 심장 구조에서 효과적으로 구분되어 수행되었음을 알 수 있다. 본 연구에서 제안된 알고리즘이 의사와 방사선 의사가 영상을 판독하거나 임상 결정을 내리는데 보조적 역할을 할 것을 기대한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.555-558
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• 2019

고령화 및 1 인가구의 증가와 함께 반려동물을 키우는 인구수는 증가하여 반려동물 산업이 증가하는 반면 반려동물 산업이 개와 고양이에 국한되어있다. 본 프로젝트 에서는 소 동물 특히, 고슴도치에 집중하여 온/습도 정보확인, 이미지 영상 실시간 확인, 자동 먹이배급 등의 기능을 갖는 반려동물 스마트 케이지 시스템을 개발하였다. 센서 노이즈를 줄이기 위하여 평균화 하여 사용하였고, 시리얼통신, mqtt, http 통신을 사용하여 센서, MCU, 마이컴, 스마트폰 Application 을 연동하여 사용자가 모든 기능을 쉽게 사용 가능하도록 하였다.

• Proceedings of the KOSOMBE Conference
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• v.1998 no.11
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• pp.251-252
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• 1998

Most of Electroencephalography(EEG) systems currently being used in hospitals don't support a standardized communication protocol for the exchange of orders, data and results. ASTM: E1467 protocol was proposed to expedite the EEG data exchange between different EEG systems and eventually between hospitals. In this paper, we present an Electroencephalography Information System using ASTM: E1467 protocol, with which patient registration, orders, interpretation, and review can be performed electronically. The system is designed using a component-based methodology. Most of the components are written in Visual C++ and Visual Basic. JAVA is also used to implement some components.

• Journal of the Korean Society for information Management
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• v.7 no.2
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• pp.138-149
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• 1990

The present study is aimed at the comparative evaluation of several CD-ROM MEDLINE versions for biomedical information retrieval and searching. The CD-ROM MEDLINE has recently been introduced in Korea and is actively using for health and medical professionals as an effective delivery tool of biomedical information. And this evaluative study revealed some different advantages and disadvantages in searching information among several CD-ROM MEDLINE versions. The present study also provides some findings of CD-ROM user's information seeking behaviors.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2003.10a
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• pp.147-154
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• 2003

Microarray information system is a complex system to manage, analyze and interpretate microarray gene expression data. Establishment of well-defined development process is very essential for understanding the complexity and organization of the system. We performed object-oriented analysis using Unified Modeling Language (UML) in specifying, visualizing and documenting microarray information system. The object-oriented analysis consists of three major steps: (i) use case modeling to describe various functionalities from the user's perspective (ii) dynamic modeling to illustrate behavioral aspects of the system (iii) object modeling to represent structural aspects of the system. As a result of our modeling activities we provide the UML diagrams showing various views of the microarray information system. We believe that the object-oriented analysis ensures effective documentations and communication of information system requirements. Another useful feature of object-oriented technique is structural continuity to standard microarray data model MAGE-OM (Microarray Gene Expression Object Model). The proposed modeling e(forts can be applicable for integration of biomedical information system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.312-315
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• 2008

Recently, owing to the development of ubiquitous, RFID and local area wireless communication technology, many studies on the system which can measure biomedical signals are being carried out. In this paper, we have designed and implemented an u-Healthcare system based on sensor network using biomedical signal measurement sensors such as ECG, blood pressure, and heartbeats. The biomedical signals from sensor nodes pass through the gateway and are finally transmitted to a healthcare renter. The acquired biomedical signals are processed in the healthcare center and the analyzed results are transmitted to the patients to improve patients' health using either kinesitherapy or dietary treatment.