Current-efficient preamplifier architecture for CMRR sensitive neural recording applications
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.
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 |
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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) |
_version_ | 1807522897364779008 |
---|---|
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 |