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ADC Design for Neural Acquisition Application

  • Ruoyuan Qu
  • Zhe Guo
  • Na Liu
  • Yueyang Chen
  • Xinghua Wang
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 235)

Abstract

A high precision sigma delta analog to digital convertor (SDADC) for neural signal acquisition application is presented in this paper, which has been fabricated in AMI 0.5 um standard CMOS process. The ADC achieves 85 dB SNR in a second older with 256 oversampling rate (OSR) architecture. Behavior level modeling is adopted to shorten the design cycle and provide reference specifications for circuits design. In circuit design, class-AB output structure ensures the enough output range and slew rate of the system requirement. The whole system consumes 0.7 mA current and occupies 0.9*0.5 mm2 area.

Keywords

SDADC Neural acquisition Behavior modeling Matlab Integrator Comparator 

Notes

Acknowledgments

Research is supported by the national science foundation for young scientists of China (Grant No. 61201040).

References

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    Wang X, Zhong S, Chen Y (2009) Sigma-delta modulator for low power with SC techniques. IET international radar conference, pp 122–125Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Ruoyuan Qu
    • 1
  • Zhe Guo
    • 1
  • Na Liu
    • 1
  • Yueyang Chen
    • 1
  • Xinghua Wang
    • 1
  1. 1.School of Electronic EngineeringInstitute of TechnologyBeijingChina

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