Multi-source localization by genetic algorithm using MEG

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

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)2972-2975
Number of pages4
JournalIEEE Transactions on Magnetics
Volume34
Issue number5 PART 1
DOIs
Publication statusPublished - 1998 Dec 1

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Multi-source localization by genetic algorithm using MEG'. Together they form a unique fingerprint.

  • Cite this

    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