• DocumentCode
    242695
  • Title

    8-GHz band implantable UWB communications for wireless brain-machine interfaces

  • Author

    Takizawa, Kenichi ; Ando, Hideki ; Suzuki, Takumi ; Yazdandoost, Kamya Yekeh ; Matsushita, Kazuki ; Hirata, Masayuki

  • Author_Institution
    Nat. Inst. of Inf. & Commun. Technol. (NICT), Kobe, Japan
  • fYear
    2014
  • fDate
    6-11 April 2014
  • Firstpage
    3370
  • Lastpage
    3373
  • Abstract
    This paper presents a wireless data transmission technology using ultra wideband (UWB) signals in order to realize ultra multi-channel neural recoding system for wireless brain-machine interface (BMI). In order to show feasibility of the use of UWB signals in the application, a testbed has been developed, which consists of a liquid phantom and UWB radio system. The liquid phantom has been developed as to provide electrical constants equivalent to tissues of human body. The UWB radio system which occupies bandwidth of 1800 MHz to send 133 × 106 pulses per second. A small-size UWB has been employed, which was fabricated for this application. As a result of experiment with the testbed, it has been demonstrated that bit error ratio (BER) at distance of 20 mm between an implanted device and on-body antenna becomes less than 10-4.
  • Keywords
    brain-computer interfaces; data communication; encoding; error statistics; ultra wideband communication; BER; BMI; UWB communications; UWB radio system; bandwidth 1800 MHz; bandwidth 8 GHz; bit error ratio; distance 20 mm; liquid phantom; ultra multichannel neural recoding system; ultrawideband signals; wireless brain-machine interfaces; wireless data transmission technology; Bit error rate; Liquids; Phantoms; Transmitting antennas; Ultra wideband communication; Wireless communication; liquid phantom; ultra wideband (UWB); wireless brain-machine interface (BMI);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (EuCAP), 2014 8th European Conference on
  • Conference_Location
    The Hague
  • Type

    conf

  • DOI
    10.1109/EuCAP.2014.6902551
  • Filename
    6902551