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Sequential Monte Carlo techniques for Eeg dipole placing and tracking

Mohseni, Hamid Reza, Wilding, Edward Lewis and Sanei, Saeid 2008. Sequential Monte Carlo techniques for Eeg dipole placing and tracking. Presented at: 5th IEEE Sensor Array and Multichannel Signal Processing Workshop, Darmstadt, Germany, 21-23 July 2008. Sensor Array and Multichannel Signal Processing Workshop, 2008. Institute of Electrical and Electronic Engineers, pp. 95-98. 10.1109/SAM.2008.4606832

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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.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Psychology
Engineering
Publisher: Institute of Electrical and Electronic Engineers
ISBN: 9781424422401
Last Modified: 17 Jun 2017 02:33
URI: http://orca.cf.ac.uk/id/eprint/5616

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