• 한국컴퓨터정보학회논문지
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• 제20권7호
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• pp.91-97
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• 2015

In this paper, we designed a emergency medical image communication system EMICS added concept of emergency medical image to the existing emergency medical information system based on DICOM. Also we suggested a emergency medical image object EMISPS of EMICS. Using EMICS, the emergency medical technician can work together with emergency doctor. Therefore the patient can take more stable care than existing emergency medical information system. Using EMISPS, the emergency medical technician can get exact situation information of the patient.

• International Journal of Internet, Broadcasting and Communication
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• 제14권1호
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• pp.122-128
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• 2022

Minimization of human casualties in disaster situations is of paramount importance. In particular, if a marine disaster occurs, it can be directly connected to human casualties, so prompt action is needed. In the event of a marine disaster, the route and location of movement should be identified and life tubes should be used to float on the water. This paper designs and proposes an emergency IoT notification system that can quickly rescue drowning people. The maritime emergency IoT notification system consists of four main types. First, an emergency IoT device that detects the expansion of the life tube and delivers location and situation information to the emergency IoT notification server. Second, an emergency IoT web server that manages emergency information and provides notification. Third, a database server that stores and manages emergency IoT notification information. And finally, an emergency notification app that can receive and respond to emergency notification information. The emergency IoT device consists of a TPMS(Tube Pressure Monitoring System) device that checks the pressure value of the TPMS in real time and sends it to the IoT device, and an IoT device that sends the rescuer's voice information and emergency information to the emergency IoT server. Emergency information is delivered using the MQTT(Message Queuing Telemetry Transport) protocol, and voice information is delivered to the IoT server as HTTP FormData.

• 대한의용생체공학회:의공학회지
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• 제28권5호
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• pp.703-712
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• 2007

In this paper, we designed the RFID(Radio Frequency Identification) Emergency Medical Information System(REMIS). This REMIS offers the emergency patient's medical information using RFID and HL7(Health Level 7) to an emergency medical technician. In emergency situation as like coma, if the communication, from the patient's current location to the hospital, is possible, REMIS offer the medical information of the patient through REMIS server to an emergency medical technician. In the state of communication blocked, REMIS can offer the patient identification and the emergency information through RFID tag, which the patient wear, to an emergency medical technician. When this system was designed, the protection of the patient's medical information and their privacy was considered, and the HL7 was used to be compatible with another medical systems. Therefore, in this paper, REMIS was designed that it is always possible to offer the emergency patient's information to an emergency medical technician regardless of any communication status and to improve the emergency rescue process, effectively.

• 디지털산업정보학회논문지
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• 제8권2호
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• pp.59-65
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• 2012

Emergency medical information center performs role of medical direction about disease consult and pre-hospital emergency handling scheme work to people. Emergency medical information system plays a major role to be decreased mortality and disability of emergency patient by providing information of medical institution especially when emergency patient has appeared. But, various attacks as a hacking have been happened in Emergency medical information system recently. In this paper, we proposed security structure which can protect the system securely by detecting attacks from outside effectively. Intrusion detection was performed using rule based detection technique according to protocol for every packet to detect attack and intrusion was reported to control center if intrusion was detected also. Intrusion detection was performed again using decision tree for packet which intrusion detection was not done. We experimented effectiveness using attacks as TCP-SYN, UDP flooding and ICMP flooding for proposed security structure in this paper.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권8호
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• pp.2772-2786
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• 2022

We had researched an automatic authentication-supported medical information platform[6]. The proposed automatic authentication consists of user authentication and mobile terminal authentication, and the authentications are performed simultaneously in patients' emergency conditions. In this paper, we studied on finding emergency conditions for the automatic authentication by applying big data processing and AI mechanism on the extended medical information platform with an added edge computing system. We used big data processing, SVM, and 1-Dimension CNN of AI mechanism to find emergency conditions as authentication means considering patients' underlying diseases such as hypertension, diabetes mellitus, and arrhythmia. To quickly determine a patient's emergency conditions, we placed edge computing at the end of the platform. The medical information server derives patients' emergency conditions decision values using big data processing and AI mechanism and transmits the values to an edge node. If the edge node determines the patient emergency conditions, the edge node notifies the emergency conditions to the medical information server. The medical server transmits an emergency message to the patient's charge medical staff. The medical staff performs the automatic authentication using a mobile terminal. After the automatic authentication is completed, the medical staff can access the patient's upper medical information that was not seen in the normal condition.

• 한국응급구조학회지
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• 제16권3호
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• pp.29-43
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• 2012

Purpose : The goal of the present study is to provide the basic information to medical control which is the most important improving factor of pre-hospital medical treatment. Method : A total of 749 records of direct medical control were collected from 119 EMTs in emergency medical information center of Daejeon, Chungcheongnam-do and Chungcheongbuk-do from March 1, 2010 to February 28, 2011. Results : The 119 EMTs should record the level of qualification of EMT and general patient history taking precisely when they receive direct medical controls. The doctors should take medical controls within the task range of qualification of EMTs. Conclusion : It is necessary to establish the guideline of medical direction and protocol of prehospital emergency care. The quality improvement of pre-hospital emergency services will be possible by the guideline and protocol.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권4호
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• pp.1049-1065
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• 2023

Recently, with the development of IoT, AI, and mobile terminals, medical information platforms are expanding. The medical information platform can determine a patient's emergency situation, and medical staff can easily access patient information through a mobile terminal. However, in the existing platform, emergency situation decision is delayed, and faster and stronger authentication is required in emergency situations. Therefore, we propose an edge computing-based medical information platform for automatic authentication using patient situations. We design an edge computing-based medical information platform architecture capable of rapid transmission of biometric data of IoT and quick emergency situation decision, and implement the platform data flow in emergency situations. Relying on this platform, we propose the automatic authentication using patient situations. The automatic authentication protects patient information through patient-centered authentication by using the patient's situation as an authentication factor, and enables quick authentication by automatically proceeding with mobile terminal authentication after user authentication in emergencies without user intervention. We compared the proposed platform with existing platforms to show that it can make quick and stable emergency decisions. In addition, comparing the automatic authentication with existing authentication showed that it is fast and protects medical information centered on patient situations in emergency situations.

• 한국컴퓨터정보학회논문지
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• 제28권2호
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• pp.121-129
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• 2023

이 논문에서 우리는 응급상황에 대응하여 일정 구간의 교통신호를 능동적으로 제어함으로써 재산과 인명 손실을 최소화할 수 있는 응급상황 대응 교통신호 제어 시스템을 개발하였다. 응급 차량 단말기에서 식별정보 및 GPS 정보를 포함한 응급신호를 송출하면 카메라에서 주위 영상을 획득하게 되고, 딥러닝 기반으로 객체를 분석하여 객체의 위치, 종류, 크기 등 정보를 가지는 객체정보를 출력한다. 이 객체를 트래킹한 정보를 생성하여 신호체계를 검출한 후 신호체계를 응급모드로 전환하여 수신받은 GPS 정보를 기준으로 응급 차량을 식별·추적하고 이 응급 차량의 진행 경로 기준으로 긴급 제어신호를 교통신호 제어기로 전송할 수 있는 체계이다. 이 시스템은 응급신호에 따라 우선 적용되는 긴급 제어신호에 의해 응급 차량의 진행이 저지되지 않도록 하여, 교통상 장애에 따른 인명과 재산의 손실을 최소화할 수 있다.

• 한국응급구조학회지
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• 제24권3호
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• pp.29-40
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• 2020

Purpose: This study looked into the reality of the emergency medical technology department by analyzing the major indicators of university information disclosure systems and finding the competitiveness of the department of emergency medical technology by reviewing various evaluation indices. Methods: This study is a survey of 24 colleges with emergency medical technology and emergency medical technology departments across the country. Quantitative index data from 2017 to 2019 were collected and analyzed through the university information disclosure center web site. Results: Departments of emergency medical technology are generally higher than the target colleges in quantitative indicators, but the indices are somewhat insufficient in terms of "rate of faculty in full service" and "research performance of per one faculty in full service." Conclusion: Based on the results of this study, we recommend increasing the low indicators to enhance the competitiveness of the departments of emergency medical technology.

• 한국정보전자통신기술학회논문지
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• 제3권4호
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• pp.28-34
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• 2010

본 논문은 인체의 생체 신호를 이용하여 응급상황을 예측할 수 있는 의료정보 시스템을 제안한다. 기존의 응급상황 관리를 위한 연구들은 대부분 바디 센서 네트워크를 중심으로 연구되고 있다. 이들 연구의 문제점은 응급상황이 발생한 후에 단순히 응급상황만을 전달하기 때문에 실제 상황이 발생하여 응급조치까지는 시간이 걸리는 응급조치 지연문제를 가지고 있다. 이러한 문제는 환자들에게 심하면 치료 불능상태에서 사망에까지 이르게 할 수 있다. 이러한 문제를 해결 하기위해서는 응급상황이 발생하기 전까지의 사전 응급징후를 파악하여서 신속히 응급조치를 할 수 있도록 응급상황에 대한 예측이 필요하다. 이를 위해서 본 논문은 센서 네트워크 기술, 인터넷 정보검색 기술, 데이터 마이닝 기술 및 의료정보와 개인정보 보호를 위한 보안 기술을 융합하여 응급상황을 예측할 수 있는 의료정보 시스템을 제안하고자 한다.