• DocumentCode
    2481515
  • Title

    A 64-channel neuron recording system

  • Author

    Lo, Yi-Kai ; Liu, Wentai ; Chen, Kuanfu ; Tsai, Ming-Hsien ; Hsueh, Fu-Lung

  • Author_Institution
    Electr. Eng. Dept., Univ. of California, Santa Cruz, CA, USA
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    2862
  • Lastpage
    2865
  • Abstract
    This paper presents a fully integrated low-power neuron recording front-end system in TSMC 65nm 1p6m CMOS technology. The proposed system is comprised of two recording modules, each containing 32 recording channels with tunable bandwidth and gain, a 32-to-1 multiplexer, one differential successive approximation register (SAR) analog-to-digital converter (ADC) with programmable sampling rate on each channel, and a digital control module to govern the signal digitization as well as to encode and serialize the digitized neuron signal from two ADCs. The recording amplifier presents a low power and low noise merits of 6 μW and input-referred noise of 3.8 μVrms. The ADC digitizes the neural signal at a sampling rate of 40kS/s with 9-bit resolution. The overall power consumption of the entire system is 2.56mW and occupies an area of 3×4mm2.
  • Keywords
    CMOS integrated circuits; bioelectric potentials; biomedical electronics; lab-on-a-chip; neurophysiology; recorders; 64-channel neuron recording system; TSMC CMOS technology; analog-to-digital converter; digital control module; digitized neuron signal; integrated low-power neuron recording front-end system; multiplexer; power 2.56 mW; power consumption; programmable sampling rate; recording modules; signal digitization; size 65 nm; successive approximation register; Band pass filters; Bandwidth; CMOS integrated circuits; Gain; Impedance; Neurons; Noise; Equipment Design; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6090790
  • Filename
    6090790