Independent component extraction methods in biosignal processing

Author

Bigan, C. ; Woolfson, M.

Author_Institution

Bucharest Echological Univ., Romania

Volume

1

fYear

2004

fDate

1-5 Sept. 2004

Firstpage

511

Lastpage

513

Abstract

The paper discusses methods for independent source identification within multiple channels electroencephalographical (EEG) signals recordings. The focus is to compare the independent component analysis (ICA) technique to a novel proposed method for individual components separation - the phase space method (PSM). Methods are suitable to be used for any multi-lead signal especially within biomedical signals processing area where independence is a key issue.

Keywords

electroencephalography; independent component analysis; medical signal processing; phase space methods; biosignal processing; independent component analysis; independent component extraction methods; independent source identification; individual components separation; multiple channels electroencephalographical signals; phase space method; Biomedical signal processing; Data mining; Disk recording; Electroencephalography; Independent component analysis; Mutual information; Phase detection; Principal component analysis; Signal processing; Statistical analysis; EEG signals; independent component; phase space;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-8439-3

Type

conf

DOI

10.1109/IEMBS.2004.1403206

Filename

1403206