A BEAMFORMING PARTICLE FILTER FOR EEG DIPOLE SOURCE LOCALIZATION

Mohseni, HR, Ghaderi, F, Wilding, EE and Sanei, S (2009) A BEAMFORMING PARTICLE FILTER FOR EEG DIPOLE SOURCE LOCALIZATION In: IEEE International Conference on Acoustics, Speech and Signal Processing, 2009-04-19 - 2009-04-24, Taipei, TAIWAN.

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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. ©2009 IEEE.

Item Type:	Conference or Workshop Item (Conference Paper)
Divisions :	Faculty of Engineering and Physical Sciences > Computing Science
Authors :	Name Email ORCID Mohseni, HR Ghaderi, F Wilding, EE Sanei, S
Date :	1 January 2009
DOI :	10.1109/ICASSP.2009.4959589
Contributors :	Contribution Name Email ORCID http://www.loc.gov/loc.terms/relators/PBL IEEE,
Uncontrolled Keywords :	Science & Technology, Technology, Acoustics, Engineering, Electrical & Electronic, Engineering, Beamforming, dipole source localization, EEG, particle filter
Related URLs :	Author
Additional Information :	© 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User :	Symplectic Elements
Date Deposited :	14 Jan 2013 11:30
Last Modified :	31 Oct 2017 14:55
URI:	http://epubs.surrey.ac.uk/id/eprint/742952

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