Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform

DOI10.1016/J.AMC.2006.09.022zbMath1112.92037OpenAlexW2021970732MaRDI QIDQ883913

Salih Güneş, Kemal Polat

Publication date: 12 June 2007

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2006.09.022

zbMATH Keywords

FFTelectroencephalogram (EEG)\(k\)-fold cross-validationdecision tree classifierepileptic seizure

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Medical applications (general) (92C50) Numerical methods for discrete and fast Fourier transforms (65T50)

Related Items (4)

1D-local binary pattern based feature extraction for classification of epileptic EEG signals ⋮ Epilepsy detection in EEG using Grassmann discriminant analysis method ⋮ Automated Identification of Epileptic Seizures from EEG Signals Using FBSE-EWT Method ⋮ Classifying the Epilepsy EEG Signal by Hybrid Model of CSHMM on the Basis of Clinical Features of Interictal Epileptiform Discharges

Cites Work

• Unnamed Item
• Classification of EEG signals using the wavelet transform.
• Chaos in neurobiology

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