• DocumentCode
    589508
  • Title

    Low power implantable neural recording front-end

  • Author

    Anh Tuan Do ; YungSern Tan ; Chunkit Lam ; Minkyu Je ; Kiat Seng Yeo

  • Author_Institution
    IC Design Centre of Excellence, Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2012
  • fDate
    4-7 Nov. 2012
  • Firstpage
    387
  • Lastpage
    390
  • Abstract
    Low power smart electronic designs for neural recording applications have recently become a major research topic in circuits and system society. Challenged by the complicated nature of the biology-electronic interface, implantable neural recording circuits must offer high quality signal acquisition while consuming as little power as possible. Furthermore, many applications demand on-chip smart features to maximize energy efficiency as well as to assist the subsequent software-based digital signal processing. This paper reviews the recent advancements in the field, followed by a proposed ultra low-power recording front-end. The proposed design consists of an adjustable gain and bandwidth low-noise amplifier, a bandpass filter, a unity gain buffer and a 9-bit ADC. When simulated using a 0.18 μm/1 V CMOS process, the whole channel consumes only 2.76 μW.
  • Keywords
    CMOS integrated circuits; analogue-digital conversion; band-pass filters; low noise amplifiers; low-power electronics; 9-bit ADC; CMOS process; bandpass filter; biology-electronic interface; energy efficiency; high quality signal acquisition; low power implantable neural recording front-end; low power smart electronic design; low-noise amplifier; on-chip smart feature; power 2.76 muW; size 0.18 micron; software-based digital signal processing; ultra low-power recording front-end; unity gain buffer; word length 9 bit; Band pass filters; Bandwidth; Capacitors; Cutoff frequency; Gain; Noise; Power demand; Neural amplifier; low power; low voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SoC Design Conference (ISOCC), 2012 International
  • Conference_Location
    Jeju Island
  • Print_ISBN
    978-1-4673-2989-7
  • Electronic_ISBN
    978-1-4673-2988-0
  • Type

    conf

  • DOI
    10.1109/ISOCC.2012.6407122
  • Filename
    6407122