Single-class SVM classifier for localization of epileptic focus on the basis of EEG

Author

Swiderski, B. ; Osowski, S. ; Cichocki, A. ; Rysz, A.

Author_Institution

Inst. of Biocybernetics & Biomed. Eng., Polish Acad. of Sci., Warsaw

fYear

2008

fDate

1-8 June 2008

Firstpage

189

Lastpage

194

Abstract

The paper presents the application of a single-class Support Vector Machine (SVM) for localization of the focus region at the epileptic seizure on the basis of EEG registration. The diagnostic features used in recognition are derived from the directed transfer function description, determined for different ranges of EEG signals. The results of the performed numerical experiments for the localization of the seizure focus in the brain have been confirmed by the real surgery of the brain for few patients.

Keywords

brain; electroencephalography; medical signal processing; support vector machines; surgery; EEG registration; EEG signals; SVM; directed transfer function description; epileptic focus localization; real brain surgery; single-class support vector machine classifier; Biomedical electrodes; Brain modeling; Covariance matrix; Electroencephalography; Epilepsy; Medical diagnostic imaging; Neurosurgery; Support vector machine classification; Support vector machines; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on

Conference_Location

Hong Kong

ISSN

1098-7576

Print_ISBN

978-1-4244-1820-6

Electronic_ISBN

1098-7576

Type

conf

DOI

10.1109/IJCNN.2008.4633788

Filename

4633788