• Proceedings of the Korean Information Science Society Conference
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• 2012.06d
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• pp.322-324
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• 2012

사람의 제어 없이 기기간에 통신하는 M2M(Machine to Machine) 통신은 우리의 삶의 중요한 부분으로 자리 잡아가고 있다. 특히 M2M의 한 부분으로써 헬스케어는 많은 연구가 진행되는 분야이다. 현재, 헬스케어 센서들은 환자의 상태를 모니터링하고 환자의 상태 정보를 의사에게 알려준다. 하지만, 만약 우리가 헬스케어 센서에 좀 더 지능성을 부여 할 수 있다면 환자가 위험 상황에 처하기 전 미리 판단하여 위험성을 의사에게 알려주어 보다 신속한 조치를 취하도록 할 수 있다. 본 논문에서는 M2M 네트워크의 헬스케어 시나리오에서 지능형 모바일 센서 에이전트의 구현을 설명한다. 이 센서 에이전트는 환자의 혈압을 측정하고 지능형 아답터와 매니저를 이용하여 원격의 의사에게 해당 정보를 알려준다.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11b
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• pp.849-852
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• 2003

유비쿼터스의 한 분야인 센서 네트워크를 이용하여 병원에서 환자들의 신체상태를 점검하는 Health-Care 시스템을 제안, 구성하였다. 환자들의 상태를 판별하는 중요한 정보인 체온과 심박을 측정하기 위한 센서를 사용하였고 센서정보를 액세스 포인트를 이용하여 수집, 전송하여 병원의 관리자에게 환자들의 상태를 24시간 모니터링 한 수 있게 하여, 환자들의 이상발생시 보다 빠르고 효율적으로 대처할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.1421-1424
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• 2005

본 논문은 통신 기술과 의료 센서 기술을 접목하여 일상생활에서 병원을 찾아가지 않고도 환자가 심전도, 호흡, 혈압 등을 측정 관리 할 수 있도록 한 헬스케어 시스템을 소개한다. 본 시스템을 통하여 환자 몸의 센서 데이터와 병원안의 시스템 사이에 체계적이 컴퓨팅 환경을 구축 할 수 있고, 더불어 환자가 자신의 상태의 효율적으로 관리할 수 있을 뿐 아니라 원격지의 의료진들이 환자의 상태를 모니터링 하고 응급상황 발생 시 그에 알맞은 최적의 의료 서비스의 제공이 가능해진다. 더불어, 웹을 통하여 진찰 및 치료를 제공 할 수 있도록 하여 인터넷이 가능한 곳이면 언제 어디서나 최적의 의료 서비스를 제공하고, 받을 수 있도록 하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.213-214
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• 2009

무선 센서들의 진보에 따라 환자의 상태를 모니터링 하거나 정보를 저장 후 원거리에 있는 의사들의 진단 제공이 가능하게 되었다. 하지만 환자의 데이터의 양에 비해 의사의 수가 적으므로 환자가 진단을 제공 받는데 시간적인 한계가 있다. 따라서 본 연구에서는 환자의 상태를 1 차적으로 자동 진단하는 시스템을 제안한다. 전체 데이터의 적용을 위해 Circadian rhythm에 기반한 데이터 직접방법을 제안하고 데이터를 효율적으로 분류하기 위해 PSO(Particle Swarm Optimization)을 기반으로 하는 분류화 알고리즘을 적용하여 시스템의 수행속도 향상을 도모하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.9
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• pp.1791-1798
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• 2016

Recently, research about ESS(Emergency Support System) has been actively carried out to provide a variety of medical services using smart devices and wearable devices. Smart healthcare provides a personalized health care service using various types of bio-signal measuring sensors and smart devices. For the smart healthcare using a smart device, it is need to research about personal health monitoring using a smart wearable devices, and also need to research on service methods for first aid measures after an emergency. In this paper, we proposed about group management based emergency support system, that is monitoring about personal bio signal using smart devices and wearable devices to protect patient's life. The system notices to the medical volunteers based on the position information when an emergency situation. In addition, we have designed and implemented an emergency support system providing the information of the patient on the display when transmitting a picture of a patient using a smart device to the server.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.9 no.2
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• pp.153-160
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• 2015

With the development of recent IT fusion technology, IT fusion technology of medical equipment has been dramatically development. The need to most basic preferential implementation of emergency is the respiration of the patient, it is necessary to first aid is maintained in emergency patients airway simultaneously. However, to the endotracheal intubation is a procedure to secure the airway, it requires experience and first aid, Inc. good career, very that may lead to sequelae in patients who otherwise have failed to procedures It is a sensitive and important procedure. For these reasons, the success rate of current endotracheal intubation technique is not at a high level and about 50 percent. In an attempt to complement these problems, in this paper, in the process of endotracheal intubation, intubated by inserting an endoscopic camera to Into Activation tube, the streaming is a real-time monitoring and wireless video transmission method using, there is a purpose of enabling the monitoring in smart devices increase the success rate of endotracheal intubation of first aid purchases.

• Korean Journal of Clinical Laboratory Science
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• v.56 no.2
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• pp.105-114
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• 2024

Clinical laboratories endeavor to secure quality by establishing effective quality management systems. However, laboratory environments are complex, and single quality control procedures may inadequately detect many errors. Patient-based real-time quality control (PBRTQC) is a laboratory tool that monitors the testing process using algorithms such as Bull's algorithm and several variables, such as average of normal, moving median, moving average, and exponentially weighted moving average. PBRTQC has many advantages over conventional quality control, including low cost, commutability, continuous real-time performance monitoring, and sensitivity to pre-analytical errors. However, PBRTQC is not easily implemented as it requires statistical algorithm selection, the design of appropriate rules and protocols, and performance verification. This review describes the basic concepts, methods, and procedures of PBRTQC and presents guidelines for implementing a patient-based quality management system. Furthermore, we propose the combined use of PBRTQC when the performance of internal quality control is limited. However, clinical evaluations were not conducted during this review, and thus, future evaluation is required.

• Journal of the Institute of Convergence Signal Processing
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• v.9 no.2
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• pp.104-111
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• 2008

The ECG is biomedical electrical signal occurring on the surface of the body due to the contraction and relaxation of the heart. This signal represents an extremely important measure for health monitoring, as it provides vital information about a patient's cardiac condition and general health. ECG signals are contaminated with high frequency noise such as power line interference, muscle artifact and low frequency nose such as motion artifact. But it is difficult to filter nose from ECG signal, and errors resulting from filtering can distort a ECG signal. The present study implemented a small-size and low-power ECG measurement system that can remove motion artifact for convenient health monitoring during daily life. The implemented ECG monitoring system consists of ECG amplifier, a low power microprocessor, bluetooth module and monitoring program. Amplifier was designed and implemented using low power instrumentation amplifier, and microprocessor was interfaced to the ECG amplifier to collect the data, process, store and feed to a transmitter. And bluetooth module used to wirelessly transmit and receive the vital sign data from the microprocessor to an PC at the receiving site. In order to evaluate the performance of the implemented system, we assessed motion artifact rejection performance in each situation with artificially set condition using adaptive filter.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.4
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• pp.64-72
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• 2008

Researchers nowadays are trying to implement u-Healthcare (ubiquitous Healthcare) systems for real-time monitoring and analysis of patients' status through a low-cost and low-power wireless sensor network. u-Healthcare system has an aim to provide reliable and fast medical services for patients regardless of time and space by transmitting to doctors a large quantity of vital signs collected from sensor networks. Existing u-Healthcare systems can merely monitor patients' health status. However, it is not easy to derive physiologically meaningful results by analyzing rapidly vital signs through the existing u-Healthcare systems. We introduce a Grid computing technology for deriving the results by analyzing rapidly the vital signs collected from the sensor network. Since both sensor network and Grid computing use different protocols, a gateway is needed. In addition, we also need to construct a gateway which includes the functions such as an efficient management and control of the sensor network, real-time monitoring of the vital signs and communication services related to the Grid network for providing u-Healthcare services effectively. In this paper, to build an advanced u-Healthcare system by using these two technologies most efficiently, we design and present the results to implement a SensorGrid gateway which connects transparently the sensor network and the grid network.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.6
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• pp.957-966
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• 2018

Recently, the demand for remote patient monitoring based on IoT has been increased due to aging population and an increase in single-person household. A non-contact biological signal measurement system using multiple IR-UWB radars for remote patient monitoring is proposed in this paper. To reduce error signals, a multilayer Subtraction algorithm is applied because when the background subtraction algorithm was applied to the biological signal processing, errors occurred such as voltage noise and staircase phenomenon. Therefore, a multilayer background subtraction algorithm is applied to reduce error occurrence. The multilayer background subtraction algorithm extracts the signal by calculating the amount of change between the previous clutter and the current clutter. In this study, the SVD algorithm is used. We applied the improved multilayer background subtraction algorithm to biological signal measurement and computed the respiration rate through Fast Fourier Transform (FFT). To verify the proposed system using IR-UWB radars and multilayer background subtraction algorithm, the respiration rate was measured. The validity of this study was verified by obtaining a precision of 97.36% as a result of a control experiment with Neulog's attachment type breathing apparatus. The implemented algorithm improves the inconvenience of the existing contact wearable method.