Title :
Sequential monte carlo techniques for EEG dipole placing and tracking
Author :
Mohseni, Hamid R. ; Wilding, Edward L. ; Sanei, Saeid
Author_Institution :
Sch. of Eng. & Psychol., Cardiff Univ., Cardiff
Abstract :
In this summary a method based on sequential Monte Carlo (SMC) techniques for EEG dipole source localization and tracking, in which a real head model is taken into account, is presented. The localization problem is formulated in the state space and the SMC method, which is a recursive non-Gaussian Bayesian solution, is employed. The method was applied to simulated and real data to show its potential in dipole source placing and tracking.
Keywords :
Gaussian processes; Monte Carlo methods; belief networks; electroencephalography; recursive estimation; EEG dipole source localization; dipole placing; dipole tracking; recursive nonGaussian Bayesian solution; sequential Monte Carlo techniques; Brain modeling; Electroencephalography; Filtering; Inverse problems; Monte Carlo methods; Multiple signal classification; Psychology; Signal to noise ratio; Sliding mode control; State-space methods;
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop, 2008. SAM 2008. 5th IEEE
Conference_Location :
Darmstadt
Print_ISBN :
978-1-4244-2240-1
Electronic_ISBN :
978-1-4244-2241-8
DOI :
10.1109/SAM.2008.4606832
