Waveform selection for electrical impedance tomography

Autores
Fernandez Corazza, Mariano; Beltrachini, Leandro; Von Ellenrieder, Nicolás; Muravchik, Carlos Horacio
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Electrical Impedance Tomography (EIT) is a non– invasive method that can be used to estimate the electrical conductivity of the head tissues. It is based on the measurement of electric potential on the scalp generated by the injection of a small electric current. If the generated electric potential distribution is measured with an Electroencephalography (EEG) equipment, the neural activity of the brain will produce signals that may affect the EIT measurements. In the present work we propose a method to reduce the effect of these signals and show a procedure to obtain the minimum number of samples that is needed to neglect the effect of the brain activity. The method requires the obtention of the optimum waveform for the applied current to minimize the variance of the electric potential estimation. As an example, the method is applied to two sets of EEG measurements of two patients, and we determine the optimum waveform and minimum number of samples for each measurement set. We also show that the replacement of the optimum waveform by a sinusoid with arbitrary phase does not significantly affect the estimations, but a previous spectral analysis of the brain activity must be performed in order to determine convenient frequencies.
Fil: Fernandez Corazza, Mariano. Universidad Nacional de La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Beltrachini, Leandro. Universidad Nacional de La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Von Ellenrieder, Nicolás. Universidad Nacional de La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Muravchik, Carlos Horacio. Universidad Nacional de La Plata; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Electrical Impedance Tomography
Waveform Estimation
Number of Samples
Electroencephalography
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/22098
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/22098
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network_name_str CONICET Digital (CONICET)
spelling Waveform selection for electrical impedance tomographyFernandez Corazza, MarianoBeltrachini, LeandroVon Ellenrieder, NicolásMuravchik, Carlos HoracioElectrical Impedance TomographyWaveform EstimationNumber of SamplesElectroencephalographyhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Electrical Impedance Tomography (EIT) is a non– invasive method that can be used to estimate the electrical conductivity of the head tissues. It is based on the measurement of electric potential on the scalp generated by the injection of a small electric current. If the generated electric potential distribution is measured with an Electroencephalography (EEG) equipment, the neural activity of the brain will produce signals that may affect the EIT measurements. In the present work we propose a method to reduce the effect of these signals and show a procedure to obtain the minimum number of samples that is needed to neglect the effect of the brain activity. The method requires the obtention of the optimum waveform for the applied current to minimize the variance of the electric potential estimation. As an example, the method is applied to two sets of EEG measurements of two patients, and we determine the optimum waveform and minimum number of samples for each measurement set. We also show that the replacement of the optimum waveform by a sinusoid with arbitrary phase does not significantly affect the estimations, but a previous spectral analysis of the brain activity must be performed in order to determine convenient frequencies.Fil: Fernandez Corazza, Mariano. Universidad Nacional de La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Beltrachini, Leandro. Universidad Nacional de La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Von Ellenrieder, Nicolás. Universidad Nacional de La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Muravchik, Carlos Horacio. Universidad Nacional de La Plata; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaInstitute of Electrical and Electronics Engineers2013-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/22098Fernandez Corazza, Mariano; Beltrachini, Leandro; Von Ellenrieder, Nicolás; Muravchik, Carlos Horacio; Waveform selection for electrical impedance tomography; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 11; 1; 4-2013; 402-4071548-0992CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/6502837/info:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2013.6502837info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:49:19Zoai:ri.conicet.gov.ar:11336/22098instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:49:19.951CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Waveform selection for electrical impedance tomography
title Waveform selection for electrical impedance tomography
spellingShingle Waveform selection for electrical impedance tomography
Fernandez Corazza, Mariano
Electrical Impedance Tomography
Waveform Estimation
Number of Samples
Electroencephalography
title_short Waveform selection for electrical impedance tomography
title_full Waveform selection for electrical impedance tomography
title_fullStr Waveform selection for electrical impedance tomography
title_full_unstemmed Waveform selection for electrical impedance tomography
title_sort Waveform selection for electrical impedance tomography
dc.creator.none.fl_str_mv Fernandez Corazza, Mariano
Beltrachini, Leandro
Von Ellenrieder, Nicolás
Muravchik, Carlos Horacio
author Fernandez Corazza, Mariano
author_facet Fernandez Corazza, Mariano
Beltrachini, Leandro
Von Ellenrieder, Nicolás
Muravchik, Carlos Horacio
author_role author
author2 Beltrachini, Leandro
Von Ellenrieder, Nicolás
Muravchik, Carlos Horacio
author2_role author
author
author
dc.subject.none.fl_str_mv Electrical Impedance Tomography
Waveform Estimation
Number of Samples
Electroencephalography
topic Electrical Impedance Tomography
Waveform Estimation
Number of Samples
Electroencephalography
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Electrical Impedance Tomography (EIT) is a non– invasive method that can be used to estimate the electrical conductivity of the head tissues. It is based on the measurement of electric potential on the scalp generated by the injection of a small electric current. If the generated electric potential distribution is measured with an Electroencephalography (EEG) equipment, the neural activity of the brain will produce signals that may affect the EIT measurements. In the present work we propose a method to reduce the effect of these signals and show a procedure to obtain the minimum number of samples that is needed to neglect the effect of the brain activity. The method requires the obtention of the optimum waveform for the applied current to minimize the variance of the electric potential estimation. As an example, the method is applied to two sets of EEG measurements of two patients, and we determine the optimum waveform and minimum number of samples for each measurement set. We also show that the replacement of the optimum waveform by a sinusoid with arbitrary phase does not significantly affect the estimations, but a previous spectral analysis of the brain activity must be performed in order to determine convenient frequencies.
Fil: Fernandez Corazza, Mariano. Universidad Nacional de La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Beltrachini, Leandro. Universidad Nacional de La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Von Ellenrieder, Nicolás. Universidad Nacional de La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Muravchik, Carlos Horacio. Universidad Nacional de La Plata; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Electrical Impedance Tomography (EIT) is a non– invasive method that can be used to estimate the electrical conductivity of the head tissues. It is based on the measurement of electric potential on the scalp generated by the injection of a small electric current. If the generated electric potential distribution is measured with an Electroencephalography (EEG) equipment, the neural activity of the brain will produce signals that may affect the EIT measurements. In the present work we propose a method to reduce the effect of these signals and show a procedure to obtain the minimum number of samples that is needed to neglect the effect of the brain activity. The method requires the obtention of the optimum waveform for the applied current to minimize the variance of the electric potential estimation. As an example, the method is applied to two sets of EEG measurements of two patients, and we determine the optimum waveform and minimum number of samples for each measurement set. We also show that the replacement of the optimum waveform by a sinusoid with arbitrary phase does not significantly affect the estimations, but a previous spectral analysis of the brain activity must be performed in order to determine convenient frequencies.
publishDate 2013
dc.date.none.fl_str_mv 2013-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/22098
Fernandez Corazza, Mariano; Beltrachini, Leandro; Von Ellenrieder, Nicolás; Muravchik, Carlos Horacio; Waveform selection for electrical impedance tomography; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 11; 1; 4-2013; 402-407
1548-0992
CONICET Digital
CONICET
url http://hdl.handle.net/11336/22098
identifier_str_mv Fernandez Corazza, Mariano; Beltrachini, Leandro; Von Ellenrieder, Nicolás; Muravchik, Carlos Horacio; Waveform selection for electrical impedance tomography; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 11; 1; 4-2013; 402-407
1548-0992
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/6502837/
info:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2013.6502837
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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