A mobile web grid based physiological signal monitoring system

被引:0
|
作者
Sufi, Fahim [1 ]
Khalil, Ibrahim [1 ]
Fang, Qiang [1 ]
Cosic, Irena [1 ]
机构
[1] RMIT Univ, Sch Elect & Comp Engn, Melbourne, Vic, Australia
关键词
disaster affected patient; remote monitoring; mobile grid web server; physiological signal;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Monitoring of physiological signals of disaster affected patients inherit several challenges. First of all, the care providers of a disaster zone are susceptible to health hazards for themselves. Fast and easy transportation of monitoring equipments is crucial for survival of the injured. Moreover, Enormous physiological data transmission from the disaster zone to the medical server needs to be regulated to prevent network congestion. In this paper, we are proposing a mobile grid based health content delivery service, which can be useful for vital signal monitoring from a remote location. The proposed system is specifically designed for monitoring of a group that is very much mobile and dynamic in nature. Therefore, during a catastrophic event like earth quake, flood, cyclone the whole system can be transported with minimal mobility to the disaster affected patients. Minimally trained people are capable of installing the system within the disaster affected area entirely in ad-hoe manner. Medical experts can monitor the group from a safe location and provide specialist advice for the early recovery of the affected patients. To deal with network congestion, local intelligence is applied within the mobile patient monitoring system. Therefore, only medically urgent information is transmitted to the hospital server or central server. Application of grid network provides additional computational power to analyze raw physiological signal to identify possible health hazards for the monitored patients. In addition, the proposed mobile grid provides load sharing and redundancy of patient data, which are of prime importance for a disaster zone.
引用
收藏
页码:438 / 441
页数:4
相关论文
共 50 条
  • [21] MICROPROCESSOR-BASED PHYSIOLOGICAL SIGNAL MONITORING AND RECORDING-SYSTEM FOR AMBULATORY SUBJECTS
    KAO, SD
    JAN, GJ
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1995, 33 (06) : 830 - 834
  • [22] Mobile agent-based load monitoring system for the safety web server environment
    Park, HJ
    Jyung, KJ
    Kim, SS
    COMPUTATIONAL SCIENCE - ICCS 2004, PT 3, PROCEEDINGS, 2004, 3038 : 274 - 280
  • [23] Application of mobile agents in a web-based real-time monitoring system
    Ong, SK
    Sun, WW
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2003, 22 (1-2): : 33 - 40
  • [24] Application of mobile agents in a web-based real-time monitoring system
    S. K. Ong
    W. W. Sun
    The International Journal of Advanced Manufacturing Technology, 2003, 22 : 33 - 40
  • [25] Application of mobile agents in a web-based real-time monitoring system
    Ong, S.K. (mpeongsk@nus.edu.sg), 1600, Springer-Verlag London Ltd (22): : 1 - 2
  • [26] MULTI MONITORING SYSTEM AND DISPLAY OF PHYSIOLOGICAL VARIABLES IN MOBILE DEVICE
    Eniique Mendoza, Luis
    Alonso Delgado, Rhonald
    Eduardo Gualdron, Oscar
    REDES DE INGENIERIA-ROMPIENDO LAS BARRERAS DEL CONOCIMIENTO, 2013, 4 (02): : 103 - 107
  • [27] Development of Low Power Wearable Physiological Signal Monitoring System
    Apsara, B.
    Bashyam, S.
    Ramachandran, B.
    2017 INTERNATIONAL CONFERENCE ON NEXTGEN ELECTRONIC TECHNOLOGIES: SILICON TO SOFTWARE (ICNETS2), 2017, : 92 - 96
  • [28] Near-IR Embedded in a Physiological Signal Monitoring System
    Peng, Chih-Wei
    Chou, Chen-Chia
    Lin, Zhi-Yu
    Liou, Jian-Chiun
    SENSORS AND MATERIALS, 2023, 35 (07) : 2305 - 2319
  • [29] Design and Implementation of a HL7-based Physiological Monitoring System for Mobile Consumer Devices
    Lin, Shun-Chieh
    Chiang, Yi-Lin
    Lin, Hsu-Cheng
    Hsu, Johnny
    Wang, Jhing-Fa
    2009 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, 2009, : 41 - 42
  • [30] Mobile Web Energy Monitoring System Using DFRduino Uno
    Galera, Kristine Mae E.
    Llantos, Orven E.
    4TH INFORMATION SYSTEMS INTERNATIONAL CONFERENCE (ISICO 2017), 2017, 124 : 706 - 713