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Multi-source localization by genetic algorithm using MEG

by: T Nagano, Y Ohno, N Uesugi, H Ikeda, A Ishiyama, N Kasai
Magnetics, IEEE Transactions on, Vol. 34, No. 5. (1998), pp. 2976-2979.


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We developed a method to estimate multi-dipole sources in human brain by using Genetic Algorithm for source localization of the olfactory magnetoencephalography (MEG). Two current dipoles in each hemisphere of the brain are supposed as a source model. To investigate the ability of this method, source localization in simulation was performed by the presented method. As a result, if the noise level is restricted under 2 percent (S/N≈20), the source localization of the simulation was obtained with the error less than 1 cm


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