• DocumentCode
    2387479
  • Title

    In vivo testing of a low noise 32-channel wireless neural recording system

  • Author

    Yin, Ming ; Lee, Seung Bae ; Ghovanloo, Maysam

  • Author_Institution
    Dept. of Electr. & Comput. Eng., NCSU, Raleigh, NC, USA
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    1608
  • Lastpage
    1611
  • Abstract
    We present a 32-channel wireless implantable neural recording system-on-a-chip (SoC) that operates based on time division multiplexing (TDM) of pulse width modulated (PWM) samples with minimal substrate noise and interference. We have utilized analog-to-time conversion (ATC) on the transmitter and time-to-digital conversion (TDC) on the receiver to reduce the size and power consumption of the implantable unit by moving the digitization circuitry to the external unit. We have managed the TDM switching times such that no switching occurs during sensitive sampling onsets. The chip has been implemented in the AMI 0.5-mum standard CMOS process, occupying 3.3 times 3.0 mm2 and consuming 5.6 mW at plusmn1.5 V when all channels are active. The measured input referred noise for the entire system, including the receiver at 1 m distance, is only 4.9 muVrms from 1 Hz~10 kHz. Finally, in vivo testing results on rats have been presented to validate the full functionality of the system.
  • Keywords
    CMOS integrated circuits; analogue-digital conversion; bioelectric phenomena; neurophysiology; prosthetics; time division multiplexing; CMOS; TDM switching; analog-to-time conversion; in vivo testing; low noise 32-channel wireless neural recording system; pulse width modulated; system-on-a-chip; time division multiplexing; time-to-digital conversion; Animals; Noise; Radio Waves; Rats;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5333227
  • Filename
    5333227