Single-Class SVM Classifier for Localization of Epileptic Focus on the Basis of EEG

被引：2

作者：

Swiderski, B. ^{[1
]}

Osowski, S. ^{[2
,3
]}

Cichocki, A. ^{[4
]}

Rysz, A. ^{[5
]}

机构：

[1] Polish Acad Sci, Inst Biocybernet & Biomed Engn, Warsaw, Poland

[2] Warsaw Univ Technol, Warsaw, Poland

[3] Military Univ Technol, Warsaw, Poland

[4] RIKEN, Inst Brain Sci Inst, Saitama, Japan

[5] Med Univ Warsaw, Warsaw, Poland

来源：

2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8 | 2008年

关键词：

D O I：

10.1109/IJCNN.2008.4633788

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：189 / 194

页数：6

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