Title :
A beamforming particle filter for EEG dipole source localization
Author :
Mohseni, Hamid R. ; Ghaderi, Foad ; Wilding, Edward E. ; Sanei, Saeid
Author_Institution :
Schools of Eng. & Psychol., Cardiff Univ., Cardiff
Abstract :
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.
Keywords :
array signal processing; electroencephalography; interference suppression; medical signal processing; particle filtering (numerical methods); EEG dipole source localization; beamforming particle filtering; electroencephalogram; noise elimination; optimum linear data independent filter; Array signal processing; Brain modeling; Electroencephalography; Filtering; Head; Magnetic resonance imaging; Multiple signal classification; Particle filters; Psychology; Spatial resolution; Beamforming; EEG; dipole source localization; particle filter;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4959589
