EEG source localization for two dipoles by neural networks

Author

Yuasa, Motohiro ; Zhang, Qinyu ; Nagashino, Hirofumi ; Kinouchi, Yohsuke

Author_Institution

Dept. of Electr. & Electron. Eng., Tokushima Univ., Japan

Volume

4

fYear

1998

fDate

29 Oct-1 Nov 1998

Firstpage

2190

Abstract

It is reported that neural networks are useful for solving physiological inverse problems such as EEG and MEG source localizations, where a single dipole source is localized in terms of position and direction. This method is developed here to localize two independent sources from EEG. To improve localization accuracy, 36 electrodes for EEG measurement are used and two dipole sources are assumed to be in each restricted region of the brain. As a result, localization accuracy has been about 3 to 9% depending on the region restrictions, which may be useful for real time epileptic diagnoses

Keywords

biomedical electrodes; electroencephalography; inverse problems; medical signal processing; neural nets; EEG measurement; EEG source localization; MEG source localizations; brain; direction; electrodes; independent sources; localization accuracy; neural networks; physiological inverse problems; position; real time epileptic diagnoses; restricted region; single dipole source; Biological neural networks; Brain modeling; Electrodes; Electroencephalography; Epilepsy; Head; Inverse problems; Medical diagnosis; Neural networks; Scalp;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE

Conference_Location

Hong Kong

ISSN

1094-687X

Print_ISBN

0-7803-5164-9

Type

conf

DOI

10.1109/IEMBS.1998.747045

Filename

747045