• Journal of Acupuncture Research
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• v.27 no.6
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• pp.115-122
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• 2010

Objectives : The purpose of this study was to propose the utilization plan of Ryodoraku in the U-health care systems. Methods : Computerized literature searches were performed for Ryodoraku related articles using the following databases: KISS, RISS, DBPIA, NDSL from 1990 to Oct 2010. Search terms were '양도락' or 'Ryodoraku' or 'U-health'. Due to Ryodoraku coming from Japan, additional literature review(articles published by 2008) on Japanese journal of Ryodoraku medicine was done for compensation. Results : 1. Introduction of U-health : As rapid progress of population aging and strong interest in health, the demand for the traditional Korean medical service is increasing. Until now healthcare service has provided post treatment by face-to-face manner. But according to related researches, proactive treatment is resulted to be more effective for preventing diseases. Particularly, the existing healthcare services have limitations in preventing and managing chronic geriatric degenrative diseases such as metabolic syndrome, CVA, coronary heart diseases, parkinson's diseases, degenerative joint disease, spondylosis, etc., because the cause of the above is complex and even related to life habit. As the advent of ubiquitous technology, patients with the chronic geriatric degenrative diseases can improve life habit such as poor eating habits and physical inactivity without the constraints of time and space through u-healthcare service. Therefor, lots of researches for u-healthcare service focus on providing the personalized healthcare service for preventing and managing that. To cope with this situations, The concept of u-healthcare service should be adopted in the traditional korean medicine and diagnostic devices suitable for it should be also devised and developed based on traditonal korean medine. 2. Review of existing Ryodoraku related articles for applying to U-health : articles investigating feasibility applying Ryodoraku to meridian diagnosis and raising problems of it, articles providing recent research trends of Ryodoraku, Ryodoraku related articles considering usefulness for U-health, and articles confirming the repeatability and reproducity of Ryodoraku were included. Based on the review of the above Ryodoraku related articles, several application of Ryodoraku in the U-health care system. Conclusions : To make preparations for the increasing need of traditional Korean medicine due to rising morbidity rate of chronic geriatric degenerative diseases, it is necessary to appropriately apply Ryodoraku to the U-health care system. The application of Ryodoraku is as follows. 1. To use Ryodoraku additionally to the established diagnostic device of metabolic syndrome, CVA, coronary heart diseases, parkinson's diseases, degenerative joint disease, spondylosis. 2. To apply Ryodoraku to the symptoms or diseases having a tendency to be diagnosed by correlation between the affected meridian and the lesion such as headache, nuchal pain, shoulder pain, low back pain, sciatica, HNP, etc. 3. To secure the repeatability and reproducity of Ryodoraku. 4. To devise and develop Ryodoraku appliance in order to overcome the known drawbacks and to improve error of measurement.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.614-616
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• 2015

Current U-Healthcare has become specialized in Wellness center in the prevention of future health care concept of a health center, treatment. Wellness is the development of which has been emerging field of fitness system to evolve along with the key areas of U-Healthcare. Traditional Fitness system, one between the trainer and the user: 1. Consultation was only possible, the number of trainers are limited, this problem can be reduced individual coaching time existed as more number of users who can receive coaching at certain times of the day. In this paper, we design a mechanism that allows management by grouping field value of a DB table in the user's BMI(Body Mass Index) index and fitness trainer system to efficiently coaching a plurality of users similar BMI index.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.392-394
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• 2013

최근 u-Healthcare 서비스에서 다양한 생체정보를 간편하게 측정하는 개인건강기기(PHD)와 측정된 정보를 전송하고 수집하기 위한 표준의 필요성이 제품 간의 이식성, 확장성, 상호 운영성을 보장하기 위해 크게 대두되고 있다. 개인건강기기에서 측정된 생체정보(산소포화도, 몸무게, 심전도, 혈압 등)를 ISO/IEEE 11073 기반인 Bluetooth Health Device Profile을 이용해서 스마트폰으로 실시간 모니터링 할 수 있는 시스템을 설계한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.410-413
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• 2012

최근 네트워크를 이용한 온라인 원격 진료 서비스가 논의 되고 있는 시점에서 원격 진료 서비스에서도 특정 환자에게 맞는 의료 서비스 매칭 서비스에 대한 필요성이 핫 이슈로 대두되고 있다. 따라서 본 논문은 Mobile SmartPhone 환경에서 환자 맞춤형 의료 서비스 지원 시스템을 설계하고 온라인상에서 환자에게 맞는 의료 기관을 매칭하여 특정 환자에게 맞는 최적의 의료 서비스를 제공하는 시스템을 설계 하고자 한다.

• Journal of Digital Convergence
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• v.6 no.3
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• pp.139-147
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• 2008

-Healthcare란 건강관련 정보를 시간과 공간의 제약 없이 수집, 처리, 전달, 관리할 수 있게 해줌으로써 원격지 의료서비스를 제공하는 것을 말한다. 본 논문은 USN을 활용하여 원격에서 측정된 의료정보를 수집하여 서버에 전달하는 미들웨어 시스템을 시뮬레이션 했다. 헬스 케어기기에서 측정된 데이터를 USN을 통해 원격지의 서버로 전송하는데, 데이터의 전송에는 근거리 무선통신기술인 Zigbee를 사용하였다. 이러한 과정에서 헬스 케어기기와 서버사이에 미들웨어를 두어 측정된 이진코드 데이터를 텍스트데이터로 변환하여 서버의 헬스케어 시스템에 저장한다. 서버에 저장된 환자들의 의료정보는 의료진이 활용할 수 있도록 했다. 또한, 미들웨어 시스템에서는 데이터의 필터링을 통해 불필요한 데이터를 삭제해 서버의 부하를 줄여서, 외부 어플리케이션의 질의에 대한 정보제공을 용이하게 했다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.702-705
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• 2010

요즘 현대인들의 최우선 관심사라고도 할 수 있는 '웰빙(Well-Being)'과 다가올 '고령사회'를 대비하여 유무선 네트워킹 기술을 활용하여 "언제 어디서나" 이용 가능한 건강관리 및 의료서비스가 필요하다. u-Healthcare 시스템을 이용하여 개인의 건강상태를 실시간으로 모니터링하고 치료나 관리가 필요한 적절한 시점에 자동으로 조치를 취하기 때문에 개인은 최상의 건강상태를 유지할 수 있고 편리한 한방 의료서비스를 제공받을 수 있다. 본 논문에서는 심전도(ECG), 혈압, 맥박 등의 생체신호 측정센서를 이용한 센서네트워크 기반 u-Healthcare 시스템을 설계하고 구현하였다. 센서노드에서 게이트웨이를 경유한 생체신호는 healthcare센터로 전송되며, 질환별 건강관리 표준 프로그램을 통하여 생체신호를 분석하고 예측된 병증에 관련된 운동요법, 식이요법, 한방요법 등의 정보를 환자에게 피드백하여 건강관리를 할 수 있게 하였다.

• Journal of Korea Multimedia Society
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• v.17 no.2
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• pp.170-179
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• 2014

Recently the U-Healthcare system has been rapidly advanced to manage emergence rescue for seniors. We can access emergency rescue systems with high quality services anytime, anywhere under ubiquitous healthcare systems. The more the various systems develop, the more software security systems become important. Therefore, the safety-critical system has been widely spread to the world by advancement of the information and communication technologies. There are a lot kind of fault analysis methods to evaluate software security systems. However due to characteristics of software that is not applied by human error, it can be prevented the enormous damages and losses from improving the safety of safety-critical system. So this paper proposes an integration method of FTA and Forward and Backward FMECA. This method has each strength of FTA and FMECA which is visual and numeric in normalization. First, by use of FTA, we can redraw FTA with Forward FMECA and Backward FMECA in consideration of occurrence, severity, detection, correctness, robustness, and security. Also according to value of NRVP at each event, we can modify FTA diagrams as shown critical paths given by severity and occurrence. Also, we propose the improved emergency rescue service platform of ubiquitous healthcare systems through identifying priorities of the criticality according to normalized risk priority values (NRPV).

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.4
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• pp.53-57
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• 2009

In this paper to computerized patient management of patients applying for a facial recognition algorithm to extract Face Feature Points environment, the implementation of the U-Healthcare offers. First, mobile devices and the pictures and photos of the patient data used as input data, the algorithm AdaBoost Face Feature Points patterns extracted, then stored in an existing database, extracted from the patient's sample photos, matching patterns and makes Face Feature Points. The result is the same patient if the patient information database, in recognizing the disease, doctors, and medical fields to extract the relevant information on the screen to output devices, the patient will present the implementation of recognition system.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.8C
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• pp.680-689
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• 2012

U-healthcare is maintaining of users' health without limitations from where and when they are. As it is important to guarantee compatibility between heterogeneous systems in U-healthcare, a medical information standard is compulsory. An adequate standard means that it is easy to understand and it can cover wide range of information types and various medical devices. Among them, HL7(Helath Level 7) has those traits, but HL7 is not adequate for non-text message, especially for medical waveform. JAHIS suggested an appropriate standard, that is MFER. MFER has many advantages for representation of medical waveform, but it is still not good for real-time applications. In U-healthcare, there are lots of needs for real-time application, so we need a standard that can have useful properties of MFER and HL7, and support real-time. In this article, there are two main topics. The first one is introducing MFER and HL7. Second, the new scheme(TS-MFER with HL7) is developed by modifying MFER and HL7 for real-time applications.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.12
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• pp.2159-2164
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• 2008

Ubiquitous healthcare system is system that monitors and manages user's health information, and most important in the healthcare system is accuracy of the measured health data. But, the accuracy changes remarkably according to user's motion artifacts in real life. To elevate accuracy of health data, we proposed new algorithm to detect maximum point of pulse wave for heart rate extraction. and the proposed algorithm is to detect maximum points detect of pulse wave in photo-plethysmography signal included motion artifacts by fuzzy inference and multi sub-band filters. In results of experiment to evaluate the performance of the proposed algorithm, we could verify the proposed algorithm extracted maximum point of pulse wave in complex motion artifacts.