Multi-source localization by genetic algorithm using MEG

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

doi:10.1109/20.717694

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

先進理工学部

研究成果: Article › 査読

19 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
巻	34
号	5 PART 1
DOI	https://doi.org/10.1109/20.717694
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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10.1109/20.717694

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T1 - Multi-source localization by genetic algorithm using MEG

AU - Nagano, Takahiro

AU - Ohno, Yusuke

AU - Uesugi, Naoto

AU - Ikeda, Hitoshi

AU - Ishiyama, Atsushi

AU - Kasai, Naoko

PY - 1998

Y1 - 1998

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AB - 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.

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JO - IEEE Transactions on Magnetics

JF - IEEE Transactions on Magnetics

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Multi-source localization by genetic algorithm using MEG

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