Systematic Identification for Inert Region Of a Brain from EEG

Author

Katayama, M. ; Akutagawa, M. ; Nagashino, H. ; Kinouchi, Y. ; Shichijo, F.

Author_Institution

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

fYear

2006

Firstpage

4693

Lastpage

4696

Abstract

Evaluation of biomedical signals is important in the diagnosis of neurology diseases, such as dementia, in neurology through the use of electroencephalograms (EEG). While automated techniques exist for EEG analysis, it is likely that additional information can be extracted from EEG signal through the use of new methods. We describe a method for identifying inert region from EEG. This method uses EEG as input to an artificial neural network with five outputs: activity in whole region and inert region separated by four regions

Keywords

diseases; electroencephalography; medical signal processing; neural nets; patient diagnosis; EEG; artificial neural network; biomedical signals; brain; dementia; electroencephalograms; neurology disease diagnosis; systematic inert region identification; Biological neural networks; Brain modeling; Conducting materials; Electrodes; Electroencephalography; Inverse problems; Nervous system; Positron emission tomography; Signal analysis; Signal processing; electroencephalogram; inert region; neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Conference_Location

Shanghai

Print_ISBN

0-7803-8741-4

Type

conf

DOI

10.1109/IEMBS.2005.1615518

Filename

1615518