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...

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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.
Description
Summary: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.