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Closed-loop Neural Recording Amplifier Design Techniques

Chapter

Abstract

As previously described, in order to accommodate weak neural signals, we need sufficient amplification and signal conditioning at the front-end of a neural-recording system. Specifically, the requirements on the front-end amplifier can be summarized as below:
  • Input-referred noise voltage < 10 μ V

  • Midband gain ≌ 40 dB

  • Input impedance ≥ a few MΩs at 1 kHz

  • Pass-band compatible with the desired signals (see Table 2.1).

  • AC-coupled input in order to block DC offsets.

  • Small silicon area and no off-chip components.

  • CMRR, PSRR ≥ 60 dB

  • Power dissipation ≪ 100 μ W/channel

Keywords

Input Transistor Compensation Capacitor Capacitive Divider Cascode Transistor Tail Current Source 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Chandran A, Najafi K, Wise K (1999) A new DC baseline stabilization scheme for neural recording microprobes. In: Proceedings of the first joint BMES/EMBS conference, annual fall meeting of the Biomedical Engineering Society, 21st annual international conference of the Engineering in Medicine and Biology Society, Atlanta, Georgia, pp 386–387Google Scholar
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    Harison R, Charles C (2003) A low-power, low-noise CMOS amplifier for neural recording applications. IEEE J Solid-State Circuits 38:958–965CrossRefGoogle Scholar
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    Rai S, Holleman J, Pandey J, Zhang F (2009) A 500mW neural tag with 2mVrms analog front-end and frequency multiplying MICS/ISM FSK transmitter. In: IEEE international solid-state circuits conference, Digest of Technical Papers, pp 212–213Google Scholar
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    Razavi B (2000) Design of analog CMOS integrated circuits. Tata McGraw-Hill Edition, IndiaGoogle Scholar
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    Wattanapanitch W, Fee M, Sarpeshkar R (2007) An energy-efficient micropower neural recording amplifier. IEEE Trans Biomed Circuit 1(2):136–147CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Department of Electrical Engineering and Computer ScienceUniversity of TennesseeKnoxvilleUSA
  2. 2.Department of Electrical EngineeringUniversity of WashingtonSeattleUSA

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