Spatial filtering in electrical impedance tomography

Autores
Fernández Corazza, Mariano; Ellenrieder, Nicolás von; Muravchik, Carlos Horacio
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We propose a new method to localize electrical conductivity changes in the human head using Electrical Impedance Tomography (EIT). In EIT, a localized conductivity change produces a change in the electric potential distribution which is equivalent to a potential generated by a dipole at the same location. We propose to estimate the location of conductivity changes with the same techniques used to solve the Electroencephalography source localization problem. In particular, we show an adaptation of the Linear Constrain Minimum Variance Beamforming technique to perform this estimation. We simulate a localized 10% conductivity change in a realistic model of the human head to apply the method. Results show that depending on the noise level, the method can accurately localize the conductivity change.
Laboratorio de Electrónica Industrial, Control e Instrumentación
Facultad de Ingeniería
Materia
Ingeniería
Linear Constrain Minimum Variance Beamforming
electrical conductivity
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/84585
Acceder
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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Spatial filtering in electrical impedance tomographyFernández Corazza, MarianoEllenrieder, Nicolás vonMuravchik, Carlos HoracioIngenieríaLinear Constrain Minimum Variance Beamformingelectrical conductivityWe propose a new method to localize electrical conductivity changes in the human head using Electrical Impedance Tomography (EIT). In EIT, a localized conductivity change produces a change in the electric potential distribution which is equivalent to a potential generated by a dipole at the same location. We propose to estimate the location of conductivity changes with the same techniques used to solve the Electroencephalography source localization problem. In particular, we show an adaptation of the Linear Constrain Minimum Variance Beamforming technique to perform this estimation. We simulate a localized 10% conductivity change in a realistic model of the human head to apply the method. Results show that depending on the noise level, the method can accurately localize the conductivity change.Laboratorio de Electrónica Industrial, Control e InstrumentaciónFacultad de Ingeniería2012info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/84585enginfo:eu-repo/semantics/altIdentifier/issn/1742-6588info:eu-repo/semantics/altIdentifier/doi/10.1088/1742-6596/407/1/012023info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T16:56:56Zoai:sedici.unlp.edu.ar:10915/84585Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 16:56:57.102SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Spatial filtering in electrical impedance tomography
title Spatial filtering in electrical impedance tomography
spellingShingle Spatial filtering in electrical impedance tomography
Fernández Corazza, Mariano
Ingeniería
Linear Constrain Minimum Variance Beamforming
electrical conductivity
title_short Spatial filtering in electrical impedance tomography
title_full Spatial filtering in electrical impedance tomography
title_fullStr Spatial filtering in electrical impedance tomography
title_full_unstemmed Spatial filtering in electrical impedance tomography
title_sort Spatial filtering in electrical impedance tomography
dc.creator.none.fl_str_mv Fernández Corazza, Mariano
Ellenrieder, Nicolás von
Muravchik, Carlos Horacio
author Fernández Corazza, Mariano
author_facet Fernández Corazza, Mariano
Ellenrieder, Nicolás von
Muravchik, Carlos Horacio
author_role author
author2 Ellenrieder, Nicolás von
Muravchik, Carlos Horacio
author2_role author
author
dc.subject.none.fl_str_mv Ingeniería
Linear Constrain Minimum Variance Beamforming
electrical conductivity
topic Ingeniería
Linear Constrain Minimum Variance Beamforming
electrical conductivity
dc.description.none.fl_txt_mv We propose a new method to localize electrical conductivity changes in the human head using Electrical Impedance Tomography (EIT). In EIT, a localized conductivity change produces a change in the electric potential distribution which is equivalent to a potential generated by a dipole at the same location. We propose to estimate the location of conductivity changes with the same techniques used to solve the Electroencephalography source localization problem. In particular, we show an adaptation of the Linear Constrain Minimum Variance Beamforming technique to perform this estimation. We simulate a localized 10% conductivity change in a realistic model of the human head to apply the method. Results show that depending on the noise level, the method can accurately localize the conductivity change.
Laboratorio de Electrónica Industrial, Control e Instrumentación
Facultad de Ingeniería
description We propose a new method to localize electrical conductivity changes in the human head using Electrical Impedance Tomography (EIT). In EIT, a localized conductivity change produces a change in the electric potential distribution which is equivalent to a potential generated by a dipole at the same location. We propose to estimate the location of conductivity changes with the same techniques used to solve the Electroencephalography source localization problem. In particular, we show an adaptation of the Linear Constrain Minimum Variance Beamforming technique to perform this estimation. We simulate a localized 10% conductivity change in a realistic model of the human head to apply the method. Results show that depending on the noise level, the method can accurately localize the conductivity change.
publishDate 2012
dc.date.none.fl_str_mv 2012
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/84585
url http://sedici.unlp.edu.ar/handle/10915/84585
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1742-6588
info:eu-repo/semantics/altIdentifier/doi/10.1088/1742-6596/407/1/012023
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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