Automatic epilepsy detection using fractal dimensions segmentation and GP–SVM classification

Jakub Jirka1 Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB – Technical University of Ostrava, Ostrava Poruba, Czech Republic

Michal Prauzek1 Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB – Technical University of Ostrava, Ostrava Poruba, Czech Republic

Ondrej Krejcar2 Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czech Republic, [email protected]

Kamil Kuca2 Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czech Republic, [email protected];3 Biomedical Research Center, University Hospital Hradec Kralove, Hradec Kralove, Czech Republic, [email protected]Correspondence[email protected]

Automatic epilepsy detection using fractal dimensions segmentation and GP–SVM classification

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Automatic epilepsy detection using fractal dimensions segmentation and GP–SVM classification

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