Title :
Independent component extraction methods in biosignal processing
Author :
Bigan, C. ; Woolfson, M.
Author_Institution :
Bucharest Echological Univ., Romania
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;
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
DOI :
10.1109/IEMBS.2004.1403206
