• DocumentCode
    126770
  • Title

    Radio propagation models for in-body sensors

  • Author

    Chavez-Santiago, Raul ; Balasingham, Ilangko

  • Author_Institution
    Intervention Centre, Oslo Univ. Hosp., Oslo, Norway
  • fYear
    2014
  • fDate
    16-23 Aug. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Radio technology has the potential to enable real-time collection and monitoring of physiological signals for better healthcare. Implantable biomedical sensors transmitting continuously physiological information to an external unit can facilitate the personalized treatment of chronic diseases. Other in-body medical devices like the wireless capsule endoscope have been proven extremely useful as a diagnostic tool for diseases in the gastrointestinal tract. Nevertheless, the design of efficient wireless communication systems to transmit reliably the information collected inside the body to an external receiver for display and analysis requires accurate radio propagation models. Because of the impossibility to conduct in-body measurements with human subjects, research in this field has made use of measurements in phantoms and intricate computer simulations. This paper surveys the different propagation models for implant communication that have been presented in the literature for narrowband and ultra wideband signals. Research challenges and perspectives for the improvement of the path loss models are discussed too.
  • Keywords
    body sensor networks; health care; radiowave propagation; real-time systems; chronic diseases; computer simulations; diagnostic tool; external unit; gastrointestinal tract; healthcare; human subjects; implantable biomedical sensors; in-body measurements; in-body medical devices; in-body sensors; narrowband signals; path loss models; personalized treatment; phantoms; physiological information; physiological signal monitoring; radio propagation models; real-time collection; ultra wideband signals; wireless capsule endoscope; wireless communication systems; Biological system modeling; Channel models; Computational modeling; Implants; Mathematical model; Numerical models; Propagation losses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/URSIGASS.2014.6930106
  • Filename
    6930106