Multi-source localization by genetic algorithm using MEG

Takahiro Nagano, Yusuke Ohno, Naoto Uesugi, Hitoshi Ikeda, Atsushi Ishiyama, Naoko Kasai

研究成果: Article

15 引用 (Scopus)

抜粋

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 1cm.

元の言語English
ページ(範囲)2972-2975
ページ数4
ジャーナルIEEE Transactions on Magnetics
34
発行部数5 PART 1
DOI
出版物ステータスPublished - 1998 12 1

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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  • これを引用

    Nagano, T., Ohno, Y., Uesugi, N., Ikeda, H., Ishiyama, A., & Kasai, N. (1998). Multi-source localization by genetic algorithm using MEG. IEEE Transactions on Magnetics, 34(5 PART 1), 2972-2975. https://doi.org/10.1109/20.717694