Regularized FOCUSS algorithm for EEG/MEG source imaging

被引：0
|
作者：
Han, J [1 ]
Park, KS [1 ]
机构：
[1] Seoul Natl Univ, Interdisciplinary Program Biomed Engn, Seoul, South Korea
来源：
PROCEEDINGS OF THE 26TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7 | 2004年 / 26卷
关键词：
dipole; electroencephalography; inverse problem; sparse; regularization;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, we derived a generalized version of the regularized FOCUSS algorithm which was derived in [3]. It allows general forms of noise covariance and reduces depth effect when imaging focal neural sources from electroencephalography (EEG) / magnetoencephalography (MEG) data. We compared a depth-weighted regularized algorithm with FOCUSS and a regularized FOCUSS through simulation study. The suggested algorithm gave sparser and less spurious solutions than the others.
引用
收藏
页码：122 / 124
页数：3
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