Application of neural networks to brain dynamics identification by EEG

Author

Nagashino, H. ; Kawano, T. ; Akutagawa, M. ; Zhang, Q. ; Kinouchi, Y. ; Shichijo, F. ; Nagahiro, S.

Author_Institution

Sch. of Health Sci., Tokushima Univ., Japan

Volume

1

fYear

2002

fDate

2-5 Dec. 2002

Firstpage

554

Abstract

We have constructed a multilayered neural network system that identifies brain dynamics from electroencephalogram (EEG) data by error backpropagation (BP) learning. EEG data in the rest state with closed eyes and open eyes are measured with electrodes that are placed by the international 10-20 system. The brain dynamics are embedded in the neural networks. The developed system discriminates the dynamics of the brain dynamics of the brain activities associated with open eyes from those with closed eyes.

Keywords

backpropagation; dynamics; electroencephalography; errors; medical signal detection; neural nets; vectors; EEG data; brain dynamics identification; coupling weight vectors; electroencephalogram data; error backpropagation learning; international 10-20 system; neural networks; rest state; Biological neural networks; Biomedical electrodes; Brain; Data engineering; Data mining; Electroencephalography; Eyes; Multi-layer neural network; Neural networks; Nonlinear dynamical systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Robotics and Vision, 2002. ICARCV 2002. 7th International Conference on

Print_ISBN

981-04-8364-3

Type

conf

DOI

10.1109/ICARCV.2002.1234885

Filename

1234885