Estimating parametric line-source models with electroencephalography

We develop three parametric models for electroencephalography (EEG) to estimate current sources that are spatially distributed on a line. We assume a realistic head model and solve the EEG forward problem using the boundary element method (BEM). We present the models with increasing degrees of freed...

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Detalles Bibliográficos
Autores: Cao, Nannan, Yetik, Samil, Nehorai, Arye, Muravchik, Carlos Horacio, Haueisen, Jens
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2006
País:Argentina
Institución:Universidad Nacional de La Plata
Repositorio:SEDICI (UNLP)
Idioma:inglés
OAI Identifier:oai:sedici.unlp.edu.ar:10915/127106
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/127106
Access Level:acceso abierto
Palabra clave:Ingeniería Electrónica
Cramér-Rao bounds
EEG
Extended source modeling
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spelling Estimating parametric line-source models with electroencephalographyCao, NannanYetik, SamilNehorai, AryeMuravchik, Carlos HoracioHaueisen, JensIngeniería ElectrónicaCramér-Rao boundsEEGExtended source modelingWe develop three parametric models for electroencephalography (EEG) to estimate current sources that are spatially distributed on a line. We assume a realistic head model and solve the EEG forward problem using the boundary element method (BEM). We present the models with increasing degrees of freedom, provide the forward solutions, and derive the maximum-likelihood estimates as well as Crameacuter-Rao bounds of the unknown source parameters. A series of experiments are conducted to evaluate the applicability of the proposed models. We use numerical examples to demonstrate the usefulness of our line-source models in estimating extended sources. We also apply our models to the real EEG data of N20 response that is known to have an extended source. We observe that the line-source models explain the N20 measurements better than the dipole modelInstituto de Investigaciones en Electrónica, Control y Procesamiento de Señales2006info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf2156-2165http://sedici.unlp.edu.ar/handle/10915/127106enginfo:eu-repo/semantics/altIdentifier/issn/0018-9294info:eu-repo/semantics/altIdentifier/issn/1558-2531info:eu-repo/semantics/altIdentifier/pmid/17073320info:eu-repo/semantics/altIdentifier/doi/10.1109/tbme.2006.880885info: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:UNLP2024-05-08T13:09:15Zoai:sedici.unlp.edu.ar:10915/127106Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292024-05-08 13:09:15.36SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Estimating parametric line-source models with electroencephalography
title Estimating parametric line-source models with electroencephalography
spellingShingle Estimating parametric line-source models with electroencephalography
Cao, Nannan
Ingeniería Electrónica
Cramér-Rao bounds
EEG
Extended source modeling
title_short Estimating parametric line-source models with electroencephalography
title_full Estimating parametric line-source models with electroencephalography
title_fullStr Estimating parametric line-source models with electroencephalography
title_full_unstemmed Estimating parametric line-source models with electroencephalography
title_sort Estimating parametric line-source models with electroencephalography
dc.creator.none.fl_str_mv Cao, Nannan
Yetik, Samil
Nehorai, Arye
Muravchik, Carlos Horacio
Haueisen, Jens
author Cao, Nannan
author_facet Cao, Nannan
Yetik, Samil
Nehorai, Arye
Muravchik, Carlos Horacio
Haueisen, Jens
author_role author
author2 Yetik, Samil
Nehorai, Arye
Muravchik, Carlos Horacio
Haueisen, Jens
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ingeniería Electrónica
Cramér-Rao bounds
EEG
Extended source modeling
topic Ingeniería Electrónica
Cramér-Rao bounds
EEG
Extended source modeling
description We develop three parametric models for electroencephalography (EEG) to estimate current sources that are spatially distributed on a line. We assume a realistic head model and solve the EEG forward problem using the boundary element method (BEM). We present the models with increasing degrees of freedom, provide the forward solutions, and derive the maximum-likelihood estimates as well as Crameacuter-Rao bounds of the unknown source parameters. A series of experiments are conducted to evaluate the applicability of the proposed models. We use numerical examples to demonstrate the usefulness of our line-source models in estimating extended sources. We also apply our models to the real EEG data of N20 response that is known to have an extended source. We observe that the line-source models explain the N20 measurements better than the dipole model
publishDate 2006
dc.date.none.fl_str_mv 2006
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
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status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/127106
url http://sedici.unlp.edu.ar/handle/10915/127106
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/0018-9294
info:eu-repo/semantics/altIdentifier/issn/1558-2531
info:eu-repo/semantics/altIdentifier/pmid/17073320
info:eu-repo/semantics/altIdentifier/doi/10.1109/tbme.2006.880885
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
2156-2165
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
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instname_str Universidad Nacional de La Plata
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reponame_str SEDICI (UNLP)
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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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