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1D-local binary pattern based feature extraction for classification of epileptic EEG signals

Applied Mathematics and Computation · 2014 · Vol. 243 · pp. 209–219
Yılmaz KayaMurat UyarRamazan Teki̇nSelçuk Yıldırım
EEG and Brain-Computer InterfacesBlind Source Separation TechniquesNeural Networks and ApplicationsPattern recognition (psychology)ElectroencephalographyFeature extractionArtificial intelligenceComputer scienceLocal binary patternsBinary classificationClassifier (UML)Binary numberFeature (linguistics)

Funding

  • Rheinische Friedrich-Wilhelms-Universität Bonn
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