• DocumentCode
    1645059
  • Title

    A wireless neural interface for chronic recording

  • Author

    Harrison, Reid R. ; Kier, Ryan J. ; Kim, Sohee ; Rieth, Loren ; Warren, David J. ; Ledbetter, Noah M. ; Clark, Gregory A. ; Solzbacher, Florian ; Chestek, Cynthia A. ; Gilja, Vikash ; Nuyujukian, Paul ; Ryu, Stephen I. ; Shenoy, Krishna V.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Utah, Salt Lake City, UT
  • fYear
    2008
  • Firstpage
    125
  • Lastpage
    128
  • Abstract
    A primary goal of the integrated neural interface project (INIP) is to develop a wireless, implantable device capable of recording neural activity from 100 micromachined electrodes. The heart of this recording system is a low-power integrated circuit that amplifies 100 weak neural signals, detects spikes with programmable threshold-crossing circuits, and returns these data via digital radio telemetry. The chip receives power, clock, and command signals through a coil-to-coil inductive link. Here we report that the isolated integrated circuit successfully recorded and wirelessly transmitted digitized electrical activity from peripheral nerve and cortex at 15.7 kS/s. The chip also simultaneously performed accurate on-chip spike detection and wirelessly transmitted the spike threshold-crossing data. We also present preliminary successful results from full system integration and packaging.
  • Keywords
    bioMEMS; biomedical electrodes; biomedical electronics; biomedical telemetry; neural chips; threshold elements; chronic recording; digital radio telemetry; implantable device; micromachined electrodes; on-chip spike detection; threshold crossing circuits; wireless neural interface; BiCMOS integrated circuits; Biomedical electrodes; Circuit testing; Clocks; Electronics packaging; Integrated circuit measurements; Integrated circuit testing; Plastic integrated circuit packaging; Semiconductor device measurement; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference, 2008. BioCAS 2008. IEEE
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    978-1-4244-2878-6
  • Electronic_ISBN
    978-1-4244-2879-3
  • Type

    conf

  • DOI
    10.1109/BIOCAS.2008.4696890
  • Filename
    4696890