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Automatic Removal of Sparse Artifacts in Electroencephalogram
- 1.0356355 - ÚTIA 2011 RIV PT eng C - Conference Paper (international conference)
Tichavský, Petr - Zima, Miroslav - Krajča, V.
Automatic Removal of Sparse Artifacts in Electroencephalogram.
Proceedings of the Third International Conference on Bio-Inspired Systems and Signal Processing, Biosignals 2011. Lisabon: SciTePress, 2011, s. 530-535. ISBN 978-989-8425-35-5.
[Biosignals, Int. Conf. on Bio-inspired Systems and Signal Processing. Rome (IT), 26.02.2011-29.01.2011]
R&D Projects: GA MŠMT 1M0572; GA ČR GA102/09/1278
Institutional research plan: CEZ:AV0Z10750506
Keywords : electroencephalogram * artifact removal * independent component analysis
Subject RIV: FH - Neurology
http://library.utia.cas.cz/separaty/2011/SI/tichavsky-automatic removal of sparse artifacts in electroencephalogram.pdf
In this paper we propose a method to identify and remove artifacts, that have a relatively short duration, from complex EEG data. The method is based on the application of an ICA algorithm to three non-overlapping partitions of a given data, selection of sparse independent components, removal of the component, and the combination of three resultant signal reconstructions in one final reconstruction. The method can be further enhanced by applying wavelet de-noising of the separated artifact components.
Permanent Link: http://hdl.handle.net/11104/0194897
Number of the records: 1