SEMICONDUCTOR INTEGRATED CIRCUITS

Low power CMOS preamplifier for neural recording applications

Zhang Xu, Pei Weihua, Huang Beiju and Chen Hongda

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Abstract: A fully-differential bandpass CMOS (complementary metal oxide semiconductor) preamplifier for extracellular neural recording is presented. The capacitive-coupled and capacitive-feedback topology is adopted. The preamplifier has a midband gain of 20.4 dB and a DC gain of 0. The –3 dB upper cut-off frequency of the preamplifier is 6.7 kHz. The lower cut-off frequency can be adjusted for amplifying the field or action potentials located in different bands. It has an input-referred noise of 8.2 μVrms integrated from 0.15 Hz to 6.7 kHz for recording the local field potentials and the mixed neural spikes with a power dissipation of 23.1 μW from a 3.3 V supply. A bandgap reference circuitry is also designed for providing the biasing voltage and current. The 0.22 mm2 prototype chip, including the preamplifier and its biasing circuitry, is fabricated in the 0.35-μm N-well CMOS 2P4M process.

Key words: neural signal amplifier

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    Received: 18 August 2015 Revised: 03 November 2009 Online: Published: 01 April 2010

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      Zhang Xu, Pei Weihua, Huang Beiju, Chen Hongda. Low power CMOS preamplifier for neural recording applications[J]. Journal of Semiconductors, 2010, 31(4): 045002. doi: 10.1088/1674-4926/31/4/045002 Zhang X, Pei W H, Huang B J, Chen H D. Low power CMOS preamplifier for neural recording applications[J]. J. Semicond., 2010, 31(4): 045002. doi: 10.1088/1674-4926/31/4/045002.Export: BibTex EndNote
      Citation:
      Zhang Xu, Pei Weihua, Huang Beiju, Chen Hongda. Low power CMOS preamplifier for neural recording applications[J]. Journal of Semiconductors, 2010, 31(4): 045002. doi: 10.1088/1674-4926/31/4/045002

      Zhang X, Pei W H, Huang B J, Chen H D. Low power CMOS preamplifier for neural recording applications[J]. J. Semicond., 2010, 31(4): 045002. doi: 10.1088/1674-4926/31/4/045002.
      Export: BibTex EndNote

      Low power CMOS preamplifier for neural recording applications

      doi: 10.1088/1674-4926/31/4/045002
      • Received Date: 2015-08-18
      • Accepted Date: 2009-10-15
      • Revised Date: 2009-11-03
      • Published Date: 2010-03-29

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