• DocumentCode
    2223448
  • Title

    A highly modular, wireless, implantable interface to the cortex

  • Author

    Abu-Nimeh, F.T. ; Kamboh, A. ; Aghagolzadeh, Mohammad ; Jow, Uei-Ming ; Mason, Andrew ; Ghovanloo, Maysam ; Oweiss, Karim

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
  • fYear
    2009
  • fDate
    April 29 2009-May 2 2009
  • Firstpage
    375
  • Lastpage
    378
  • Abstract
    The development of advanced neuroprosthetic systems and brain-machine interfaces for high-capacity, real-time, bi-directional communication with the nervous system is a major challenge to the emerging neural engineering discipline. In this paper, we summarize our first preliminary report on the design of a highly modular, wireless, adaptive, implantable large-scale interface to the cortex designed exclusively to permit faithful transmission of neural activity from high-density microelectrode array recordings to the outside world. The system is expected to augment the space of experimental design needed to improve our understanding of the nervous system functionality in freely behaving subjects interacting naturally with their surroundings. It will further accelerate the deployment of viable brain machine interface technology in clinical applications.
  • Keywords
    bioelectric phenomena; biological tissues; biomedical electrodes; biomedical telemetry; brain-computer interfaces; microelectrodes; neurophysiology; prosthetics; bidirectional communication; brain machine interface technology; cortex; high-density microelectrode array recording; nervous system; neural transmission activity; neuroprosthetic system; telemetry transmission; wireless implantable large-scale interface; Adaptive arrays; Bidirectional control; Design for experiments; Large-scale systems; Microelectrodes; Nervous system; Neural engineering; Neural prosthesis; Real time systems; Space technology; Brain Machine Interface; component; compressed sensing; low power implants; neural signal processing; spike trains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on
  • Conference_Location
    Antalya
  • Print_ISBN
    978-1-4244-2072-8
  • Electronic_ISBN
    978-1-4244-2073-5
  • Type

    conf

  • DOI
    10.1109/NER.2009.5109311
  • Filename
    5109311