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- W2039294714 abstract "The multi-dipole EEG source localization problem is (usually) highly nonlinear with a non-convex cost function. Moreover, the gray matter tissue is located in several disjunct regions in the head which leads to a non-continuous solution space. For solving this problem an efficient algorithm which can handle multi-source activities is needed. In this paper, a modified particle swarm optimization (MPSO) method is proposed to solve the multi-dipole EEG source localization. The method is tested on synthetic EEG signals generated from two strong active sources and a noisy background source. The results show that using the new method is a reliable choice when we deal with a strong multi-active source scenario, in which a single dipole source localization may fail." @default.
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- W2039294714 date "2013-07-01" @default.
- W2039294714 modified "2023-09-25" @default.
- W2039294714 title "Multi-dipole EEG source localization using particle swarm optimization" @default.
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- W2039294714 doi "https://doi.org/10.1109/embc.2013.6611008" @default.
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