Literature DB >> 29877831

Current-Efficient Preamplifier Architecture for CMRR Sensitive Neural Recording Applications.

Julian Oreggioni, Angel A Caputi, Fernando Silveira.   

Abstract

There are neural recording applications in which the amplitude of common-mode interfering signals is several orders of magnitude higher than the amplitude of the signals of interest. This challenging situation for neural amplifiers occurs, among other applications, in neural recordings of weakly electric fish or nerve activity recordings made with cuff electrodes. This paper reports an integrated neural amplifier architecture targeting in-vivo recording of local field potentials and unitary signals from the brain stem of a weakly electric fish Gymnotus omarorum. The proposed architecture offers low noise, high common-mode rejection ratio (CMRR), current-efficiency, and a high-pass frequency fixed without MOS pseudoresistors. The main contributions of this work are the overall architecture coupled with an efficient and simple single-stage circuit for the amplifier main transconductor, and the ability of the amplifier to acquire biopotential signals from high-amplitude common-mode interference in an unshielded environment. A fully-integrated neural preamplifier, which performs well in line with the state-of-the-art of the field while providing enhanced CMRR performance, was fabricated in a 0.5  m CMOS process. Results from measurements show that the gain is 49.5 dB, the bandwidth ranges from 13 Hz to 9.8 kHz, the equivalent input noise is 1.88  V, the CMRR is 87 dB and the Noise Efficiency Factor is 2.1. In addition, in-vivo recordings of weakly electric fish neural activity performed by the proposed amplifier are introduced and favorably compared with those of a commercial laboratory instrumentation system.

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Year:  2018        PMID: 29877831     DOI: 10.1109/TBCAS.2018.2826720

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  1 in total

Review 1.  A Review on VCII Applications in Signal Conditioning for Sensors and Bioelectrical Signals: New Opportunities.

Authors:  Leila Safari; Gianluca Barile; Vincenzo Stornelli; Giuseppe Ferri
Journal:  Sensors (Basel)       Date:  2022-05-08       Impact factor: 3.847

  1 in total

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