• DocumentCode
    1827003
  • Title

    VLSI potentiostat array for distributed electrochemical neural recording

  • Author

    Bandyopadhyay, Abhishek ; Mulliken, Grant ; Cauwenberghs, Gert ; Thakor, Nitish

  • Author_Institution
    Dept. of Biomed. Eng., Johns Hopkins Univ. Sch. of Med., Baltimore, MD, USA
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Abstract
    A neurochemical sensor system is being developed to spatially sense and process neurotransmitters. This paper reports the design and VLSI implementation of a multichannel potentiostat that interfaces to a nitric-oxide (NO) sensor array. Picoampere to microampere input currents are range-normalized with programmable gain, and digitized by a bank of current-mode delta-sigma analog-to-digital (A/D) converters. First-order noise shaping and 4096-fold oversampling provide high signal-to-noise ratio for the low-frequency NO transients. A shift register scans the buffered decimated delta-sigma outputs in bit-serial format providing asynchronous sequential readout. An 8-channel potentiostat in 0.5 μm CMOS measures 1.5 mm×1.5 mm, and consumes 0.5 mW power. The device is expected to serve as a valuable tool for neurophysiological research and implantable neural prostheses.
  • Keywords
    CMOS integrated circuits; VLSI; analogue-digital conversion; array signal processing; biochemistry; biomedical electronics; biosensors; current-mode circuits; digital readout; distributed sensors; electrochemical sensors; mixed analogue-digital integrated circuits; neurophysiology; 0.5 mW; 0.5 micron; 8-channel CMOS potentiostat; NO; NO sensor array interface; VLSI potentiostat array; asynchronous sequential readout; bit-serial format; buffered decimated delta-sigma outputs; current-mode delta-sigma analog-to-digital converters; distributed electrochemical neural recording; first-order noise shaping; high signal-to-noise ratio; implantable neural prostheses; low-frequency NO transients; microampere input currents; multichannel potentiostat; neurochemical sensor system; neurophysiological research; neurotransmitter processing; oversampling; picoampere input currents; power consumption; programmable gain; range normalization; shift register; spatial sensing; Analog-digital conversion; Neurotransmitters; Noise shaping; Power measurement; Prosthetics; Sensor arrays; Sensor systems; Shift registers; Signal to noise ratio; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on
  • Conference_Location
    Phoenix-Scottsdale, AZ
  • Print_ISBN
    0-7803-7448-7
  • Type

    conf

  • DOI
    10.1109/ISCAS.2002.1011459
  • Filename
    1011459