Title :
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
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;
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2008.4633788
