DocumentCode :
2367875
Title :
A fast algorithm for blind extraction of smooth complex sources with application in EEG conditioning
Author :
Javidi, Soroush ; Mandic, Danilo P.
Author_Institution :
Dept. of Electr. & Electron. Eng., Imperial Coll., London, UK
fYear :
2010
fDate :
Aug. 29 2010-Sept. 1 2010
Firstpage :
397
Lastpage :
402
Abstract :
A fast complex-valued blind source extraction algorithm designed for the extraction of smooth sources, is introduced. This is achieved based on a smoothness constrained cost and by considering the augmented statistics of the latent source signals. The methodology, based on the CR calculus and complex FastICA framework, is shown to be capable of extraction of both complex circular and noncircular smooth sources for real-time brain computer interfacing. The performance of the algorithm is verified on benchmark signals, followed by a biomedical application in the extraction of artifacts from recorded EEG signals in the order of smoothness.
Keywords :
blind source separation; brain-computer interfaces; electroencephalography; independent component analysis; CR calculus; EEG conditioning; complex FastICA framework; complex-valued blind source extraction algorithm; latent source signals; real-time brain computer interfacing; smooth complex sources; Brain modeling; Electroencephalography; Electromyography; Electrooculography; Noise; Optimization; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning for Signal Processing (MLSP), 2010 IEEE International Workshop on
Conference_Location :
Kittila
ISSN :
1551-2541
Print_ISBN :
978-1-4244-7875-0
Electronic_ISBN :
1551-2541
Type :
conf
DOI :
10.1109/MLSP.2010.5588932
Filename :
5588932
Link To Document :
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