Wireless sensor network system for supporting nursing context-awareness

作     者：Naya, Futoshi Ohmura, Ren Miyamae, Masakazu Noma, Haruo Kogure, Kiyoshi Imai, Michita 

作者机构：NTT Communication Science Laboratories 2-4 Hikaridai Seika-cho Soraku-gun Kyoto 619-0237 Japan Department of Computer Science Toyohashi University of Technology 1-1 Hibari-ga-oka Tenpaku-cho Toyohashi Aichi 441-8580 Japan WESTUNITIS Co. Ltd. 3F Funakoshi Center Bldg. 2-4-6 Funakoshi-cho Chuo-ku Osaka 540-0036 Japan Intelligent Robotics and Communication Laboratories Advanced Telecommunications Research Institute International 2-2-2 Hikaridai Seika-cho Soraku-gun Kyoto 619-0288 Japan Department of Robotics Kanazawa Institute of Technology 3-1 Yatsukaho Hakusan Ishikawa 924-0838 Japan Department of Information and Computer Science Keio University 3-14-1 Hiyoshi Kohoku-ku Yokohama Kanagawa 223-8522 Japan 

出 版 物：《International Journal of Autonomous and Adaptive Communications Systems》 (Int. J. Auton. Adapt. Commun. Syst.)

年 卷 期：2011年第4卷第4期

页      面：361-382页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0810[工学-信息与通信工程] 1205[管理学-图书情报与档案管理] 1004[医学-公共卫生与预防医学(可授医学、理学学位)] 1002[医学-临床医学] 1001[医学-基础医学(可授医学、理学学位)] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0804[工学-仪器科学与技术] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Wireless local area networks (WLAN) 

摘      要：We developed a wireless sensor network system for supporting context-awareness of nursing activities in hospitals. Our system is aimed at automated recording of nursing work, providing context-aware services to nurses and visualising analytical results from nursing histories. The system consists of heterogeneous devices utilising three kinds of wireless networks: a ZigBeeTM (ZigBee is a registered trademark of the ZigBee Alliance)-based location sensor network, a BluetoothTM (Bluetooth is a trademark owned by Bluetooth SIG, Inc., USA)-based body-area sensor network for capturing nurse activities and a Wi-FiTM (Wi-Fi is a registered trademark of the Wi-Fi Alliance)-based network for communication between PDAs worn by nurses and a server PC. We illustrate the layered structure of the entire system as well as algorithms for estimating nurse locations and activities during their operations in a hospital. These estimated results are managed by a real-time database system with which nurse contexts can be visualised in real time on a server PC and/or PDAs. We also show empirical results evaluating the performance of retrieving, analysing and visualising detailed nursing contexts. Copyright © 2011 Inderscience Enterprises Ltd.