• DocumentCode
    2127523
  • Title

    A statistical path loss model for medical implant communication channels

  • Author

    Sayrafian-Pour, Kamran ; Yang, Wen-Bin ; Hagedorn, John ; Terrill, Judith ; Yazdandoost, Kamya Yekeh

  • Author_Institution
    Inf. Technol. Lab., Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA
  • fYear
    2009
  • fDate
    13-16 Sept. 2009
  • Firstpage
    2995
  • Lastpage
    2999
  • Abstract
    Knowledge of the propagation media is a key step toward a successful transceiver design. Such information is typically gathered by conducting physical experiments, measuring and processing the corresponding data to obtain channel characteristics. In case of medical implants, this could be extremely difficult, if not impossible. In this paper, an immersive visualization environment is presented, which is used as a scientific instrument that gives us the ability to observe RF propagation from medical implants inside a human body. This virtual environment allows for more natural interaction between experts with different backgrounds, such as engineering and medical sciences. Here, we show how this platform has been used to determine a statistical path loss model for medical implant communication systems.
  • Keywords
    biomedical communication; statistical analysis; telecommunication channels; transceivers; virtual reality; RF propagation; human body; immersive visualization environment; medical implant communication channels; statistical path loss model; transceiver design; virtual environment; Biological system modeling; Biomedical engineering; Communication channels; Data visualization; Humans; Implants; Instruments; Radio frequency; Transceivers; Virtual environment; Body Area Networks; Channel model; Immersive visualization system; Implant Communication system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium on
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-1-4244-5122-7
  • Electronic_ISBN
    978-1-4244-5123-4
  • Type

    conf

  • DOI
    10.1109/PIMRC.2009.5449869
  • Filename
    5449869