• DocumentCode
    2468258
  • Title

    A phase synchronization and magnitude processor VLSI architecture for adaptive neural stimulation

  • Author

    Abdelhalim, Karim ; Smolyakov, Vadim ; Genov, Roman

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2010
  • fDate
    3-5 Nov. 2010
  • Firstpage
    5
  • Lastpage
    8
  • Abstract
    A low-power VLSI processor architecture that computes in real time the magnitude, phase and phase synchronization of two input signals is presented. The processor is part of an envisioned closed-loop implantable or wearable microsystem for adaptive neural stimulation. The architecture uses three CORDIC processing cores that require shift-and-add operations but no multiplication. The 10-bit processor synthesized in a standard 1.2 V 0.13 μm CMOS technology utilizes 41,000 logic gates. For 64 input channels, it dissipates 1.1 μ W per input, and provides 1 kS/s per-channel throughput when clocked at 1.41 MHz. The power scales linearly with the number of input channels or the sampling rate.
  • Keywords
    CMOS logic circuits; VLSI; closed loop systems; digital arithmetic; logic gates; low-power electronics; micromechanical devices; synchronisation; CMOS technology; CORDIC processing cores; adaptive neural stimulation; closed loop implantable microsystem; closed loop wearable microsystem; logic gates; low power VLSI processor architecture; magnitude processor; phase synchronization; power scales; sampling rate; shift-and-add operations; size 0.13 mum; voltage 1.2 V; word length 10 bit; Computer architecture; Epilepsy; Finite impulse response filter; Signal processing algorithms; Synchronization; Transforms; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2010 IEEE
  • Conference_Location
    Paphos
  • Print_ISBN
    978-1-4244-7269-7
  • Electronic_ISBN
    978-1-4244-7268-0
  • Type

    conf

  • DOI
    10.1109/BIOCAS.2010.5709557
  • Filename
    5709557