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上传于：2016-03-24

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    188宝金博页面版: Context-Aware Emergency Remedy System Based on Pervasive…

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    内容提示： Context-Aware Emergency Remedy System Based On Pervasive Computing Hsu-Yang Kung, Mei-Hsien Lin, Chi-Yu Hsu, and Chia-Ni Liu Department of Management Information Systems National Pingtung University of Science and Technology 1 Hsueh Fu Rd., Nei Pu Hsiang , Pingtung, Taiwan 91207 {kung, mslin, m9356020, m9156014}@mail.npust.edu.tw Abstract. This study proposed a Context-Aware emergeNcy rEmedy system (CANE), based on the operations of a real hospital, to provide complete and convenient functions for emerg...

    文档格式：PDF | 页数：10 | 浏览次数：17 | 上传日期：2016-03-24 13:50:41 | 文档星级：
    Context-Aware Emergency Remedy System Based On Pervasive Computing Hsu-Yang Kung, Mei-Hsien Lin, Chi-Yu Hsu, and Chia-Ni Liu Department of Management Information Systems National Pingtung University of Science and Technology 1 Hsueh Fu Rd., Nei Pu Hsiang , Pingtung, Taiwan 91207 {kung, mslin, m9356020, m9156014}@mail.npust.edu.tw Abstract. This study proposed a Context-Aware emergeNcy rEmedy system (CANE), based on the operations of a real hospital, to provide complete and convenient functions for emergency processes and medical consultants using mobile communication networks. The CANE system combines emergency medical services with GIS/GPS technology, mobile multimedia communications and context-aware controls. The CANE system largely focuses on allowing the EMT personnel to arrive at the accident location in the shortest possible time and give first aid the proposed dispatching procedure and the GPS/GIS location-aware service. When an ambulance is on the way to the specified hospital, the EMT can deliver the patient’s symptoms, including the data of the medical equipment and the audios/videos of the patient, to the hospital doctor via the personal communication network, e.g., GPRS. Based on real-time multimedia information, a physician can recommend to EMT the most suitable treatment for the patient on the way to the hospital. 1 Introduction With the wide deployment of wireless/mobile communications and the increase in the number of wireless/mobile users, mobile information services, such as the telemedicine application system over mobile medical network [1], [2], [3], [4], [5], [6], have become popular. For mobile telemedicine services [7], [8], [9], users can apply handheld devices, e.g., Smart Phone, PDA, or Tablet PC, to connect with the medical network and to access medical information via the on-line hospital. These pervasive healthcare and pervasive telemedicine services can improve communications among patients, physicians and other healthcare workers, and enable accurate medical information to be delivered anytime and anywhere, thereby reducing errors and improving access [10], [11], [12]. As human society progresses, levels of natural and man-made calamities/accidents increase significantly [13]. In a natural or man-made accident, the arrival of the Emergency Medical Technician (EMT) arrives at the accident location quickly to treats the patient is the most important for saving a patient’s life. However, some situations are unpredictable and uncontrolled [14], [15], [16]. For example, the ambulance driver might not know the correct accident location very well, or the

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