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Issue title: Papers from the International Multi-Conference on Engineering and Technology Innovation 2016 (IMETI2016), 28 Oct.–1 Nov. 2016, Taichung, Taiwan
Guest editors: Wen-Hsiang Hsieh
Article type: Research Article
Authors: Lin, Ke-Fenga | Lin, Shih-Sungb | Hung, Min-Hsiungc | Kuo, Chung-Hsiend | Chen, Ping-Nane; *
Affiliations: [a] Graduate Institute of Applied Science and Technology, National Taiwan University of Science and Technology, Taipei 106, Taiwan | [b] Department of Electrical and Electronic Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan 335, Taiwan | [c] Department of Computer Science and Information Engineering, Chinese Culture University, Taipei 111, Taiwan | [d] Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan | [e] Department of Biomedical Engineering, National Defense Medical Center, Taipei 114, Taiwan
Correspondence: [*] Corresponding author: Ping-Nan Chen, Department of Biomedical Engineering, National Defense Medical Center, Taipei 114, Taiwan. Tel.: +886 2 87923100 Ext. 18155; E-mail: g931310@mail.ndmctsgh.edu.tworg931310@gmail.com.
Abstract: BACKGROUND: Local hospitals must deal with large numbers of patients during mass casualty incidents, and the wireless sensor networks (WSNs) can help in these situations by monitoring vital signs. Conventional ZigBee nodes can obtain the ID of a device by assigning a unique 16-bit short address or by burning firmware into an IC. These methods tend to complicate node management and lack portability. OBJECTIVE: The study developed a node management mechanism to deal with a large number of patients in real-time, through the wireless monitoring of physiological signals. The mechanism proposed for the ZigBee WSN is based on a three-layer (Coordinator, Control Router, and End Device) tree topology. METHODS: The proposed system includes a node deployment process to formulate a ZigBee WSN as a tree topology, an algorithm to automatically number ZigBee nodes for monitoring and control system (MCS), and an algorithm to automatically obtain the short addresses of nodes for data collection. Specifically, an algorithm automatically collects data from ZigBee nodes for display on a computer graphical user interface (GUI). We also developed a reliable data transmission method capable of resolving the problem of packet loss. RESULTS: The proposed method has been applied in a local hospital. Our research findings provide a valuable reference for the development of ZigBee-based MCS. CONCLUSIONS: The proposed node management mechanism is faster, more reliable, and more intuitive to use, than traditional methods.
Keywords: ZigBee WSN, Mass casualty incidents, systematic node management, large number of patients, monitoring GUI, reliable data transmission
DOI: 10.3233/THC-171404
Journal: Technology and Health Care, vol. 26, no. 1, pp. 29-41, 2018
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