• DocumentCode
    3069403
  • Title

    A low-noise receiver for multichannel wireless neural recording

  • Author

    Yin, Ming ; Ghovanloo, M.

  • Author_Institution
    NC-Bionics Lab, Department of Electrical and Computer Engineering, NCSU, Raleigh, NC, USA
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    2024
  • Lastpage
    2027
  • Abstract
    We present a high performance wideband receiver for multichannel wireless implantable neural recording systems (WINeR) utilizing pulse width modulation of time division multiplexed (PWM-TDM) samples. The receiver consists of a 50 MHz ∼ 1 GHz tunable down-converter with 75 MHz bandwidth, frequency shift keying and PWM demodulators, and a high throughput USB interface. Several IF gain stages, passive LC filters, and an FPGA-based time-to-digital converter (TDC) with time interval resolution of 428 ps have significantly enhanced the receiver performance and extended its receiving range. A 2 MB SDRAM is used as a buffer between the TDC and USB to ensure continuous throughput for the digitized raw data at data rates up to 10 Mb/s. The receiver performance is evaluated with a 6-channel WINeR transmitter, showing that the entire system input referred noise with this receiver is 9.8 and 12.7 μVrms at 0.5 and 3.5 m distances, respectively, which are equivalent to 8.2 and 7.9 bits of resolution at 640 ksample/s.
  • Keywords
    Bandwidth; Demodulation; Frequency shift keying; Performance gain; Pulse width modulation; Space vector pulse width modulation; Throughput; Time division multiplexing; Universal Serial Bus; Wideband; Action Potentials; Amplifiers, Electronic; Electrodes, Implanted; Equipment Design; Neurons; Neurophysiology; Prostheses and Implants; Signal Processing, Computer-Assisted; Telemetry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4649588
  • Filename
    4649588