Detection of epileptic spikes in electroencephalographic signals for patients with temporal lobe epilepsy using wavelets
This work describes a method for the detection of epileptic tips in an electroencephalographic (EEG) surface record taking a single channel. A pattern was identified when using the multiresolution analysis with a biortogonal wavelet after processing and analyzing with the Matlab Wavelet Toolbox, 207...
- Autores:
-
Eduardo Castaño, Nelson
Zapata, José Fernando
Villegas Gutiérrez, Jairo Alberto
- Tipo de recurso:
- Fecha de publicación:
- 2009
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- spa
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/14514
- Acceso en línea:
- http://hdl.handle.net/10784/14514
- Palabra clave:
- Multiresolution Analysis
Biortogonal Wavelet
Detection Of Epileptic Tips
Análisis Multirresolución
Wavelet Biortogonal
Detección De Puntas Epilépticas
- Rights
- License
- Copyright (c) 2008 Nelson Eduardo Castaño, José Fernando Zapata, Jairo Villegas G.
| id |
REPOEAFIT2_305b4aa07ba2897b2db64a2eaa9b003d |
|---|---|
| oai_identifier_str |
oai:repository.eafit.edu.co:10784/14514 |
| network_acronym_str |
REPOEAFIT2 |
| network_name_str |
Repositorio EAFIT |
| repository_id_str |
|
| spelling |
Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees2009-06-012019-11-22T19:06:23Z2009-06-012019-11-22T19:06:23Z2256-43141794-9165http://hdl.handle.net/10784/14514This work describes a method for the detection of epileptic tips in an electroencephalographic (EEG) surface record taking a single channel. A pattern was identified when using the multiresolution analysis with a biortogonal wavelet after processing and analyzing with the Matlab Wavelet Toolbox, 207 tips records and 132 records of devices previously classified by the neurophysiologist. This pattern allowed us to design an algorithm for the detection of tips in patients with refractory episodes of the temporal lobe, based on the maximum voltages at each of the six reconstruction levels using the biortogonal wavelet 3.7. The algorithm was applied to over-records of patients with epilepsy, obtaining a sensitivity of 92% and a specificity of 80% in the diagnosis of epileptic tips.En este trabajo se describe un método para la detección de puntas epilépticasen un registro electroencefalográfico(EEG) de superficie tomando un solocanal. Se identificó un patrón al utilizar el análisis multirresolución con unawavelet biortogonal después de procesar y analizar con el Toolbox Waveletde Matlab, 207 registros de puntas y 132 registros de artificios previamenteclasificadas por el neurofisiólogo. Este patrón permitió diseñar un algoritmopara la detección de puntas en pacientes con epilepsia refractaria del lóbulotemporal, a partir de los máximos voltajes en cada uno de los seis niveles de reconstrucción usando la wavelet biortogonal 3.7. El algoritmo se aplicó sobreregistros de pacientes con epilepsia, obteniéndose una sensibilidad del 92% yuna especificidad del 80% en el diagnóstico de las puntas epilépticas.application/pdfspaUniversidad EAFIThttp://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/471http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/471Copyright (c) 2008 Nelson Eduardo Castaño, José Fernando Zapata, Jairo Villegas G.Acceso abiertohttp://purl.org/coar/access_right/c_abf2instname:Universidad EAFITreponame:Repositorio Institucional Universidad EAFITIngeniería y Ciencia; Vol 5, No 9 (2009)Detection of epileptic spikes in electroencephalographic signals for patients with temporal lobe epilepsy using waveletsDetección de puntas epilépticas en señales electroencefalográficas para pacientes con epilepsia del lóbulo temporal utilizando waveletsarticleinfo:eu-repo/semantics/articlepublishedVersioninfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Multiresolution AnalysisBiortogonal WaveletDetection Of Epileptic TipsAnálisis MultirresoluciónWavelet BiortogonalDetección De Puntas EpilépticasEduardo Castaño, NelsonZapata, José FernandoVillegas Gutiérrez, Jairo AlbertoInstituto Tecnológico MetropolitanoInstituto Tecnológico MetropolitanoUniversidad EAFITIngeniería y Ciencia59145165ing.cienc.THUMBNAILminaitura-ig_Mesa de trabajo 1.jpgminaitura-ig_Mesa de trabajo 1.jpgimage/jpeg265796https://repository.eafit.edu.co/bitstreams/b4ff7421-d91d-4b92-850f-15e0f0b56b1b/downloadda9b21a5c7e00c7f1127cef8e97035e0MD51ORIGINAL7.pdf7.pdfTexto completo PDFapplication/pdf324870https://repository.eafit.edu.co/bitstreams/813013bd-ed74-477d-802e-33cddb3c5b61/download168b451e4402fb974ca3cd911a9f86e7MD52articulo.htmlarticulo.htmlTexto completo HTMLtext/html373https://repository.eafit.edu.co/bitstreams/37124864-41c3-4338-94dc-3d0f82e2e5ef/download21ed9bbe25b714d445e493a43066d23aMD5310784/14514oai:repository.eafit.edu.co:10784/145142020-03-02 23:01:51.279open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co |
| dc.title.eng.fl_str_mv |
Detection of epileptic spikes in electroencephalographic signals for patients with temporal lobe epilepsy using wavelets |
| dc.title.spa.fl_str_mv |
Detección de puntas epilépticas en señales electroencefalográficas para pacientes con epilepsia del lóbulo temporal utilizando wavelets |
| title |
Detection of epileptic spikes in electroencephalographic signals for patients with temporal lobe epilepsy using wavelets |
| spellingShingle |
Detection of epileptic spikes in electroencephalographic signals for patients with temporal lobe epilepsy using wavelets Multiresolution Analysis Biortogonal Wavelet Detection Of Epileptic Tips Análisis Multirresolución Wavelet Biortogonal Detección De Puntas Epilépticas |
| title_short |
Detection of epileptic spikes in electroencephalographic signals for patients with temporal lobe epilepsy using wavelets |
| title_full |
Detection of epileptic spikes in electroencephalographic signals for patients with temporal lobe epilepsy using wavelets |
| title_fullStr |
Detection of epileptic spikes in electroencephalographic signals for patients with temporal lobe epilepsy using wavelets |
| title_full_unstemmed |
Detection of epileptic spikes in electroencephalographic signals for patients with temporal lobe epilepsy using wavelets |
| title_sort |
Detection of epileptic spikes in electroencephalographic signals for patients with temporal lobe epilepsy using wavelets |
| dc.creator.fl_str_mv |
Eduardo Castaño, Nelson Zapata, José Fernando Villegas Gutiérrez, Jairo Alberto |
| dc.contributor.author.spa.fl_str_mv |
Eduardo Castaño, Nelson Zapata, José Fernando Villegas Gutiérrez, Jairo Alberto |
| dc.contributor.affiliation.spa.fl_str_mv |
Instituto Tecnológico Metropolitano Instituto Tecnológico Metropolitano Universidad EAFIT |
| dc.subject.keyword.eng.fl_str_mv |
Multiresolution Analysis Biortogonal Wavelet Detection Of Epileptic Tips |
| topic |
Multiresolution Analysis Biortogonal Wavelet Detection Of Epileptic Tips Análisis Multirresolución Wavelet Biortogonal Detección De Puntas Epilépticas |
| dc.subject.keyword.spa.fl_str_mv |
Análisis Multirresolución Wavelet Biortogonal Detección De Puntas Epilépticas |
| description |
This work describes a method for the detection of epileptic tips in an electroencephalographic (EEG) surface record taking a single channel. A pattern was identified when using the multiresolution analysis with a biortogonal wavelet after processing and analyzing with the Matlab Wavelet Toolbox, 207 tips records and 132 records of devices previously classified by the neurophysiologist. This pattern allowed us to design an algorithm for the detection of tips in patients with refractory episodes of the temporal lobe, based on the maximum voltages at each of the six reconstruction levels using the biortogonal wavelet 3.7. The algorithm was applied to over-records of patients with epilepsy, obtaining a sensitivity of 92% and a specificity of 80% in the diagnosis of epileptic tips. |
| publishDate |
2009 |
| dc.date.issued.none.fl_str_mv |
2009-06-01 |
| dc.date.available.none.fl_str_mv |
2019-11-22T19:06:23Z |
| dc.date.accessioned.none.fl_str_mv |
2019-11-22T19:06:23Z |
| dc.date.none.fl_str_mv |
2009-06-01 |
| dc.type.eng.fl_str_mv |
article info:eu-repo/semantics/article publishedVersion info:eu-repo/semantics/publishedVersion |
| dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.local.spa.fl_str_mv |
Artículo |
| status_str |
publishedVersion |
| dc.identifier.issn.none.fl_str_mv |
2256-4314 1794-9165 |
| dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10784/14514 |
| identifier_str_mv |
2256-4314 1794-9165 |
| url |
http://hdl.handle.net/10784/14514 |
| dc.language.iso.spa.fl_str_mv |
spa |
| language |
spa |
| dc.relation.isversionof.none.fl_str_mv |
http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/471 |
| dc.relation.uri.none.fl_str_mv |
http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/471 |
| dc.rights.eng.fl_str_mv |
Copyright (c) 2008 Nelson Eduardo Castaño, José Fernando Zapata, Jairo Villegas G. |
| dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| dc.rights.local.spa.fl_str_mv |
Acceso abierto |
| rights_invalid_str_mv |
Copyright (c) 2008 Nelson Eduardo Castaño, José Fernando Zapata, Jairo Villegas G. Acceso abierto http://purl.org/coar/access_right/c_abf2 |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.coverage.spatial.eng.fl_str_mv |
Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees |
| dc.publisher.spa.fl_str_mv |
Universidad EAFIT |
| dc.source.none.fl_str_mv |
instname:Universidad EAFIT reponame:Repositorio Institucional Universidad EAFIT |
| dc.source.spa.fl_str_mv |
Ingeniería y Ciencia; Vol 5, No 9 (2009) |
| instname_str |
Universidad EAFIT |
| institution |
Universidad EAFIT |
| reponame_str |
Repositorio Institucional Universidad EAFIT |
| collection |
Repositorio Institucional Universidad EAFIT |
| bitstream.url.fl_str_mv |
https://repository.eafit.edu.co/bitstreams/b4ff7421-d91d-4b92-850f-15e0f0b56b1b/download https://repository.eafit.edu.co/bitstreams/813013bd-ed74-477d-802e-33cddb3c5b61/download https://repository.eafit.edu.co/bitstreams/37124864-41c3-4338-94dc-3d0f82e2e5ef/download |
| bitstream.checksum.fl_str_mv |
da9b21a5c7e00c7f1127cef8e97035e0 168b451e4402fb974ca3cd911a9f86e7 21ed9bbe25b714d445e493a43066d23a |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositorio Institucional Universidad EAFIT |
| repository.mail.fl_str_mv |
repositorio@eafit.edu.co |
| _version_ |
1808498901674622976 |