• DocumentCode
    3066975
  • Title

    Channel models for wireless body area networks

  • Author

    Takizawa, Kenichi ; Aoyagi, Takahiro ; Takada, Jun-ichi ; Katayama, Norihiko ; Kamya Yekeh ; Yazdandoost, Kamya Yekeh ; Kobayashi, Takehiko

  • Author_Institution
    National Institute of Information and Communications Technology (NICT), 3-4 Hikarino-oka, Yokosuka, Kanagawa, 2390847 Japan
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    1549
  • Lastpage
    1552
  • Abstract
    Wireless patient monitoring using wearable sensors is a promising application. This paper provides stochastic channel models for wireless body area network (WBAN) on the human body. Parameters of the channel models are extracted from measured channel transfer functions (CTFs) in a hospital room. Measured frequency bands are selected so as to include permissible bands for WBAN; ultra wideband (UWB), the industry, science and medical (ISM) bands, and wireless medical telemetry system (WMTS) bands. As channel models, both a path loss model and a power delay profile (PDP) model are considered. But, even though path loss models are derived for the all frequency bands, PDP model is only for the UWB band due to the highly frequency selectiveness of UWB channels. The parameters extracted from the measurement results are summarized for each channel model.
  • Keywords
    Biological system modeling; Body sensor networks; Frequency; Humans; Patient monitoring; Power system modeling; Stochastic processes; Transfer functions; Wearable sensors; Wireless sensor networks; Computer Communication Networks; Electronics, Medical; Humans; Models, Theoretical; Monitoring, Ambulatory; Telemetry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4649465
  • Filename
    4649465