A beamforming particle filter for EEG dipole source localization

Authors:
Hamid R. Mohseni;Foad Ghaderi;Edward E. Wilding;Saeid Sanei
Affiliations:
Schools of Engineering and Psychology, Cardiff University, Wales, UK;Schools of Engineering and Psychology, Cardiff University, Wales, UK;Schools of Engineering and Psychology, Cardiff University, Wales, UK;Schools of Engineering and Psychology, Cardiff University, Wales, UK
Venue:
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Year:
2009

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Cited 1

Multi-source Neural Activity Estimation and Sensor Scheduling: Algorithms and Hardware Implementation

Journal of Signal Processing Systems

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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.