• DocumentCode
    2253242
  • Title

    A neural signal detection amplifier with low-frequency noise suppression

  • Author

    Yoshida, Takeshi ; Masui, Yoshihiro ; Eki, Ryoji ; Iwata, Atsushi ; Yoshida, Masayuki ; Uematsu, Kazumasa

  • Author_Institution
    Grad. Sch. of Adv. Sci. of Matter, Hiroshima Univ., Higashi-Hiroshima, Japan
  • fYear
    2009
  • fDate
    24-27 May 2009
  • Firstpage
    661
  • Lastpage
    664
  • Abstract
    To detect neural spike signals, low-power neural signal detection amplifiers must amplify small neural signals of a few hundred Hz frequency while suppressing large a DC offset voltage, a 1/f noise of MOSFETs, and an induced noise of AC power supply. To overcome the problem of unwanted noise at such a low signal level, a low-noise neural signal detection amplifier with low-frequency noise suppression scheme was developed utilizing a new autozeroing technique. A test chip was designed and fabricated with a mixed signal 0.18 mum CMOS technology. The voltage gain of 36 dB at the bandwidth of the neural signal and the gain reduction of 20 dB at AC supply noise of 60 Hz were obtained. The input equivalent noise and power dissipation were 90 nV/root-Hz and 90 muW at a supply voltage of 1.5 V, respectively.
  • Keywords
    CMOS integrated circuits; interference suppression; neural chips; signal detection; AC power supply; CMOS technology; DC offset voltage; MOSFET; autozeroing technique; gain 36 dB; low-frequency noise suppression; neural signal detection amplifier; neural spike signals; power 90 muW; power dissipation; size 0.18 mum; voltage 1.5 V; CMOS technology; Frequency; Low-frequency noise; Low-noise amplifiers; MOSFETs; Noise level; Power supplies; Signal detection; Testing; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-3827-3
  • Electronic_ISBN
    978-1-4244-3828-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.2009.5117835
  • Filename
    5117835