A BEAMFORMING PARTICLE FILTER FOR EEG DIPOLE SOURCE LOCALIZATION

被引：6
|
作者：
Mohseni, Hamid R. [1 ,2 ]
Ghaderi, Foad [1 ,2 ]
Wilding, Edward E. [1 ,2 ]
Sanei, Saeid [1 ,2 ]
机构：
[1] Cardiff Univ, Sch Engn, Cardiff, S Glam, Wales
[2] Cardiff Univ, Sch Psychol, Cardiff, S Glam, Wales
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS | 2009年
关键词：
Beamforming; dipole source localization; EEG; particle filter;
D O I：
10.1109/ICASSP.2009.4959589
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
Recently we have developed a method for electroencephalogram (EEG) dipole source localization based on particle filtering (PF). In this study the method is combined with beamforming to eliminate the noise which is spatially uncorrelated with the desired signal and accordingly to improve its performance. The proposed beamforming is an optimum, linear and data independent filter which can be applied to stationary as well as non-stationary data. Simulation and real data results have been provided to show its better performance over PF and beamforming approaches for dipole source localization.
引用
收藏
页码：337 / +
页数：2
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