Multi-source localization by genetic algorithm using MEG

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

*この研究の対応する著者

研究成果: Article査読

16 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)2972-2975
ページ数4
ジャーナルIEEE Transactions on Magnetics
34
5 PART 1
DOI
出版ステータスPublished - 1998

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 電子工学および電気工学

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