DocumentCode
1429354
Title
Multi-source localization by genetic algorithm using MEG
Author
Nagano, Takahiro ; Ohno, Yusuke ; Uesugi, Naoto ; Ikeda, Hitoshi ; Ishiyama, Atsushi ; Kasai, Naoko
Author_Institution
Dept. of Electr. Electron. & Comput. Eng., Waseda Univ., Tokyo, Japan
Volume
34
Issue
5
fYear
1998
fDate
9/1/1998 12:00:00 AM
Firstpage
2976
Lastpage
2979
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 1 cm
Keywords
genetic algorithms; magnetoencephalography; MEG; current dipole; genetic algorithm; human brain; multi-source localization; olfactory magnetoencephalography; simulation; Brain modeling; Coils; Density measurement; Genetic algorithms; Laboratories; Magnetic field measurement; Magnetic fields; Magnetic flux density; Olfactory; SQUIDs;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/20.717695
Filename
717695
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