• DocumentCode
    3044713
  • Title

    An 8-channel fully differential analog front-end for neural recording

  • Author

    Yun Gui ; Xu Zhang ; Yuan Wang ; Sanyuan Chen ; Beiju Huang ; Weihua Pei ; Hongda Chen ; Kai Liang ; Suibiao Huang ; Bo Wang ; Zhaohui Wu ; Bin Li

  • Author_Institution
    State Key Lab. on Integrated Optoelectron., Inst. of Semicond., Beijing, China
  • fYear
    2012
  • fDate
    28-30 Nov. 2012
  • Firstpage
    132
  • Lastpage
    135
  • Abstract
    An 8-channel, analog front-end chip for neural recording is presented in this paper. The chip consists of eight neural recording amplifiers with tunable bandwidth and gain, eight 4th-order Bessel switch capacitor filters, an 8-to-1 analog time-division multiplexer, a fully differential successive approximation (SAR) analog-to-digital converter (ADC), and a serial peripheral interface for communication. The neural recording amplifier presents a programmable gain from 53 dB to 68 dB, a tunable low cut-off frequency from 0.1 Hz to several hundred Hz, and 3.77 μVrms referred noise. The SAR ADC digitizes signals at maximum sampling rate of 20 kS/s per channel and achieves an ENOB of 7.4. The chip is designed and fabricated in 0.18-μm CMOS process. We successfully performed simultaneous multi-channel recording in vitro experiment using the neural recording chip.
  • Keywords
    CMOS digital integrated circuits; analogue-digital conversion; biomedical electronics; neural chips; CMOS process; SAR ADC signal digitation; analog-to-digital converter; eight 4th-order Bessel switch capacitor filters; eight neural recording amplifiers; eight-channel fully differential analog front-end; eight-to-one analog time-division multiplexer; fully differential successive approximation; neural recording chip; serial peripheral interface; tunable bandwidth; tunable low cut-off frequency; Arrays; Capacitors; Cutoff frequency; Electronics packaging; Noise; Resistors; Time division multiplexing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2012 IEEE
  • Conference_Location
    Hsinchu
  • Print_ISBN
    978-1-4673-2291-1
  • Electronic_ISBN
    978-1-4673-2292-8
  • Type

    conf

  • DOI
    10.1109/BioCAS.2012.6418402
  • Filename
    6418402