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dc.contributor.authorOreggioni, Julián-
dc.contributor.authorCaputi, Angel-
dc.contributor.authorSilveira, Fernando-
dc.date.accessioned2021-08-04T15:26:47Z-
dc.date.available2021-08-04T15:26:47Z-
dc.date.issued2018-
dc.identifier.citationOreggioni, J., Caputi, A. y Silveira, F. "Current-efficient preamplifier architecture for CMRR sensitive neural recording applications". IEEE Transactions on Biomedical Circuits and Systems. [en línea]. 2018, vol. 12, no 3, pp. 689-699, DOI: 10.1109/TBCAS.2018.2826720es
dc.identifier.urihttps://hdl.handle.net/20.500.12008/28878-
dc.descriptionEste trabajo fue parcialmente financiado por CSIC (Comisión Sectorial de Investigación Científica, Uruguay), ANII (Agencia Nacional de Investigación e Innovación, Uruguay) y CAP (Comisión Académica de Posgrado, Uruguay).es
dc.description.abstractThere 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 invivo 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 μm 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 μVrms, 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.en
dc.format.extent11 p.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenes
dc.publisherIEEEes
dc.relation.ispartofIEEE Transactions on Biomedical Circuits and Systems, Volume 12, Number 3, p. 689-699, Jun 2018es
dc.rightsLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)es
dc.subjectTransconductanceen
dc.subjectComputer architectureen
dc.subjectElectrodesen
dc.subjectGainen
dc.subjectTransistorsen
dc.subjectBiological systemsen
dc.subjectMicroprocessorsen
dc.subjectAnalog integrated circuitsen
dc.subjectBandpass filteren
dc.subjectDifferential difference amplifieren
dc.subjectElectric fishen
dc.subjectHigh CMRRen
dc.subjectIn vivo recordingen
dc.subjectLow-poweren
dc.subjectNeural amplifieren
dc.subjectSub-threshold designen
dc.titleCurrent-efficient preamplifier architecture for CMRR sensitive neural recording applicationsen
dc.typeArtículoes
dc.contributor.filiacionOreggioni Julián, Universidad de la República (Uruguay). Facultad de Ingeniería.-
dc.contributor.filiacionCaputi Angel, Instituto de Investigaciones Biológicas Clemente Estable.-
dc.contributor.filiacionSilveira Fernando, Universidad de la República (Uruguay). Facultad de Ingeniería.-
dc.rights.licenceLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)es
dc.identifier.doi10.1109/TBCAS.2018.2826720-
Aparece en las colecciones: Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica

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