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MEMBERS OF RESEARCH CENTER
Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Publications
Automatic Removal of Sparse Artifacts in Electroencephalogram
Typ:
Research report
Authors:
Zima M., Tichavský P., Krajča V.
Name of edition:
Research Report
Article number:
2289
Publisher:
ÚTIA AV ČR
Serie:
Praha
Year:
2010
Keywords:
electroencephalogram, independent component analysis, artifa
Anotation:
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.