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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/84585
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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:UNLP2025-09-29T11:16:05Zoai: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:13292025-09-29 11:16:05.65SEDICI (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) |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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application/pdf |
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