Automatic Removal of Sparse Artifacts in Electroencephalogram

0353289 - ÚTIA 2011 CZ eng V - Výzkumná zpráva
Zima, Miroslav - Tichavský, Petr - Krajča, V.
Automatic Removal of Sparse Artifacts in Electroencephalogram.
Praha: ÚTIA AV ČR, 2010. 19 s. Research Report, 2289.
Grant CEP: GA MŠMT 1M0572; GA ČR GA102/09/1278
Výzkumný záměr: CEZ:AV0Z10750506
Klíčová slova: electroencephalogram * independent component analysis * artifact removal * wavelet denoising
Kód oboru RIV: BB - Aplikovaná statistika, operační výzkum
http://library.utia.cas.cz/separaty/2010/SI/tichavsky-automatic removal of sparse artifacts in electroencephalogram.pdf

This report presents an algorithm for removing artifacts from EEG signal, which is based on the method of independent component analysis utilizing the signal nonstationarity or sparsity of the artifacts. The algorithm is computationally very fast, enables online processing of long data records with excellent separation accuracy. The algorithm also incorporates using wavelet denoising of the artifact components, recently proposed by Castellanos and Makarov, which reduces distortion of the cleaned data.
Trvalý link: http://hdl.handle.net/11104/0192576