One Dimensional Median Local Binary Pattern Based Feature Extraction For Classifying Epileptic EEG Signals

One Dimensional Median Local Binary Pattern Based Feature Extraction For Classifying Epileptic EEG Signals

Electroencephalogram is an important data source that widely used in detecting epilepsy. In this study, EEG records consisting of five markers A, B, C, D, E that obtained from the database of Epilogy of Bonn University Epileptology Department was used. The feature vectors that obtained by applying...

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Bibliographic Details
Main Authors: Ömer Türk, Mehmet Siraç Özerdem
Format: Article
Language:English
Published: Gazi University 2017-09-01
Series:Gazi Üniversitesi Fen Bilimleri Dergisi
Subjects:
Epilepsy Detection
k-NN
One Dimension Median Local Binary Pattern
Online Access:http://dergipark.gov.tr/download/article-file/341533

Internet

http://dergipark.gov.tr/download/article-file/341533

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