Original title: Automatic Removal of Sparse Artifacts in Electroencephalogram
Authors: Zima, Miroslav ; Tichavský, Petr ; Krajča, V.
Document type: Research reports
Year: 2010
Language: eng
Series: Research Report , volume: 2289
Abstract: 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.
Keywords: artifact removal; electroencephalogram; independent component analysis; wavelet denoising
Project no.: CEZ:AV0Z10750506 (CEP), 1M0572 (CEP), GA102/09/1278 (CEP)
Funding provider: GA MŠk, GA ČR

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: http://library.utia.cas.cz/separaty/2010/SI/tichavsky-automatic removal of sparse artifacts in electroencephalogram.pdf
Original record: http://hdl.handle.net/11104/0192576

Permalink: http://www.nusl.cz/ntk/nusl-42312


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