• DocumentCode
    863919
  • Title

    Design Optimization for Integrated Neural Recording Systems

  • Author

    Chae, Moo Sung ; Liu, Wentai ; Sivaprakasam, Mohanasankar

  • Author_Institution
    Dept. of Electr. Eng., Univ. of California, Santa Cruz, CA
  • Volume
    43
  • Issue
    9
  • fYear
    2008
  • Firstpage
    1931
  • Lastpage
    1939
  • Abstract
    Power and chip area are the most important parameters in designing a neural recording system in vivo. This paper reports a design methodology for an optimized integrated neural recording system. Electrode noise is considered in determining the ADC´s resolution to prevent over-design of the ADC, which leads to unnecessary power consumption and chip area. The optimal transconductance and gain of the pre-amplifiers, which minimizes the power-area product of the amplifier, are mathematically derived. A numerical example using actual circuit parameters is shown to demonstrate the design methodology. A tradeoff between the power consumption of the system and the chip area in terms of the multiplexing ratio is investigated and the optimal number of channels per ADC is selected to achieve the minimum power-area product for the entire system. Following the proposed design methodology, a chip has been designed in 0.35 mum CMOS process, with the multiplexing ratio of 16:1, resulting in total chip area of 2.5 mm times 2.0 mm and power consumption of 5.3 mW from plusmn1.65 V.
  • Keywords
    CMOS integrated circuits; analogue-digital conversion; biomedical telemetry; brain; neurophysiology; ADC; CMOS chip; brain-machine interface; chip area; design optimization; electrode noise; gain; integrated neural recording systems; multiplexing ratio; power 5.3 mW; power consumption; pre-amplifiers; size 0.35 micron; transconductance; Circuits; Crosstalk; Design methodology; Design optimization; Electrodes; Energy consumption; Multiplexing; Neural prosthesis; Signal design; Telemetry; Analog multiplexer; SAR ADC; brain–machine interface (BMI); crosstalk; design optimization; low noise pre-amplifier; multi-channel; neural recording system;
  • fLanguage
    English
  • Journal_Title
    Solid-State Circuits, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    0018-9200
  • Type

    jour

  • DOI
    10.1109/JSSC.2008.2001877
  • Filename
    4625992