• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.1 no.3
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• pp.33-40
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• 2008

The TMO may contain two types of methods, time-triggered methods(also called the spontaneous methods of SpMs) which are clearly separated from the conventional service methods (SvMs). The SpM executions are triggered upon design time whereas the SvM executions are triggered by service request message from clients. In this paper, we describes the application environment as the patient monitor telemedicine system with TMO structure. Vital sign information web viewer systems is also the standard protocol for medical image and transfer. In order to embrace new technologies as telemedicine service, it is important to develope the standard protocol between different systems in the hospital, as well as the communication with external hospital systems. It is able to apply to remote medical examination and treatment. Through the proper data exchange and management of patient vital sign information, real time vital sign information management will offer better workflow to all hospital employee.

• IEMEK Journal of Embedded Systems and Applications
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• v.10 no.1
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• pp.33-40
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• 2015

The number of people who are suffering from chronic sleep disorder has been growing dramatically in modern era. In order to diagonse the sleep disorder, sleep doctors perform polysomnography: Patients sleep with attaching several vital sign sensors on their body, and doctors monitor the patients in order to find the exact reason of the sleep disorder. Typical polysmonography makes patients sleep with several sensors on their bodies, which prevents the patients from making a comfortable sleep. Furthermore, it is impossible to have a long-term monitoring since the measurements should be done in sleep hosiptal within a few hours. In order to tackle these problems in the typical polysomnography, we envision the development of a non-contact long-term home polysomnography system using UWB radar and related technologies such as multi-modal signal processing.

• Journal of information and communication convergence engineering
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• v.4 no.2
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• pp.67-70
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• 2006

A distributed healthcare monitoring system prototype for clinical and trauma patients was developed, using wireless sensor network node. The proposed system aimed to measure various vital physiological health parameters like ECG and body temperature of patients and elderly persons, and transfer his/her health status wirelessly in Ad-hoc network to remote base station which was connected to doctor's PDA/PC or to a hospital's main Server using wireless sensor node. The system also aims to save the cost of healthcare facility for patients and the operating power of the system because sensor network is deployed widely and the distance from sensor to base station was shorter than in general centralized system. The wireless data communication will follow IEEE 802.15.4 frequency communication with ad-hoc routing thus enabling every motes attached to patients, to form a wireless data network to send data to base-station, providing mobility and convenience to the users in home environment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.357-360
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• 2008

Vital sign monitoring system using IEEE 502.IS.4 based wireless sensor network(WSN) is designed and developed on mobile environment and sensor node platform. WSN and CDMA are integrated to create a wide coverage to support various environments like inside and outside. We developed query processor to use selective any devices(ECG, Blood pressure and sugar module) and control of the self-organizing network of sensor nodes in a wireless sensor network. Vital sign from wireless medical any devices are analysed in cell phone first for real time signal analyses and the abnormal vital signs are sent and save to hospital server for detail signal processing. wireless signal traffic in wireless sensor network environment or data communication inside the cell phone is reduced.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.1
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• pp.221-228
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• 2018

Big data is an important keyword in World's Fourth Industrial Revolution in public and private division including IoT(Internet of Things), AI(Artificial Intelligence) and Cloud system in the fields of science, technology, industry and society. Big data based on services are available in various fields such as transportation, weather, medical care, and marketing. In particular, in the field of sports, various types of bio-signals can be collected and managed by the appearance of a wearable device that can measure vital signs in training or rehabilitation for daily life rather than a hospital or a rehabilitation center. However, research on big data with vital signs from wearable devices for training and rehabilitation for baseball players have not yet been stimulated. Therefore, in this paper, we propose a system for baseball infield and outfield players, especially which can store and analyze the momentum measurement vital signals based on big data.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.667-669
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• 2004

본 논문에서는 경제성, 효율성, 확장성 및 개발의 편의성을 고려한 환자 모니터링 모바일 시스템의 개발 사례를 보고한다. 특히 생명징후(Vital Sign) 중에서도 체온(Body Temperature)을 모니터링 하는 모바일 시스템 MBTMS 개발을 다루었다. MBTMS(Mobile Body Temperature Monitoring System)는 다음과 같이 세 부분으로 구성된다: (1) 환자의 체온들 수집하기 위한 센서, (2) 센서를 통해 체온을 측정하는 모듈, (3) 모듈에서 전달받은 자료를 처리 분석, 저장하는 PC(Personal Computer) Application으로 구성된다. 이러한 MBTMS는 입원환자 및 노약자를 위한 경제적인 PMS(Patient Monitoring System) 개발 및 e-Health 연구의 한 부분으로 활용될 수 있을 것이다.

• Journal of Electrical Engineering and Technology
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• v.10 no.1
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• pp.364-371
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• 2015

In this study, we developed a feasible structure of a textile-based inductive sensor using a machine embroidery method, and applied it to a non-contact type vital sign sensing device based on the principle of magnetic-induced conductivity. The mechanical heart activity signals acquired through the inductive sensor embroidered with conductive textile on fabric were compared with the Lead II ECG signals and with respiration signals, which were simultaneously measured in every case with five subjects. The analysis result showed that the locations of the R-peak in the ECG signal were highly associated with sharp peaks in the signals obtained through the textile-based inductive sensor (r=0.9681). Based on the results, we determined the feasibility of the developed textile-based inductive sensor as a measurement device for the heart rate and respiration characteristics.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.426-429
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• 2006

A distributed healthcare monitoring system prototype for clinical and trauma patients, was developed, using wireless sensor network node. The proposed system aimed to measure various vital physiological health parameters like ECG and body temperature of patients and elderly persons and transfer his/ her health status wirelessly in Ad-hoc network, to remote base station which was connected to doctor's PDA/PC or to a hospital's main Server using wireless sensor node. The system also aims to save the cost of healthcare facility for patients and the operating power of the system because sensor network is deployed widely and the distance from sensor to base station was shorter than in general centralized system. The wireless data communication will follow IEEE 802.15.4 frequency communication with ad-hoc routing thus enabling every motes attached to patients, to form a wireless data network to send data to base-station, providing mobility and convenience to the users in home environment.

• The Korean Journal of Rehabilitation Nursing
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• v.4 no.1
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• pp.94-104
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• 2001

The purpose of this study was to analysis of nursing interventions performed by the ICU nurses to the patients with cerebrovascular disorder practically from one university hospital in Seoul. The data were collected from 15 nurses with 86 cerebrovascular disorder cases from one ICU with the questionaire to write frequency of nursing care done by the surveyee from May, 2, 2000 to July, 3, 2000 and the list of 66 nursing interventions selected out of 433 NIC(Nursing Interventions Classification) of Iowa University which were translated into Korean (44 items) and core nursing interventions by ICU nurses (22 items; KIm, Su-Jin, 1997). The data were analysed with SPSS program. The results are as follow : 1. The most frequently used nursing interventions were vital sign monitoring, fall prevention, cerebral edema management, dysreflexia management, neurologic monitoring, cardiac care, communication enhancement, technology management, bed rest care, respiratory monitoring in rank. 2. The most frequently used nursing intervention domains were 'Physiological : Complex', 'Physiological : basic', 'Behavior', 'Safty', 'Health system' in rank. In the domain of physiological : basic, the most frequently used nursing interventions were bed rest care, urinary elimination management, tube care : urinary, physical restraints in rank. In the domain of physiological : complex, the most frequently used nursing interventions were cerebral edema management, dysreflexia management, neurologic monitoring, cardiac care in rank. In the domain of behavior, the most frequently used nursing interventions were communication enhancement, touch, active listening in rank. In the domain of safty, the most frequently used nursing interventions were vital sign monitoring, fall prevention in rank. In the domain of health system, the most frequently used nursing interventions were technology management, specimen management in rank. 3. some difference of the frequency practicing the nursing interventions according to the shift of duties was found. For example, medication administration was common at day duty, touch was practiced at evening duty, temperature regulation was performed.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.9
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• pp.1680-1687
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• 2007

A hospital room has multiple patient monitoring devices at the bedside to monitor his or her status. However, vital sign monitors, ventilator and other bedside devices are made by a variety of different manufacturers and often cannot easily interface to the hospital information system. Medical environments incorporate complex and integrated data networks to transfer vast amounts of patient information, such as images, waveforms, and other forms of digital data. Hence, to assure interoperability of images, waveforms and patient data, Health Level Seven (HL7) was developed as an international standard to facilitate the communicating and storing of medical data. In this study, we developed middleware capable of receiving data from mCare 300 vital signs monitoring devices and converting the data to HL7 data format. The HL 7 middleware streamline clinical workflow and support patients. Therefore, clinical expertise are empowered to respond to dynamic healthcare situation as soon as they emerged, and consequently quality of care while helping to reduce the length of a patient's stay in a hospital.