DocumentCode :
2580700
Title :
Blind source separation of EEG data using matched filters
Author :
Köhler, Bert-Uwe ; Orglmeister, Reinhold ; Brehmeier-Flick, Bernd
Author_Institution :
Inst. of Electron., Tech. Univ. Berlin, Germany
Volume :
4
fYear :
1998
fDate :
29 Oct-1 Nov 1998
Firstpage :
2038
Abstract :
In this paper a new method for blind source separation of electroencephalographic (EEG) signals is proposed. In contrast to most blind source separation algorithms, our method does not employ higher order statistics. It is shown that in case of EEG signals matched filters can successfully be applied to achieve an excellent signal separation. The proposed algorithm is verified on simulated as well as on real EEG data. Due to the strong prior on the sources introduced by the matched filters, at first glance the application of our algorithm appears to be restricted to EEG data. However, by using different matched filters our method is extendible to any kind of non-white signal. Since the computations are based on second order statistics and the matched filters can be arranged in a parallel structure our algorithm is extremely fast and therefore suitable for on-line applications
Keywords :
correlation methods; covariance matrices; deconvolution; eigenvalues and eigenfunctions; electroencephalography; filtering theory; matched filters; medical signal processing; signal sampling; transient response; EEG data; blind source separation; fast algorithm; independent component analysis; joint diagonalisation; linear operators; low computational load; matched filters; non-white signals; on-line applications; second order statistics; signal separation; strong prior; time correlated data; Blind source separation; Brain modeling; Concurrent computing; Electroencephalography; Graphics; Higher order statistics; Independent component analysis; Matched filters; Signal processing algorithms; Tin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
ISSN :
1094-687X
Print_ISBN :
0-7803-5164-9
Type :
conf
DOI :
10.1109/IEMBS.1998.747006
Filename :
747006
Link To Document :
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