A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: a simulation case

Eye movement artifacts represent a critical issue for quantitative electroencephalography (EEG) analysis and a number of mathematical approaches have been proposed to reduce their contribution in EEG recordings. The aim of this paper was to objectively and quantitatively evaluate the performance of...

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Autores: Romero Lafuente, Sergio|||0000-0002-8627-543X, Mañanas Villanueva, Miguel Ángel|||0000-0001-9836-6083, Barbanoj, Manel J.
Tipo de recurso: artículo
Fecha de publicación:2008
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/9398
Acceso en línea:https://hdl.handle.net/2117/9398
https://dx.doi.org/10.1016/j.compbiomed.2007.12.001
Access Level:acceso abierto
Palabra clave:Optics.
Eye--Movements.
Oftalmologia -- Aparells i instruments
Oftalmologia
Àrees temàtiques de la UPC::Ciències de la salut
Àrees temàtiques de la UPC::Ciències de la visió
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oai_identifier_str oai:upcommons.upc.edu:2117/9398
network_acronym_str ES
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repository_id_str
spelling A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: a simulation caseRomero Lafuente, Sergio|||0000-0002-8627-543XMañanas Villanueva, Miguel Ángel|||0000-0001-9836-6083Barbanoj, Manel J.Optics.Eye--Movements.Oftalmologia -- Aparells i instrumentsOftalmologiaÀrees temàtiques de la UPC::Ciències de la salutÀrees temàtiques de la UPC::Ciències de la visióEye movement artifacts represent a critical issue for quantitative electroencephalography (EEG) analysis and a number of mathematical approaches have been proposed to reduce their contribution in EEG recordings. The aim of this paper was to objectively and quantitatively evaluate the performance of ocular filtering methods with respect to spectral target variables widely used in clinical and functional EEG studies. In particular the following methods were applied: regression analysis and some blind source separation (BSS) techniques based on second-order statistics (PCA, AMUSE and SOBI) and on higher-order statistics (JADE, INFOMAX and FASTICA). Considering blind source decomposition methods, a completely automatic procedure of BSS based on logical rules related to spectral and topographical information was proposed in order to identify the components related to ocular interference. The automatic procedure was applied in different montages of simulated EEG and electrooculography (EOG) recordings: a full montage with 19 EEG and 2 EOG channels, a reduced one with only 6 EEG leads and a third one where EOG channels were not available. Time and frequency results in all of them indicated that AMUSE and SOBI algorithms preserved and recovered more brain activity than the other methods mainly at anterior regions. In the case of full montage: (i) errors were lower than 5% for all spectral variables at anterior sites; and (ii) the highest improvement in the signal-to-artifact (SAR) ratio was obtained up to 40 dB at these anterior sites. Finally, we concluded that second-order BSS-based algorithms (AMUSE and SOBI)ELSEVIER20082008-03-0120102010-10-05journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/9398https://dx.doi.org/10.1016/j.compbiomed.2007.12.001reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/93982026-05-27T15:37:01Z
dc.title.none.fl_str_mv A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: a simulation case
title A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: a simulation case
spellingShingle A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: a simulation case
Romero Lafuente, Sergio|||0000-0002-8627-543X
Optics.
Eye--Movements.
Oftalmologia -- Aparells i instruments
Oftalmologia
Àrees temàtiques de la UPC::Ciències de la salut
Àrees temàtiques de la UPC::Ciències de la visió
title_short A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: a simulation case
title_full A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: a simulation case
title_fullStr A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: a simulation case
title_full_unstemmed A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: a simulation case
title_sort A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: a simulation case
dc.creator.none.fl_str_mv Romero Lafuente, Sergio|||0000-0002-8627-543X
Mañanas Villanueva, Miguel Ángel|||0000-0001-9836-6083
Barbanoj, Manel J.
author Romero Lafuente, Sergio|||0000-0002-8627-543X
author_facet Romero Lafuente, Sergio|||0000-0002-8627-543X
Mañanas Villanueva, Miguel Ángel|||0000-0001-9836-6083
Barbanoj, Manel J.
author_role author
author2 Mañanas Villanueva, Miguel Ángel|||0000-0001-9836-6083
Barbanoj, Manel J.
author2_role author
author
dc.subject.none.fl_str_mv Optics.
Eye--Movements.
Oftalmologia -- Aparells i instruments
Oftalmologia
Àrees temàtiques de la UPC::Ciències de la salut
Àrees temàtiques de la UPC::Ciències de la visió
topic Optics.
Eye--Movements.
Oftalmologia -- Aparells i instruments
Oftalmologia
Àrees temàtiques de la UPC::Ciències de la salut
Àrees temàtiques de la UPC::Ciències de la visió
description Eye movement artifacts represent a critical issue for quantitative electroencephalography (EEG) analysis and a number of mathematical approaches have been proposed to reduce their contribution in EEG recordings. The aim of this paper was to objectively and quantitatively evaluate the performance of ocular filtering methods with respect to spectral target variables widely used in clinical and functional EEG studies. In particular the following methods were applied: regression analysis and some blind source separation (BSS) techniques based on second-order statistics (PCA, AMUSE and SOBI) and on higher-order statistics (JADE, INFOMAX and FASTICA). Considering blind source decomposition methods, a completely automatic procedure of BSS based on logical rules related to spectral and topographical information was proposed in order to identify the components related to ocular interference. The automatic procedure was applied in different montages of simulated EEG and electrooculography (EOG) recordings: a full montage with 19 EEG and 2 EOG channels, a reduced one with only 6 EEG leads and a third one where EOG channels were not available. Time and frequency results in all of them indicated that AMUSE and SOBI algorithms preserved and recovered more brain activity than the other methods mainly at anterior regions. In the case of full montage: (i) errors were lower than 5% for all spectral variables at anterior sites; and (ii) the highest improvement in the signal-to-artifact (SAR) ratio was obtained up to 40 dB at these anterior sites. Finally, we concluded that second-order BSS-based algorithms (AMUSE and SOBI)
publishDate 2008
dc.date.none.fl_str_mv 2008
2008-03-01
2010
2010-10-05
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/9398
https://dx.doi.org/10.1016/j.compbiomed.2007.12.001
url https://hdl.handle.net/2117/9398
https://dx.doi.org/10.1016/j.compbiomed.2007.12.001
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv ELSEVIER
publisher.none.fl_str_mv ELSEVIER
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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