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Automatic Removal of Sparse Artifacts in Electroencephalogram
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SYSNO ASEP 0356355 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Automatic Removal of Sparse Artifacts in Electroencephalogram Author(s) Tichavský, Petr (UTIA-B) RID, ORCID
Zima, Miroslav (UTIA-B)
Krajča, V. (CZ)Source Title Proceedings of the Third International Conference on Bio-Inspired Systems and Signal Processing, Biosignals 2011. - Lisabon : SciTePress, 2011 - ISBN 978-989-8425-35-5 Pages s. 530-535 Number of pages 6 s. Publication form DVD - DVD Action Biosignals, Int. Conf. on Bio-inspired Systems and Signal Processing Event date 26.02.2011-29.01.2011 VEvent location Rome Country IT - Italy Event type WRD Language eng - English Country PT - Portugal Keywords electroencephalogram ; artifact removal ; independent component analysis Subject RIV FH - Neurology R&D Projects 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GA102/09/1278 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10750506 - UTIA-B (2005-2011) UT WOS 000308513700092 DOI 10.5220/0003276505300535 Annotation 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. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2011
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