Feature extraction from EEG signals in P300 spelling system

Author

Omori, Kana ; Yamaguchi, Tomonari ; Inoue, Katsuhiro

Author_Institution

Dept. of Syst. Innovation & Inf., Grad. Sch. of Comput. Sci. & Technol., Japan

fYear

2009

fDate

18-21 Aug. 2009

Firstpage

849

Lastpage

852

Abstract

Recently, there are many studies on brain computer interface (BCI) system and some use EEG response at oddball paradigms. The aim of this paper is to extract feature (i.e. P300 response) from the EEG signals to improve the spelling system. We propose the method to analyze the averaged EEG signal concerned time and spatial. It is confirmed that the processing period with feature extraction is able to be shortened by averaging multi-channels. Effective information is obtained from the EEG signal near of the center part.

Keywords

brain-computer interfaces; electroencephalography; feature extraction; handicapped aids; medical signal processing; BCI system; EEG signal; P300 spelling system; brain computer interface system; communication multichannel; electroencephalogram; feature extraction; handicapped user; oddball paradigm; Brain computer interfaces; Computer science; Data mining; Electroencephalography; Enterprise resource planning; Feature extraction; Informatics; Pattern recognition; Scalp; Technological innovation; EEG; P300; brain computer interface; spelling device;

fLanguage

English

Publisher

ieee

Conference_Titel

ICCAS-SICE, 2009

Conference_Location

Fukuoka

Print_ISBN

978-4-907764-34-0

Electronic_ISBN

978-4-907764-33-3

Type

conf

Filename

5332899