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dc.contributor.author
Fernandez Corazza, Mariano
dc.contributor.author
Beltrachini, Leandro
dc.contributor.author
Von Ellenrieder, Nicolás
dc.contributor.author
Muravchik, Carlos Horacio
dc.date.available
2017-08-30T22:07:58Z
dc.date.issued
2013-09
dc.identifier.citation
Fernandez Corazza, Mariano; Beltrachini, Leandro; Von Ellenrieder, Nicolás; Muravchik, Carlos Horacio; Analysis of parametric estimation of head tissue conductivities using Electrical Impedance Tomography; Elsevier; Biomedical Signal Processing And Control; 8; 6; 9-2013; 830-837
dc.identifier.issn
1746-8094
dc.identifier.uri
http://hdl.handle.net/11336/23356
dc.description.abstract
We study the theoretical performance of using Electrical Impedance Tomography (EIT) to measure the conductivity of the main tissues of the head. The governing equations are solved using the Finite Element Method for realistically shaped head models with isotropic and anisotropic electrical conductivities. We focus on the Electroencephalography (EEG) signal frequency range since EEG source localization is the assumed application. We obtain the Cramér-Rao Lower Bound (CRLB) to find the minimum conductivity estimation error expected with EIT measurements. The more convenient electrode pairs selected for current injection from a typical EEG array are determined from the CRLB. Moreover, using simulated data, the Maximum Likelihood Estimator of the conductivity parameters is shown to be close to the CRLB for a relatively low number of measurements. The results support the idea of using EIT as a low-cost and practical tool for individually measure the conductivity of the head tissues, and to use them when solving the EEG source localization. Even when the conductivity of the soft tissues of the head is available from Diffusion Tensor Imaging, EIT can complement the electrical model with the estimation of the skull and scalp conductivities.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Electrical Impedance Tomography
dc.subject
Cramér-Rao Bound
dc.subject
Maximum Likelihood Estimator
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Electrical Conductivity Estimation
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Skull Anisotropy
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Finite Element Method
dc.title
Analysis of parametric estimation of head tissue conductivities using Electrical Impedance Tomography
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-08-30T13:35:01Z
dc.journal.volume
8
dc.journal.number
6
dc.journal.pagination
830-837
dc.journal.pais
Países Bajos
dc.journal.ciudad
Ámsterdam
dc.description.fil
Fil: Fernandez Corazza, Mariano. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Beltrachini, Leandro. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Von Ellenrieder, Nicolás. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Muravchik, Carlos Horacio. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina
dc.journal.title
Biomedical Signal Processing And Control
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.bspc.2013.08.003
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S174680941300116X
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