• Journal of Internet Computing and Services
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• v.8 no.1
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• pp.57-70
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• 2007

This paper is to construct a healthcare database using information obtained from healthcare home environments, and use this one for healthcare home services, Especially, our researching focus in this paper is how to design healthcare database scheme and how to use this constructed database on the Framework for Supporting Healthcare Integrated Service(FSHIS) we developed previously. Healthcare information is designed to database schemes in accordance to the specific save types of the data collected from various typed-sensors. The healthcare database constructed by using this information for the purpose of healthcare home services is divided into the base information with real schemes and the context based information with view schemes. Firstly, the base information includes low data obtained from physical sensors relevant to locations, healths, environments, and the personnel healthy profiles. The other is the context based information that is produced and fused by using the based information. This context based information might be got via various view schemes according to healthcare application services. Finally, for verifying the practical use of healthcare database constructed in this paper, Via interconnecting this database to our FSHIS, we show an example of healthcare home monitoring service using information (basic and context based information), emergency call, home appliance control, and so on needed from living activity area for elderly living alone.

• Journal of Internet Computing and Services
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• v.11 no.2
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• pp.31-40
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• 2010

In this paper, we propose a service component based on active model for supporting a variety of u-healthcare application services. It implemented that component as a classification of function for developing healthcare application services. Especially we focus on the adaptive information service in integrated environment using a distributed object technologies of the various healthcare home service based on distributed object group framework. And we shows the service component applying to Healthcare application services such as healthcare home monitoring, mobile monitoring and web based monitoring. Also, we show the performance evaluation results such as response time, system load and network load.

• Journal of the Korea Convergence Society
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• v.9 no.6
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• pp.1-7
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• 2018

As IT technology develops recently, medical equipment used in hospitals is demanding high performance. However, since the user visits different hospitals depending on the user's situation, the medical information treated at the hospital is distributed among the hospitals. In this paper, we propose a model to efficiently integrate the health care information of the users stored in the hospital in order to collect the healthcare information of the users who visited the different hospitals. The proposed model synchronizes users' healthcare information collected from personal wearable devices to collect user - centered healthcare information. In addition, the proposed model performs integrity and validity check related to user's healthcare information in a database existing in a cloud environment in order to smoothly share data with the healthcare service center. In particular, the proposed model enables tree - based data processing to smoothly manage healthcare information collected from mobile platforms.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10a
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• pp.209-213
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• 2006

기존 센서 데이터 처리를 위한 대부분의 연구는 특정응용 메커니즘을 갖는 중앙 집중형 구조를 사용하고 있다. 데이터는 미리 정의된 방법으로 수집되어 중앙 서버의 전형적인 DBMS에 의해 저장된다. 그러나 다양한 센서의 등장은 각 센서의 서로 다른 특성 때문에 기존의 방법으로는 센서로부터 수집된 데이터를 처리하거나 관리하기 어려운 문제점을 야기 시켰다. 따라서 본 논문에서는 이기종의 센서로부터 수집된 정보를 구축하고 이를 위해 우리가 그동안 연구한 헬스케어 프레임워크 기반에서 센서 매니저를 추가 구현하였다. 제안된 센서 매니저는 이기종의 센서로부터 수신된 스트림 형식의 데이터를 처리하고, 각 센서 데이터의 변화 정도에 따른 수집 주기 설정 및 데이터베이스에 저장하기 위한 기능을 포함하고 있다. 센서 매니저의 수행성을 검증하기 위해 Mica2 Mote와 Cricket 센서로부터 수집된 데이터 처리과정과 헬스케어 데이터베이스 관리 도구를 통해 데이터베이스에 저장된 정보를 확인하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.1
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• pp.146-152
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• 2010

In this paper, we implemented the intelligent healthcare system self-diagnosis that can achieve self-diagnosis by measured bio-signal(blood pressure, blood sugar, body fat monitor) after the recognize a user to access using RFID. The implemented healthcare self-diagnosis intelligent system is consist of kiosk structure that is RFID reader, bio-signal measuring instrument(hemadynamometer, glucometer, body fat monitor), computer for a part of database server and printer for print the result of self-diagnosis. It can achieve self-diagnosis of a user after compare and analyze the measured data and information of a user from database. The implemented system can make simple self-diagnosis even if not take a physical examination at hospital and apply to company, school, etc.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.947-949
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• 2013

개인 휴대단말기로부터 측정된 생체정보 데이터가 PHR에 데이터베이스화되기 위해서는 응용 계층 표준 프로토콜인 HL7 CDA 표준에 따라야 한다. 하지만 국제 표준 HL7 CDA는 병원 시스템 간 의료정보 전달을 위한 프로토콜이기 때문에 개인 건강 기기로부터 측정된 생체 정보가 IEEE 11073 PHD 표준에 준하여 전달하더라도 HL7 CDA 프로토콜과 연동될 수 없다. 즉, 모바일 단말기 기반의 u-헬스케어 모니터링 서비스를 위해서는 IEEE 11073 PHD와 HL7 CDA 간 메시지 변환 게이트웨이가 필요하다. 이에 본 논문에서는 개인 휴대단말기를 통해 원격지에 있는 의료진이 사용자의 생체데이터를 실시간 관리하기 위해 ISO/IEEE 11073과 HL7 CDA 간 메시지 변환 게이트웨이 및 HL7 기반 진단지원시스템을 설계하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.899-902
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• 2009

As computer network and wireless technology continue to grow rapidly, a wide range of remote application has been applied to medical field such as remote medical consulting and remote patient monitoring. This research aims to design RF telecommunication-based healthcare application to collect and manage patient's physiological data, and describe the overall procedure of experiment. MySQL database is designed to record patient's physiological data including temperature, blood pressure and heart rate and save information about medical behaviors such as doctor's prescription for patients. Therefore, users approved by healthcare application can query patient's data and collected data can be used to reorganize data for clinical test. As a result, temperature and humidity of patient's room which must be checked frequently can be processed automatically through ubiquitous sensor network. The information entered from mobile phones or web is saved in database, ensuring systematical management through computer. Moreover, patient's family members can easily access hospital data, improving their experience with medical service.

• ICROS
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• v.22 no.4
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• pp.27-34
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• 2016

몸에 착용할 수 있는 컴퓨터인 웨어러블 디바이스의 기능이 구글 글래스와 애플 워치 이후 빠른 속도로 발전하고 있다. 특히 헬스케어 분야에서 엄청난 속도로 진화하고 있다. 구글은 스마트 워치로 자기장을 주면서 암세포를 손목밴드에서 파괴시킬 수 있는 내용의 특허를 내고, 실용화에 박차를 가하고 있다. 헬스케어 웨어러블 디바이스에서 측정되는 모든 개인 생체정보가 데이터베이스로 연결되고, 이 빅데이터가 건강관리와 예방치료에 활용되면 청춘 100세, 수명 120시대는 달성될 수 있다는 전망이다. 하루가 멀다하고 신제품, 신기술이 발표되고 있는 헬스케어용 웨어러블 디바이스의 최근의 개발 동향 및 응용 현황에 대해 정리하여 보았다.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.53-61
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• 2020

Recently, as the uncontact service is activated in earnest due to the Corona 19 virus, the necessity of system development to provide non-face-to-face contact remote medical service has increased. In this study, we propose a smart healthcare system, Rm_She(Remote Medical Smart Healthcare System). Rm_She can collect and manage various vital signs information by connecting various healthcare products that detect bio-signals based on IoT to one application. The health check app (HC_app) is used to connect vital sign measurement devices to a wireless LAN and receive vital sign values from the HC_app. Then, the vital signs are output to the user on the smartphone, and the corresponding information is transmitted to the healthcare management server. The healthcare server receives the measured values and stores them in a database, and the stored measured values are provided as a web service so that medical staff can remotely monitor them in real time.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.3
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• pp.781-793
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• 2010

Recently, owing to the development of ubiquitous sensor network and mobile communication technologies, many studies on healthcare system are being carried out. In this paper, we have designed and implemented a mobile u-Healthcare system based on sensor network. The u-Healthcare system is composed of three components: wireless sensor network at home, healthcare center located at remote site, and gateway which relays sensing physiological signals to healthcare center. In order to measure patient's physiological signal three sensors are used: three channel ECG sensor, pulse oximeter, and blood pressure sensor. Each sensor is mounted on a mote which can send gathered signal to the base node using Zigbee communication protocol. Once the base node receives physiological signal from each sensor, the client in the base node transfers the signal to the healthcare center. The received physiological signal at the healthcare center is analyzed and processed using various algorithms. The processed results are compared to the standard healthcare database and appropriate treatment including dietetics and exercise cure would be sent to the patient as feedback using SMS message or healthcare center web site. Each patient can check and manage one's health state every day using the healthcare system and gain a recovery under the treatments from minor health problems.