• 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.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.3
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• pp.131-137
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• 2010

UMSN (Ubiquitous Medical Sensor Network) is being used in u-Healthcare system of various medical facilities to identify objects and get information from sensors in real-time. RFID using radio frequency determines objects using Reader, which reads Tags attached to patients. However, there is a security vulnerability wherein Tag send its ID to illegal Reader because Tags always response to Readers request regarding of its Tag ID. In this paper, we propose Tag ID Classification Scheme to reduce Back-end Server traffic that caused by requests to authenticate between Readers and Tags that are attached to medical devices, patients, and sensors; To reduce security threats like eavesdropping and spoofing that sometimes occurred during authentication procedure. The proposed scheme specifies the patient category as a group based on patients Tag ID string. Only allowed Reader can perform authentication procedure with Back-end Server. As a result, we can reduce Back-end Server traffic and security threats.

• Journal of the Korea Society of Computer and Information
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• v.19 no.5
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• pp.27-35
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• 2014

The characteristics of today's health care industry, based on the state of the art IT can be represented as a paradigm of human-oriented ubiquitous and accessible as possible by U-Health care. In addition, the healthcare industry is information and communication technologies (ICT) developments regarding the many advances and applications based on the research being carried out actively. Medical information system has been developed toward combining information systems of medical IT and it sets its sights on the fusion of developed IT and u-healthcare system. So changing distributed medical information systems into a safe PHR integrated system based on IaaS cloud computing is suggested in order to forge u-healthcare system with the times in this paper. Our experimental results show that our proposed system increased the data access time by about 24% and reduces the waiting time for processing service by about 4.3% over the web-based PHR.

• The Journal of the Convergence on Culture Technology
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• v.1 no.4
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• pp.107-111
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• 2015

Humans must restore tired bodies and minds during sleep. Sleep as much as eating a meal many people looking for a hospital can not sleep, but a matter of course. The smart phone is loaded in the most recent studies it has been conducted to provide a service to the patient or medical personnel U-healthcare in the field of smart phone-based medical applications as with a variety of sensors, including an acceleration sensor. In this paper, the aim of providing an Android-based applications to use a variety of sensors incorporated in the popularity of smart phones to induce normal water flow to recognize the user's action.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.11a
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• pp.425-428
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• 2005

Healthcare is a research field suitable for applying the recent ubiquitous techniques. As a test system, we developed a kind of CDSS (Clinical Decision Support System) running in ubiquitous environment. called as 'uCDSS'. The uCDSS is a core system of the ubiquitous healthcare and is composed of some 'uMLMs(Ubiquitous Medical Logic Modules)'. The uMLMs based on the class in C# programming language could be reused in development of CDSS, or another EHR system running in .NET environment. As a test system, we developed the DM(Diabetes Mellitus knowledge system using ASP.NET. This system shows the potential of C# class-based uMLMs and the extensibility to any .NET development project.

• 한국IT서비스학회:학술대회논문집
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• 2007.05a
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• pp.484-487
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• 2007

u-Health 관련 보건 비용의 지속적인 증가와 건강 및 사전 예방에 대한 관심이 증가함에 따라온라인을 통한 상담, 정보제공, 동영상 서비스 및 e-commerce등 건강 관련 서비스 시장 확대가 되고 있다. 국내 의료산업은 원무행정 분야에 대한 초기 정보화 단계에 있으며, 대학/종합 병원들의 IT예산은 급속히 증가하고 있으나, 중소형 병/의원/약국의 경우 IT 투자예산 확보 문제가 있다. 이를 대처하기 위해 u-Health와 Wellness를 통합 함으로서 BT, NT 및 IT 관련 기술을 활용하여 u-Fitwellness 시스템을 구축 Ubiquitous 네트워크를 통해 고객에게 건강과 의료관련 서비스, 제품, 정보를 제공하고 개인의 삶의 질을 향상시킴으로써 홈 네트워킹 기반 u-Health Total Solution을 통한 융합형 시스템 서비스를 제공하고자 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.513-516
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• 2015

Healthcare industry is one of the rapidly increasing sphere from high technology IT products and wireless communication. In particular, increase in aging society korea and whole world peoples want to treat whenever and wherever rather than go to the hospital. Accordingly, and also brand new companies which has creative ideas are being founded nowadays. As the development of healthcare industry, many different kind of health care devices is being developed use internet of things. Therefore we are conducted a surveying aimed at healthcare customer and analyse the healthcare use trend and development direction in this dissertation.

• The Korean Journal of Health Service Management
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• v.10 no.4
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• pp.153-165
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• 2016

Objectives : Recently, concern about the ubiquitous healthcare industry has increased worldwide. This study estimated the economic effects of the ubiquitous healthcare industry by Input-Output Analysis. Methods : In this study, $384^*384$ sector statistics of the Bank of Korea were used as the initial analysis tool, after adjustments, $9^*9$ sector statistics were used as the major research method for that industry. The main analysis tools of this study included a comparison of the backward and forward linkage effects, as well as the induced effects of the self-industry and other industries and the induced coefficients including products, value-added, employee's pay, sales surplus, and employment. Results : Based on the results of the analysis, the ubiquitous healthcare industry has great economic impacts which affects major macroeconomic factors including production and the backward linkage effect. Additionally, the induced effects of the self-industry, the ubiquitous healthcare industry, are significant compared to other industries in terms of production, employee's pay and operating surplus. Conclusions : The ubiquitous healthcare industry is a growth engines for national development. This paper offers alternatives for efficient industrial policies.

• Journal of Sensor Science and Technology
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• v.20 no.2
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• pp.137-144
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• 2011

Wireless sensor network(WSN) has the potential to greatly effect many aspects of u-healthcare. By outfitting the potential with WSN, wearable sensor node can collects real-time data on physiological status and transmits through base station to server PC. However, there is a significant gap between WSN and healthcare. WSN has the limited resource about computing capability and data transmission according to bio-sensor sampling rates and channels to apply healthcare system. If a wearable node transmits ECG and accelerometer data of 4 channel sampled at 100 Hz, these data may occur high loss packets for transmitting human activity and ECG to server PC. Therefore current wearable sensor nodes have to solve above mentioned problems to be suited for u-healthcare system. Most WSN based activity and ECG monitoring system have been implemented some algorithms which are applied for signal vector magnitude(SVM) algorithm and ECG noise algorithm in server PC. In this paper, A wearable sensor node using integrated ECG and 3-axial accelerometer based on wireless sensor network is designed and developed. It can form multi-hop network with relay nodes to extend network range in WSN. Our wearable nodes can transmit 1-channel activity data processed activity classification data vector using SVM algorithm to 3-channel accelerometer data. ECG signals are contaminated with high frequency noise such as power line interference and muscle artifact. Our wearable sensor nodes can remove high frequency noise to clear original ECG signal for healthcare monitoring.

• 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.