• DocumentCode
    2039084
  • Title

    Conformal L-notch patch antennas for human brain monitoring using the SAM head model

  • Author

    Asimakis, N.P. ; Karanasiou, I.S. ; Uzunoglu, N.K.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Zografou, Greece
  • fYear
    2009
  • fDate
    14-18 Sept. 2009
  • Firstpage
    214
  • Lastpage
    217
  • Abstract
    Temperature detection using microwave radiometry has proven value for noninvasively measuring the temperature differences in tissues inside the body. In this paper we study microstrip patch antennas that can be used as the basic antenna elements of a clinical phased array radiometric system. The particular design characteristics of these antennas are their conformality and their special L cuts on the edges. Using electromagnetic simulations we optimized the dimensions of the antennas and their special characteristics for a multiband operation in the frequency range 2-3 GHz. In the same direction the more realistic and accurate two-layered (skull and brain) SAM head model was used, in order to fine-tune the performance of the proposed antennas.
  • Keywords
    biological tissues; biomedical measurement; brain; conformal antennas; microstrip antennas; microwave measurement; patient monitoring; radiometry; temperature measurement; SAM head model; clinical phased array radiometric system; conformal L-notch patch antennas; electromagnetic simulations; frequency 2 GHz to 3 GHz; human brain monitoring; microstrip patch antennas; microwave radiometry; temperature detection; temperature difference measurement; Biological system modeling; Brain modeling; Humans; Microstrip antenna arrays; Microstrip antennas; Microwave radiometry; Monitoring; Patch antennas; Phased arrays; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetics in Advanced Applications, 2009. ICEAA '09. International Conference on
  • Conference_Location
    Torino
  • Print_ISBN
    978-1-4244-3385-8
  • Electronic_ISBN
    978-1-4244-3386-5
  • Type

    conf

  • DOI
    10.1109/ICEAA.2009.5297482
  • Filename
    5297482