Single dipole source localization from conventional EEG using BP neural networks

Author

Zhang, Qinyu ; Yuasa, Motohiro ; 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

2163

Abstract

Brain source localization is an important inverse problem for brain diagnosis and functional analysis. The usefulness of BPNN (back propagation neural network) to solve this problem has been reported. The purpose of the study is to examine the practical effectiveness of NN for single dipole source localization from EEG based on conventional 18 electrodes of a 10-20 system, and to investigate estimation accuracy in relation to EEG references, dipole positions and network training

Keywords

electroencephalography; functional analysis; inverse problems; medical diagnostic computing; medical signal processing; neural nets; patient diagnosis; EEG references; back propagation neural network; brain diagnosis; brain source localization; conventional 18 electrodes; conventional EEG; dipole positions; estimation accuracy; functional analysis; inverse problem; network training; single dipole source localization; Biological neural networks; Brain modeling; Electrodes; Electroencephalography; Functional analysis; Inverse problems; Minimization methods; Neural networks; Power system modeling; Training data;

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.1998.747038

Filename

747038