• DocumentCode
    3593360
  • Title

    Hybrid and Multi-Agent Approaches on Healthcare Sensor Information Fusing

  • Author

    Dai, Zhifeng ; Sun, Baolin ; Gui, Chao

  • Author_Institution
    Sch. of Comput., Hubei Univ. of Econ., Wuhan
  • Volume
    1
  • fYear
    2008
  • Firstpage
    438
  • Lastpage
    441
  • Abstract
    With the emerging practical application and rapid advancement of WSN in EHS, this paper addresses the particularly important problem on healthcare sensor information fusion. On light of the common ground among WSN, MAS and RST, some hybrid and multi-agent approaches are discussed and implementation details of the method are given, and as can be seen, the proposed solution MADHSDN, which results in gaining much insight into the sensor data as well as revealing new interesting information fused with certain trend characteristics and consistent predictions with minimum redundancy, is demonstrated to be more flexible, robust and informative to deal with the real scenario with some noise.
  • Keywords
    health care; multi-agent systems; rough set theory; sensor fusion; wireless sensor networks; EHS; WSN; healthcare sensor information fusing; healthcare sensor information fusion; multiagent approaches; multiagent systems; rough set theory; Computer networks; Economic forecasting; Intelligent sensors; Medical diagnostic imaging; Medical services; Multiagent systems; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Wireless sensor networks; distributed healthcare sensor information fusion; multi-agent system; rough sets; wireless sensor decision network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networked Computing and Advanced Information Management, 2008. NCM '08. Fourth International Conference on
  • Print_ISBN
    978-0-7695-3322-3
  • Type

    conf

  • DOI
    10.1109/NCM.2008.242
  • Filename
    4624047