Closed-loop Neural Recording Amplifier Design Techniques



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


Attenuation Settling 


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  1. [1]
    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
  2. [2]
    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
  3. [3]
    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
  4. [4]
    Razavi B (2000) Design of analog CMOS integrated circuits. Tata McGraw-Hill Edition, IndiaGoogle Scholar
  5. [5]
    Wattanapanitch W, Fee M, Sarpeshkar R (2007) An energy-efficient micropower neural recording amplifier. IEEE Trans Biomed Circuit 1(2):136–147CrossRefGoogle Scholar

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© 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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