Locating Information Maximization Time in EEG Signals Recorded During Mental Tasks

Author

Abdollahi, F. ; Setarehdan, S.K. ; Nasrabadi, A.M.

Author_Institution

Univ. of Tehran, Tehran

fYear

2007

fDate

27-29 Sept. 2007

Firstpage

238

Lastpage

241

Abstract

Brain-Computer interfacing systems require online processing of electroencephalogram (EEG) signals. Therefore, high speed signal processing is of great importance in BCI systems. In this study, we suggest and calculate a time pattern for information variations within the EEG signal recorded during mental tasks. Therefore, it is possible to limit the length of the EEG signal from beginning up to the information maximization point, hence reducing the processing time. In this work Wavelet entropy is employed for information content evaluation of the EEG signal.

Keywords

electroencephalography; entropy; medical signal processing; user interfaces; wavelet transforms; BCI system; EEG signal; brain-computer interfacing system; electroencephalogram; information content evaluation; information maximization time; mental task; online EEG signal processing; wavelet entropy; Biomedical engineering; Control systems; Data mining; Electroencephalography; Electrooculography; Entropy; Intelligent control; Process control; Signal analysis; Signal processing; Brain-Computer interface (BCI); Electroencephalogram (EEG); Mental tasks; Wavelet Entropy;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing and Analysis, 2007. ISPA 2007. 5th International Symposium on

Conference_Location

Istanbul

ISSN

1845-5921

Print_ISBN

978-953-184-116-0

Type

conf

DOI

10.1109/ISPA.2007.4383697

Filename

4383697