Analysis of gamma-band activity from human EEG using empirical mode decomposition

The purpose of this paper is to determine whether gamma-band activity detection is improved when a filter, based on empirical mode decomposition (EMD), is added to the pre-processing block of single-channel electroencephalography (EEG) signals. EMD decomposes the original signal into a finite number...

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Detalles Bibliográficos
Autores: Amo Usanos, Carlos, Santiago Rodrigo, Luis de|||0000-0002-0018-5805, Barea Navarro, Rafael|||0000-0002-4179-6100, López Dorado, Almudena|||0000-0001-8921-3886, Boquete Vázquez, Luciano|||0000-0001-8591-6103
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universidad de Alcalá (UAH)
Repositorio:e_Buah Biblioteca Digital Universidad de Alcalá
Idioma:inglés
OAI Identifier:oai:ebuah.uah.es:10017/49049
Acceso en línea:http://hdl.handle.net/10017/49049
https://dx.doi.org/10.3390/s17050989
Access Level:acceso abierto
Palabra clave:Electroencephalography
Gamma-band activity
Motor area
Motor tasks
Empirical mode decomposition
Event-related synchronization
Power spectral density
Electrónica
Electronics
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network_acronym_str ES
network_name_str España
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spelling Analysis of gamma-band activity from human EEG using empirical mode decompositionAmo Usanos, CarlosSantiago Rodrigo, Luis de|||0000-0002-0018-5805Barea Navarro, Rafael|||0000-0002-4179-6100López Dorado, Almudena|||0000-0001-8921-3886Boquete Vázquez, Luciano|||0000-0001-8591-6103ElectroencephalographyGamma-band activityMotor areaMotor tasksEmpirical mode decompositionEvent-related synchronizationPower spectral densityElectrónicaElectronicsThe purpose of this paper is to determine whether gamma-band activity detection is improved when a filter, based on empirical mode decomposition (EMD), is added to the pre-processing block of single-channel electroencephalography (EEG) signals. EMD decomposes the original signal into a finite number of intrinsic mode functions (IMFs). EEGs from 25 control subjects were registered in basal and motor activity (hand movements) using only one EEG channel. Over the basic signal, IMF signals are computed. Gamma-band activity is computed using power spectrum density in the 30–60 Hz range. Event-related synchronization (ERS) was defined as the ratio of motor and basal activity. To evaluate the performance of the new EMD based method, ERS was computed from the basic and IMF signals. The ERS obtained using IMFs improves, from 31.00% to 73.86%, on the original ERS for the right hand, and from 22.17% to 47.69% for the left hand. As EEG processing is improved, the clinical applications of gamma-band activity will expand.Universidad de AlcaláInstituto de Salud Carlos IIIMDPI20172017-04-29journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10017/49049https://dx.doi.org/10.3390/s17050989reponame:e_Buah Biblioteca Digital Universidad de Alcaláinstname:Universidad de Alcalá (UAH)InglésengUAH Not available GC2016-004ISCIII Redes de excelencia RD16%2F0008%2F0020 Red Temática de Investigación Cooperativa en Salud en Enfermedades Ocularesopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ebuah.uah.es:10017/490492026-06-18T11:13:07Z
dc.title.none.fl_str_mv Analysis of gamma-band activity from human EEG using empirical mode decomposition
title Analysis of gamma-band activity from human EEG using empirical mode decomposition
spellingShingle Analysis of gamma-band activity from human EEG using empirical mode decomposition
Amo Usanos, Carlos
Electroencephalography
Gamma-band activity
Motor area
Motor tasks
Empirical mode decomposition
Event-related synchronization
Power spectral density
Electrónica
Electronics
title_short Analysis of gamma-band activity from human EEG using empirical mode decomposition
title_full Analysis of gamma-band activity from human EEG using empirical mode decomposition
title_fullStr Analysis of gamma-band activity from human EEG using empirical mode decomposition
title_full_unstemmed Analysis of gamma-band activity from human EEG using empirical mode decomposition
title_sort Analysis of gamma-band activity from human EEG using empirical mode decomposition
dc.creator.none.fl_str_mv Amo Usanos, Carlos
Santiago Rodrigo, Luis de|||0000-0002-0018-5805
Barea Navarro, Rafael|||0000-0002-4179-6100
López Dorado, Almudena|||0000-0001-8921-3886
Boquete Vázquez, Luciano|||0000-0001-8591-6103
author Amo Usanos, Carlos
author_facet Amo Usanos, Carlos
Santiago Rodrigo, Luis de|||0000-0002-0018-5805
Barea Navarro, Rafael|||0000-0002-4179-6100
López Dorado, Almudena|||0000-0001-8921-3886
Boquete Vázquez, Luciano|||0000-0001-8591-6103
author_role author
author2 Santiago Rodrigo, Luis de|||0000-0002-0018-5805
Barea Navarro, Rafael|||0000-0002-4179-6100
López Dorado, Almudena|||0000-0001-8921-3886
Boquete Vázquez, Luciano|||0000-0001-8591-6103
author2_role author
author
author
author
dc.subject.none.fl_str_mv Electroencephalography
Gamma-band activity
Motor area
Motor tasks
Empirical mode decomposition
Event-related synchronization
Power spectral density
Electrónica
Electronics
topic Electroencephalography
Gamma-band activity
Motor area
Motor tasks
Empirical mode decomposition
Event-related synchronization
Power spectral density
Electrónica
Electronics
description The purpose of this paper is to determine whether gamma-band activity detection is improved when a filter, based on empirical mode decomposition (EMD), is added to the pre-processing block of single-channel electroencephalography (EEG) signals. EMD decomposes the original signal into a finite number of intrinsic mode functions (IMFs). EEGs from 25 control subjects were registered in basal and motor activity (hand movements) using only one EEG channel. Over the basic signal, IMF signals are computed. Gamma-band activity is computed using power spectrum density in the 30–60 Hz range. Event-related synchronization (ERS) was defined as the ratio of motor and basal activity. To evaluate the performance of the new EMD based method, ERS was computed from the basic and IMF signals. The ERS obtained using IMFs improves, from 31.00% to 73.86%, on the original ERS for the right hand, and from 22.17% to 47.69% for the left hand. As EEG processing is improved, the clinical applications of gamma-band activity will expand.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-04-29
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10017/49049
https://dx.doi.org/10.3390/s17050989
url http://hdl.handle.net/10017/49049
https://dx.doi.org/10.3390/s17050989
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv UAH Not available GC2016-004
ISCIII Redes de excelencia RD16%2F0008%2F0020 Red Temática de Investigación Cooperativa en Salud en Enfermedades Oculares
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
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-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:e_Buah Biblioteca Digital Universidad de Alcalá
instname:Universidad de Alcalá (UAH)
instname_str Universidad de Alcalá (UAH)
reponame_str e_Buah Biblioteca Digital Universidad de Alcalá
collection e_Buah Biblioteca Digital Universidad de Alcalá
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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