Automatic Removal of Sparse Artifacts in Electroencephalogram

0353289 - ÚTIA 2011 CZ eng V - Research Report
Zima, Miroslav - Tichavský, Petr - Krajča, V.
Automatic Removal of Sparse Artifacts in Electroencephalogram.
Praha: ÚTIA AV ČR, 2010. 19 s. Research Report, 2289.
R&D Projects: GA MŠMT 1M0572; GA ČR GA102/09/1278
Institutional research plan: CEZ:AV0Z10750506
Keywords : electroencephalogram * independent component analysis * artifact removal * wavelet denoising
Subject RIV: BB - Applied Statistics, Operational Research
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.
Permanent Link: http://hdl.handle.net/11104/0192576