• Journal of the Korean Operations Research and Management Science Society
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• v.37 no.4
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• pp.225-238
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• 2012

The purpose of this study is to examine the factors influencing usage intention of u-Healthcare with voluntariness in long-term care hospitals. This model tests various theoretical research hypotheses relating to u-Healthcare, UTAUT theory and voluntariness. The proposed model is analyzed to target long-term care hospitals. Questionnaires have been collected during two months of 2010 and total 142 has been considered to be valid. Smart PLS (partial least square) 2.0 and SPSS 15.0 have been utilized for deriving the study results. The results of hypothesis testing are as follows. First, performance expectance, effort expectancy and social influence positively influence usage intention. Second, facilitation not influence usage intention. Still due to lack of technical infrastructure to promote conditions of use u-Healthcare in long-care hospitals for u-Healthcare system also considered to be not significantly affected. Finally, performance expectance to usage intention for low voluntariness group is significantly larger than those for high voluntariness group. In addition, social influence to usage intention for high voluntarines group is significantly larger than those for low voluntariness group.

• Journal of Biomedical Engineering Research
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• v.29 no.5
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• pp.337-342
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• 2008

To date, many researchers have developed a variety of biosensors to detect the biomolecular interactions. Recently, electrochemical biosensors have been attracting great interest as one of key technologies in a ubiquitous healthcare (U-healthcare) system since they are highly sensitive and feasible to miniaturize. Here we overview the current electrochemical biosensors based on strip-type, nanowire/nanotube, field effect transistor (FET), and nanogap electrode.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.7
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• pp.1628-1634
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• 2011

With the advancement of ubiquitous computing technology, u-Healthcare (i.e. ubiquitous health care), is regarded as a key application for information society, which provides health management service at anytime in anywhere. To implement U-Healthcare system, it is essential to monitor stable biological information in daily life. In this paper, we proposed a small size, light weight, patch type real time temperature monitoring system based on wireless sensor network (WSN) technology to monitor patients' body temperature without any inconvenience of activity.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.4
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• pp.260-264
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• 2009

There have been many studies on u-Healthcare system for human using sensor network systems. In this paper, we design and implement a healthcare system for pets called uPetCare(Ubiquitous Pet-Care System) that can manage the status of pet on the web. The main functions of this system are 1) gathering data using sensor network, 2) multi-hop communication in sensor network, 3) data compression and aggregation at sink node, 4) storing data in web server, 5) real-time data monitoring using AJAX, 6) activity recognition of pet.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.3
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• pp.103-112
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• 2008

In this paper we present two databases for two different systems each having novel implementation ideas: a u-Healthcare system with a mobile gateway and MAGI network monitoring system. u-Healthcare system is capturing and monitoring vital sign data without restrictions of location and time using body sensor network and a mobile gateway. MAGI is a system which has a dynamic firewall function and solves problems of existing traffic monitoring tools. In addition to presenting the design principles behind these two systems, we describe the respective database schemas together with detailed information of the data stored within the databases. We will also show and discuss performance measurements and calculations for both systems. Based on the performance data we will discuss the systems' suitability for their intended uses.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.3
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• pp.656-664
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• 2013

U-healthcare system supports healthcare service of prevention, diagnosis, medical treatment and currently various medical service systems. Therefore, utilization of medical information thru hospitals, medical agencies is unevitable in this society. However, the standard draft of HL7 which is a standard of medical information does not support specification of medical information being used currently. Thus, in this paper, we study standard HL7 message system to analyze and adjust the medical information and it will help to utilize efficient medical information and the method is verified to be sufficiently effective.

• 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.

• Journal of Korean Biological Nursing Science
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• v.15 no.4
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• pp.164-172
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• 2013

Purpose: The aim was to measure the real-time trans-mission effect of blood-pressure and blood-glucose value based on u-healthcare for saving the time and effort of nursing recording time. Methods: This study used a u-healthcare system based on the international standards for the exchange of health information. In order to verify the effectiveness of the u-healthcare, a clinical trial for the system regarding blood-pressure and blood-glucose targeting of patients with endocrine disorders at KNUH from February 7 to 9, 2012 was performed. Results: According to the analyzed results, of the 86 times the 11 patients were tested, measuring blood-pressure and blood-glucose using the u-healthcare system, we found the time differences between the real-time transfer recording method and existing hospital records that were used in the hospital. Based on the average time interval, there was a difference of 1,090.45 seconds (18.17 minutes). Conclusion: Therefore, it's cumbersome that nurses in the hospital have to record the numerical values of the measured blood-pressure and blood-glucose manually and input the recorded values directly into the electronic nursing record system. However, it was found in terms of the newly designed system, that it could save time and effort for nurses, since measured information is sent to the hospital information system on a real-time basis.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.1065-1068
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• 2006

u-Healthcare는 의료 장비 및 센서 등을 이용하여 획득된 생체 신호 및 의료정보를 유 무선의 통신수단을 통해 지식 기반의 의료정보로 구축하고 이를 언제, 어디서, 누구든지 이용 가능한 실시간 u-Healthcare 지원 환경을 구축하여 지능형 의료정보 웹 포털 서비스를 제공하는데 목적을 두고 있는 서비스이다. 하지만 현시점에서의 시스템은 생체 신호 및 의료 정보 제공시에 보안에 대한 고려가 이루어지고 있지 않다. 이러한 자원들은 개인 프라이버시에 직결되는 것으로 보안의 필요성이 대두된다. 따라서 본 논문에서는 IP망에서 생체신호 전송을 위한 전송시스템을 설계하고 전송시 생체신호정보에 대해 사용자 인증과 암호화를 적용하여 u-Healthcare 전송시스템을 설계하고 구현하였다.

• International journal of advanced smart convergence
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• v.2 no.1
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• pp.1-5
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• 2013

This study proposes a remote monitoring of patients and emergency notification system with a camera and pulse wave sensor for U-Healthcare. The proposed system is a server client model based U-Healthcare system which consists of wireless clients that have micro-controller, embedded-board for patient status monitoring and a remote management server. The remote management server observes the change of pulse wave data individually in real-time sent from the clients that is to be remote-monitored based on the pulse wave data stored by users and divides them into caution section and emergency section. When the pulse wave data of a user enters an emergency situation, the administrator can make a decision based on the real-time image information and pulse rate variability. When the status of the monitored patient enters the emergency section, the proposed U-healthcare system notifies the administrator and relevant institutions. An experiment was conducted to demonstrate the pulse wave recognition of the proposed system.