• DocumentCode
    1502
  • Title

    Continuous Time Level Crossing Sampling ADC for Bio-Potential Recording Systems

  • Author

    Tang, Wei ; Osman, Ahmed ; Kim, Dongkyu ; Goldstein, B. ; Huang, Chao ; Martini, Ben ; Pieribone, V.A. ; Culurciello, Eugenio

  • Author_Institution
    Klipsch School of Electrical and Computer Engineering, New Mexico State University, Las Cruces,
  • Volume
    60
  • Issue
    6
  • fYear
    2013
  • fDate
    Jun-13
  • Firstpage
    1407
  • Lastpage
    1418
  • Abstract
    In this paper we present a fixed window level crossing sampling analog to digital convertor for bio-potential recording sensors. This is the first proposed and fully implemented fixed window level crossing ADC without local DACs and clocks. The circuit is designed to reduce data size, power, and silicon area in future wireless neurophysiological sensor systems. We built a testing system to measure bio-potential signals and used it to evaluate the performance of the circuit. The bio-potential amplifier offers a gain of 53 dB within a bandwidth of 200 Hz–20 kHz. The input-referred rms noise is 2.8 \\mu V. In the asynchronous level crossing ADC, the minimum delta resolution is 4 mV. The input signal frequency of the ADC is up to 5 kHz. The system was fabricated using the AMI 0.5 \\mu m CMOS process. The chip size is 1.5 mm by 1.5 mm. The power consumption of the 4-channel system from a 3.3 V supply is 118.8 \\mu W in the static state and 501.6 \\mu W with a 240 kS/s sampling rate. The conversion efficiency is 1.6 nJ/conversion.
  • Keywords
    Clocks; Computational efficiency; Noise; Sensor arrays; Signal resolution; Analog to digital conversion (ADC); asynchronous delta modulation (ADM); bio-potential recording applications; clock-less operation; continuous time level crossing sampling; fixed window method; large-scale sensor array;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems I: Regular Papers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1549-8328
  • Type

    jour

  • DOI
    10.1109/TCSI.2012.2220464
  • Filename
    6407469