• DocumentCode
    3229341
  • Title

    Distributed processing methodology for biomedical sensor networks: An optimal approach

  • Author

    Estudillo-Valderrama, Miguel A. ; Roa, Laura M. ; Reina-Tosina, Javier ; Naranjo-Hernández, David

  • Author_Institution
    Biomed. Eng. Group, Univ. of Seville, Seville, Spain
  • fYear
    2009
  • fDate
    4-7 Nov. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, the major advantages of a distributed processing methodology developed in the context of biomedical sensor networks (BSN) are compared to the most usual wireless communication topology architectures developed in the literature. These advantages are highlighted in the context of a distributed fall detection system developed by the authors in terms of more facilities for system personalization to the end user and multimodal functionality in order to extend the biomedical application domain of the system. As the main result, a lower power consumption of the devices pertaining to the system is shown.
  • Keywords
    distributed processing; medical signal processing; telemedicine; wireless sensor networks; BSN; biomedical sensor networks; distributed fall detection system; distributed processing; multimodal functionality; power consumption; wireless communication topology architectures; Biosensors; Body sensor networks; Context; Data processing; Distributed processing; Energy consumption; Interference; Sensor systems; Topology; Wireless sensor networks; biomedical sensor; distributed processing; power consumption; smart sensor; wireless network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications in Biomedicine, 2009. ITAB 2009. 9th International Conference on
  • Conference_Location
    Larnaca
  • Print_ISBN
    978-1-4244-5379-5
  • Electronic_ISBN
    978-1-4244-5379-5
  • Type

    conf

  • DOI
    10.1109/ITAB.2009.5394464
  • Filename
    5394464