Current-efficient preamplifier architecture for CMRR sensitive neural recording applications

Oreggioni, Julián - Caputi, Angel - Silveira, Fernando

Resumen:

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 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.


Detalles Bibliográficos
2018
Transconductance
Computer architecture
Electrodes
Gain
Transistors
Biological systems
Microprocessors
Analog integrated circuits
Bandpass filter
Differential difference amplifier
Electric fish
High CMRR
In vivo recording
Low-power
Neural amplifier
Sub-threshold design
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/28878
Acceso abierto
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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author Oreggioni, Julián
author2 Caputi, Angel
Silveira, Fernando
author2_role author
author
author_facet Oreggioni, Julián
Caputi, Angel
Silveira, Fernando
author_role author
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collection COLIBRI
dc.contributor.filiacion.none.fl_str_mv Oreggioni Julián, Universidad de la República (Uruguay). Facultad de Ingeniería.
Caputi Angel, Instituto de Investigaciones Biológicas Clemente Estable.
Silveira Fernando, Universidad de la República (Uruguay). Facultad de Ingeniería.
dc.creator.none.fl_str_mv Oreggioni, Julián
Caputi, Angel
Silveira, Fernando
dc.date.accessioned.none.fl_str_mv 2021-08-04T15:26:47Z
dc.date.available.none.fl_str_mv 2021-08-04T15:26:47Z
dc.date.issued.none.fl_str_mv 2018
dc.description.abstract.none.fl_txt_mv 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 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.
dc.description.es.fl_txt_mv Este 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).
dc.format.extent.es.fl_str_mv 11 p.
dc.format.mimetype.es.fl_str_mv application/pdf
dc.identifier.citation.es.fl_str_mv Oreggioni, 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.2018.2826720
dc.identifier.doi.none.fl_str_mv 10.1109/TBCAS.2018.2826720
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/28878
dc.language.iso.none.fl_str_mv en
eng
dc.publisher.es.fl_str_mv IEEE
dc.relation.ispartof.es.fl_str_mv IEEE Transactions on Biomedical Circuits and Systems, Volume 12, Number 3, p. 689-699, Jun 2018
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.en.fl_str_mv Transconductance
Computer architecture
Electrodes
Gain
Transistors
Biological systems
Microprocessors
Analog integrated circuits
Bandpass filter
Differential difference amplifier
Electric fish
High CMRR
In vivo recording
Low-power
Neural amplifier
Sub-threshold design
dc.title.none.fl_str_mv Current-efficient preamplifier architecture for CMRR sensitive neural recording applications
dc.type.es.fl_str_mv Artículo
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description Este 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).
eu_rights_str_mv openAccess
format article
id COLIBRI_3f72cd3548ef3d0c6b40a54ccc86ab60
identifier_str_mv Oreggioni, 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.2018.2826720
10.1109/TBCAS.2018.2826720
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language eng
language_invalid_str_mv en
network_acronym_str COLIBRI
network_name_str COLIBRI
oai_identifier_str oai:colibri.udelar.edu.uy:20.500.12008/28878
publishDate 2018
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
rights_invalid_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
spelling Oreggioni Julián, Universidad de la República (Uruguay). Facultad de Ingeniería.Caputi Angel, Instituto de Investigaciones Biológicas Clemente Estable.Silveira Fernando, Universidad de la República (Uruguay). Facultad de Ingeniería.2021-08-04T15:26:47Z2021-08-04T15:26:47Z2018Oreggioni, 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.2018.2826720https://hdl.handle.net/20.500.12008/2887810.1109/TBCAS.2018.2826720Este 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).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 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.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2021-08-03T21:22:17Z No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) OCS18.pdf: 6369642 bytes, checksum: 1c9e6cbc1976c52019c6f3fdd781e9c8 (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2021-08-04T15:22:20Z (GMT) No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) OCS18.pdf: 6369642 bytes, checksum: 1c9e6cbc1976c52019c6f3fdd781e9c8 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2021-08-04T15:26:47Z (GMT). No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) OCS18.pdf: 6369642 bytes, checksum: 1c9e6cbc1976c52019c6f3fdd781e9c8 (MD5) Previous issue date: 201811 p.application/pdfenengIEEEIEEE Transactions on Biomedical Circuits and Systems, Volume 12, Number 3, p. 689-699, Jun 2018Las 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)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)TransconductanceComputer architectureElectrodesGainTransistorsBiological systemsMicroprocessorsAnalog integrated circuitsBandpass filterDifferential difference amplifierElectric fishHigh CMRRIn vivo recordingLow-powerNeural amplifierSub-threshold designCurrent-efficient preamplifier architecture for CMRR sensitive neural recording applicationsArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaOreggioni, JuliánCaputi, AngelSilveira, FernandoElectrónicaMicroelectrónicaLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/28878/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; 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- Universidad de la Repúblicafalse
spellingShingle Current-efficient preamplifier architecture for CMRR sensitive neural recording applications
Oreggioni, Julián
Transconductance
Computer architecture
Electrodes
Gain
Transistors
Biological systems
Microprocessors
Analog integrated circuits
Bandpass filter
Differential difference amplifier
Electric fish
High CMRR
In vivo recording
Low-power
Neural amplifier
Sub-threshold design
status_str publishedVersion
title Current-efficient preamplifier architecture for CMRR sensitive neural recording applications
title_full Current-efficient preamplifier architecture for CMRR sensitive neural recording applications
title_fullStr Current-efficient preamplifier architecture for CMRR sensitive neural recording applications
title_full_unstemmed Current-efficient preamplifier architecture for CMRR sensitive neural recording applications
title_short Current-efficient preamplifier architecture for CMRR sensitive neural recording applications
title_sort Current-efficient preamplifier architecture for CMRR sensitive neural recording applications
topic Transconductance
Computer architecture
Electrodes
Gain
Transistors
Biological systems
Microprocessors
Analog integrated circuits
Bandpass filter
Differential difference amplifier
Electric fish
High CMRR
In vivo recording
Low-power
Neural amplifier
Sub-threshold design
url https://hdl.handle.net/20.500.12008/28878