EEG Source Localization Using the Inverse Problem Methods

被引：0

作者：

Khemakhem, Rafik ^{[1
]}

Zouch, Wassim ^{[1
]}

Ben Hamida, Ahmed ^{[1
]}

Taleb-Ahmed, Abdelmalik ^{[2
]}

Feki, Imed ^{[3
]}

机构：

[1] ENIS, Traitement Informat & Elect Med, Sfax 3038, Tunisia

[2] Univ Valenciennes, Lab LAMIH UMR CNRS UVHC 8530, F-59300 Famars, France

[3] Ctr Hosp Reg Univ Sfax, Serv Neurol Clin, Sfax 3029, Tunisia

来源：

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2009年 / 9卷 / 04期

关键词：

EEG; Inverse Problem; Localization; sLORETA-FOCUSS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An Electroencephalography (EEG) inverse solution technique can be seen as a way to add spatial information to extra-cranial measurements. In other words, it is a mathematical/physical way to expand the dimensionality of scalp measurements so as to embed intra-cranial spatial information. This paper presents the new sLORETA-FOCUSS approach estimating the current density distribution in the brain. A comparative study of the sLORETA, FOCUSS, sLORETA-FOCUSS and its recursive version is also performed using the ROC curve analysis. The results demonstrate that the recursive sLORETA-FOCUSS method gives good solutions in terms of localization error, simulation time, and reconstruction precision in 3D.

引用

页码：408 / 415

页数：8

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