• Journal of the Korean Institute of Intelligent Systems
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• 제20권5호
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• pp.659-664
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• 2010

This paper provides an integrated framework for biometric data and private information protection in TeleHealth. Biometric technology is indispensable in providing identification and convenience in the TeleHealth environment. Once biometric information is exposed to mallicious attacker, he will suffer great loss from the illegferuse of his biometric data by someone else because of difficulty of change not like ID and password. We have to buil by someone esystem data bon the integrated framework for biometric data and private information protection in TeleHealth. First, we consider the structure of the biometric system and the security requirements of y someone esystem data bon the biometrics. And then, we define the TeleHealth system model and provide the vulnerabilities and countermeasures of the biometric-data by someone eintegrated model.byhe TeleHealth sse bec requires two-phata authentication for countermeasure. Finally, we made some functionferrequirements for main componenets of biometric-data bintegrated TeleHealth system framework to protect biometric data.

• Journal of Convergence for Information Technology
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• 제9권4호
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• pp.1-7
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• 2019

The medical environment, combined with IT technology, is changing the paradigm for medical services from treatment to prevention. In particular, as ICT convergence digital healthcare technology is applied to hospital medical systems, infrastructure technologies such as big data, Internet of Things, and artificial intelligence are being used in conjunction with the cloud. In particular, as medical services are used with IT devices, the quality of medical services is increasingly improving to make them easier for users to access. Medical institutions seeking to incorporate IoT services into cloud health care environment services are trying to reduce hospital operating costs and improve service quality, but have not yet been fully supported. In this paper, a patient information collection model from hospital IoT system, which has established a cloud environment, is proposed. The proposed model prevents third parties from illegally eavesdropping and interfering with patients' biometric information through IoT devices attached to the patient's body at hospitals in cloud environments that have established hospital IoT systems. The proposed model allows clinicians to analyze patients' disease information so that they can collect and treat diseases associated with their eating habits through IoT devices. The analyzed disease information minimizes hospital work to facilitate the handling of prescriptions and care according to the patient's degree of illness.

• Journal of Internet Computing and Services
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• 제23권3호
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• pp.87-95
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• 2022

Recently, with the development of smart technology, in medical information platform, patient's biometric data is measured in real time and accumulated into database, and it is possible to determine the patient's emergency situations. Medical staff can easily access patient information after simple authentication using a mobile terminal. However, in accessing medical information using the mobile terminal, it is necessary to study authentication in consideration of the patient situations and mobile terminal. In this paper, we studied on medical information platforms based on big data processing and edge computing for supporting automatic authentication in emergency situations. The automatic authentication system that we had studied is an authentication system that simultaneously performs user authentication and mobile terminal authentication in emergency situations, and grants upper-level access rights to certified medical staff and mobile terminal. Big data processing and analysis techniques were applied to the proposed platform in order to determine emergency situations in consideration of patient conditions such as high blood pressure and diabetes. To quickly determine the patient's emergency situations, edge computing was placed in front of the medical information server so that the edge computing determine patient's situations instead of the medical information server. The medical information server derived emergency situation decision values using the input patient's information and accumulated biometric data, and transmit them to the edge computing to determine patient-customized emergency situation. In conclusion, the proposed medical information platform considers the patient's conditions and determine quick emergency situations through big data processing and edge computing, and enables rapid authentication in emergency situations through automatic authentication, and protects patient's information by granting access rights according to the patient situations and the role of the medical staff.

• The Journal of the Convergence on Culture Technology
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• 제1권2호
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• pp.85-89
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• 2015

It has been reported that cerebral disease is the most leading to death as a single disease even though next to cancer in the most important cause of death in the country. Even if patients maintain a life without death, it will have to suffer from side effects such as hemiplegia and language disorders. In this paper, the symptoms and treatment of cerebral infarction cases are described through the medical dramas (The Third Hospital, The Brain) and movie (Amur). Even if there is the same stroke each drama or movie, depending on the previous history or current physical condition of the patient knew which treatment the law is different.

• Annual Conference of KIPS
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• 한국정보처리학회 2021년도 추계학술발표대회
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• pp.602-605
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• 2021

최근 인공지능 연구가 활발히 진행되고 있는 가운데 국내외에서 오픈 데이터셋을 제공하고 있어 기술개발이 가속화되고 있다. 데이터셋은 지도학습을 위한 학습데이터로 라벨링 데이터를 포함하고 있어 다양한 라벨링 기능이 적용된 도구 개발이 필요하다. 본 논문에서는 의료영상의 라벨링 데이터를 정교하고 빠르게 생성하기 위한 라벨링 웹 애플리케이션에 대해서 기술한다. 이를 구현하기 위해서 Back Projection, Grabcut 기법을 이용한 반자동 방식과 기계학습 모델을 통해서 예측한 자동 방식의 라벨링 기능을 구현하였다. 이와 관련하여 라벨링 기능별 수행 결과를 근감소증 진단을 위한 영상 라벨링 수행결과와 정량분석 결과를 보였다.

• The Journal of the Korea Contents Association
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• 제14권5호
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• pp.1-7
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• 2014

Nowadays hospitals have been improving their job performances through informatization and also establishing an advanced, integrated medical information system through their manager's decision making support system in order to play roles as a hub hospital providing high quality medical services integrated with ICT technology. This study connects the OCS system and HIS system to the integrated medical information system to design an optimized, customized mobile health care and medical treatment environment and also investigates the systematic medical system that can perform patients' cure and medical treatment promptly and accurately in order to maximize convenience of treatment by inquiring into patients' information and information of medical treatment promptly.

• Annual Conference of KIPS
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• 한국정보처리학회 2021년도 추계학술발표대회
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• pp.887-890
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• 2021

최근 AI 를 활용한 의료 진단 솔루션 시장이 크게 성장함에 따라 의료 인공지능 기술에 대한 대학 교육에 대한 수요가 증가하고 있지만, 개인정보 유출의 위험성 등으로 인하여 의료 데이터를 대학 교육에 활용하기 어려운 실정이다. 본 논문에서는 실제 의료 데이터 대신 생성적 적대 신경망(GAN)으로 합성된 흉부 X-ray 영상을 활용한 의료 인공지능 교육 모델의 사례를 제시한다. 프로메디우스(주)에 의해 제공받은 흉부 X-ray 합성영상을 사용하여, VGG-16 모델을 훈련하고 성능을 검증 및 평가하며 미세조정을 통해 성능을 개선하는 교육 모델을 구성하였다. 또한 교육모델이 의료 인공지능에 대한 학생들의 이해력 향상에 기여한 효과를 정량적으로 평가하였다.

• Journal of Korean Electronics
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• 제29권8호
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• pp.17-22
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• 2009

첨단의료기기산업과 바이오산업은 유망한 미래 신산업이다. 바이오산업은 건강(Red), 환경(White), 식량(Green) 등 인류 난제 해결에 필요한 기술 및 제품 개발을 통해 고부가가치를 창출하는 미래 신산업인이다. 핵심 장애요인은 최고기술국 대비 핵심원천기술 확보가 미흡하고, 전반적 기술수준이 선진국 대비 60$\sim$70% 수준이다. 기업중심의 R&D 지원이 미흡하고, 고위험-고수익형 사업성격상 장기투자 부담에 따른 민간투자가 미흡하다.

• Journal of the Korea Convergence Society
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• 제9권2호
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• pp.119-124
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• 2018

The augmented reality(AR) technology enables to acquire various image information at the same time by combining virtual image information with the user's viewpoint. These AR technologies have been used to visualize patients' organs and tissues during surgery and diagnosis in the fields of Image-Guide Operation, Surgical Training, and Image Diagnosis by medical convergence, and provides the most effective surgical methods. In this paper, we study the technical features and application methods of each element technology for medical fusion of AR technology. In the AR technology for medical convergence, display, marker recognition and image synthesis interface technology is essential for efficient medical image. Such AR technology is considered to be a way to drastically improve current medical technology in the fields of image guide surgery, surgical education, and imaging diagnosis.

• Information and Communications Magazine
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• 제32권1호
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• pp.63-75
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• 2014

정보통신기술의 발전과 생산되는 데이터의 양적 증가에 따라 빅데이터에 대한 관심이 증대되고 있다. 빅데이터(Big Data)란 기존 데이터베이스의 데이터 저장 관리 분석 능력을 초과하는 다양한 형식을 가진 대량의 데이터를 의미한다. 여러 분야에서 빅데이터가 생성, 분석, 활용되고 있는데, 특히 보건의료 및 바이오 분야에서의 빅데이터 분석은 사회경제적으로 큰 영향력을 발휘할 수 있기 때문에 크게 주목 받고 있다. 본 연구에서는 보건의료 분야에서 생성되는 데이터의 특징과 빅데이터 분석 프로세스에 대해서 조사하였고, 국내 외 빅데이터 정책 및 활용사례를 분석하였다. 그리고 현재의 빅데이터 활용 장벽을 극복할 수 있는 몇 가지 전략을 제시하였다. 대량의 데이터에서 유용한 정보를 생성해내는 빅데이터 분석 기술은 보건의료 및 바이오 분야에서 국가경쟁력을 향상시키는 중요한 기반이 될 것이다.