• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.1239-1240
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• 2015

본 논문은 구강내 장치를 이용한 악정형 치료에 있어 환자가 장치를 장착하는 시간과 적용되는 응력과 변형률을 측정하여 치료결과의 완성도를 높이는 데에 있어, 근접무선통신 장치인 NFC(Near Field Communication)를 매개로하여 구강내외 장치의 상태를 모니터링하는 방안에 대한 고찰을 중점적으로 수행하였다. 구강내외에 상태를 계측하기 위한 센서를 설치하고 근접무선통신을 이용하여 병원에서 내원한 환자 상태의 모니터링을 구현하는 시스템을 설계하였으며 무선전력송신 시험을 수행하여 설계변수에 대한 민감도를 살펴보았다.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2006.06a
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• pp.113-116
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• 2006

최근 무선센서네트워크 기술을 이용한 다양한 시도가 이루어지고 있으며 특히 헬스케어분에서 활발히 연구되어지고 있다. 본 연구에서는 무선센서노드를 이용하여 계측된 생체신호를 바탕으로 환자의 상태 및 진단을 위한 기초자료를 활용하기 위한 시스템을 구현하였다. 생체신호로 ECG(electrocardiogram)와 체온 파라미터를 사용하였으며 ECG신호의 QRS특성점을 축출하기 위해 Pan&Tomkins에 개발된 알고리즘을 사용하였다. 또한 효율적인 모니터링을 위해 비정상적인 ECG신호에 대한 알림기능을 구현하였으며 이러한 감시기능은 상시 모니터링을 하지 않고도 환자의 상태를 알 수 있게 하였다. 본 연구에서 구현된 이러한 시스템기술은 국내의 고령화 문제로 발생되는 의료비용을 크게 감소시킬 수 있을 것으로 예상된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.11a
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• pp.429-432
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• 2006

기존의 u-HealthCare 서비스는 환자에 대해서 일정한 공간에서의 센서의 on/off 타입에 대한 모니터링/환자관리의 서비스를 제공하였다. 이러한 환경하에서의 주된 서비스는 현재 환자의 상태에 대한 수동적인 형태이다. 이러한 문제점들을 해결하기 위해 센서 데이터에 대한 연속센서 데이터마이닝 기법을 이용한다. USN의 응용서비스인 u-HealthCare 서비스는 센서데이터로부터 생체정보 및 위치정보를 이용하여 환자/보호자/관련 의료진에게 필요한 정보를 제공한다. 이것은 환자에 대한 관리/모니터링뿐만 아니라 환자의 상태에 따른 센싱(sensing)된 데이터를 이용한 패턴(pattern), 예측-(prediction), 이상치(outlier)를 분석함으로써 보다 나은 서비스를 제공할 수 있다. 본 논문에서는 센서 데이터에 대해 새로운 연속 센서데이터 마이닝 기법을 적용하여 질의를 통해 지식을 추출하고 보다 지능화된 서비스를 제공할 수 있는 응용서비스 기법을 제안한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.07a
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• pp.101-102
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• 2015

본 논문에서는 다수의 생체계측 정보를 MDEC(Medical Device Exchange Communication) 기반의 공통모듈을 이용하여 중앙 집중 관리를 위한 CMS(Central Monitoring System)를 제안한다. 기존의 바이탈사인 모니터 등은 환자별로 부착되어 다수의 환자에 대한 이상 징후를 실시간으로 모니터링하기에는 어려움이 있다. 이에 본 논문에서는 다수의 계측 장비를 통합하는 공통모듈인 MDEC을 이용하여 집중 모니터링이 가능한 CMS을 구현하였다. 계측장비와 MDEC의 패킷 송수신을 위한 프로토콜을 설계하고 네트워크로 전송된 패킷은 CMS에 표시되며 데이터베이스에 저장된다. 본 연구의 결과는 급속히 증가하는 병원내 환자 관리 및 효율적 의료서비스에 기여할 것으로 사료된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.258-261
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• 2016

환자가 가정에서 네트워크를 통해 자신의 건강정보를 원격지에 위치한 의사에게 전송하여 이에 대한 진단을 받는 원격건강정보 모니터링 시스템에서 환자의 개인건강정보의 보호는 매우 중요한 과제이다. 본 논문에서는 신원기반 프록시 재암호화 기법을 사용하여 환자가 다수의 의사를 선택하여 각 의사들에게 개인건강정보를 전송하여 진단을 받는 환경을 가정하여 환자가 가지는 연산부담을 줄이기 위해 환자의 비밀키로 생성한 암호문을 프록시가 재암호화하여 의사가 가진 비밀키로 복호화 할 수 있도록 하는 기법을 제안한다.

• Clinical and Experimental Pediatrics
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• v.51 no.1
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• pp.62-66
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• 2008

Purpose : In addition to epileptic seizures (ES), a variety of physiologic, organic and psychogenic disorders can manifest as paroxysmal behavioral events. Paroxysmal nonepileptic events (PNEs) are quite encountered in infants, young children, and adolescents. In a substantial proportion of cases, a careful history and examination will elucidate their nature. However, in other cases, it is necessary to differentiate PNEs from ES by video-electroencephalographic (EEG) monitoring. We report our experiences with PNEs in a group of children and adolescents who underwent video-EEG monitoring. Methods : From September, 2004 to June, 2006, one hundred thirty patients were monitored in the Pediatric Epilepsy Monitoring Units of Korea University Guro and Ansan hospitals. Their hospital charts were reviewed and video records of these events were analyzed. We observed all patients after video-EEG monitoring for more than 3 months. Results : Typical spells occurred during monitoring in 33 patients, not associated with a seizure pattern on EEG recordings. Two patients were diagnosed as frontal lobe epilepsy on basis of typical semiology and clinical characteristics, so 31 patients were documented to have PNEs finally. The mean age of patients was $7.2{\pm}5.8\;years$. The male to female ratio was 15 (48.4%) to 16 (51.6%). Among 31 patients, fifteen patients had associated disorders such as epilepsy, developmental delay, cerebral palsy, gastric ulcer, attention deficit hyperactivity disorder or depressive disorder. Somatoform disorder and factitious disorder was frequently seen in children more than 5 years old (P<0.05). Psychogenic disorder was more frequent in female (n=6) than in male (n=2) but there was no statistical significance (P>0.05). Conclusion : Our study suggests that video-EEG monitoring is an important diagnostic tool in the evaluation of paroxysmal behavioral events. With correct diagnosis of the PNEs, several unnecessary treatment could be avoided.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.12
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• pp.1106-1113
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• 2013

For patients who have senile mental disorder such as dementia, quantity of excercise and amount of sunlight are important clue for dose and the treatment. Therefore, monitoring health information of daily life is necessary for patients' safety and healthy life. Portable & wearable sensor device and server configuration monitoring data are needed to provide these services for patients. Watch-type device(smart watch) which patients wear and server system are developed in this paper. Smart watch developed includes GPS, accelerometer and illumination sensor, and can obtain real time health information by measuring the position of patients, quantity of exercise and amount of sunlight. Server system includes the sensor data analysis algorithm and web server that doctor and protector can monitor through sensor data acquired from smart watch. The proposed data analysis algorithm acquires quantity of exercise information and detects step count in patients' motion acquired from acceleration sensor and to verify this, the three cases with fast pace, slow pace, and walking pace show 96% of the experimental result. If developed u-Healthcare System for dementia patients is applied, more high-quality medical service can be provided to patients.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.6
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• pp.50-59
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• 2014

In mobile healthcare service, the accurate detection and the notification of the emergency situation are important to chronic patients' life. In the existing healthcare service, the medical staff or medical service provider always judges patients' health status by monitoring from the measured from bio-data. However, it is difficult to monitor many patients in real-time simultaneously, because the medical staff should monitor the health status continuously. Furthermore, an emergency condition diagnosis based solely on the statistical level of the bio-data may be difficult, since the emergency judgment of the bio-data might differ depending on the health characteristics of each person such as age, history of disease, gender, etc. In order to solve this problem, this article presents an mobile healthcare system for emergency bio-data management using a personalized emergency policy. The salient feature of the proposed mobile healthcare system is that the characteristics of the health status of an unique patient is defined to the policy, which is used to judge the emergency condition of the bio-data measured from the patient. The prototype of proposed mobile healthcare system has been built to demonstrate the design concept.

• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.10-19
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• 2014

In recent, hospital information systems are widely used to electronically record, manage and share the data collected in hospitals. Such systems have contributed greatly to improving the work efficiency in modern hospitals, however, the collected data concerning the patients should be appropriately processed and reused to provide the healthcare service providers with decision supports. Especially, this paper proposes the patient flow monitoring system for the operations management of the outpatient department for patients with chronic diseases, and discusses the related issues. The proposed system visualizes the standard process model extracted from the patient history data and various performance measures, and this enables the managers to evaluate and enhance the operations of the outpatient clinic. In this paper, the patient flow monitoring system is applied to the rheumatology clinic, and the prototype system optimized for I-pad is illustrated.

• The Journal of the Korea Contents Association
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• v.11 no.5
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• pp.57-66
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• 2011

In recent years, health management services have been increased according to the increase in interests on health and the development of information technology (IT) based on increases in advanced ages and chronic disease patients. Thus, it requires the monitoring of health conditions and the specialized healthcare services not only in a hospital but also their own home. This study provides the specific notification services related to the context information based on users' bio signal data and the notification services of specific patients and attempts to develop a hypertension monitoring system and a notification service system according to indexes. Because this system considers the context of users by differing it from the conventional monitoring services, it makes possible to obtain more exact measurement values. In addition, it is able to reduce certain health risks through managing specific patients and based on living indexes. Also, it can provide more customized services to users due to the exact and finely classified services.