0356355 20240111140753.320110218235959.9 000308513700092 10.5220/0003276505300535 6 s. DVD cav_un_epca*0356688978-989-8425-35-5530-535LisabonSciTePress2011 electroencephalogram artifact removal independent component analysis cav_un_auth*0101212 Tichavský Petr Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Department of Stochastic Informatics Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0254398 Zima Miroslav Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0215799 Krajča V. CZ http://library.utia.cas.cz/separaty/2011/SI/tichavsky-automatic removal of sparse artifacts in electroencephalogram.pdf 3.2 MB 1M0572 GA MŠk cav_un_auth*0001814 GA102/09/1278 GA ČR cav_un_auth*0253174 CEZ:AV0Z10750506 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. cav_un_auth*0269772 Biosignals, Int. Conf. on Bio-inspired Systems and Signal Processing Rome 26.02.2011-29.01.2011 IT 2011 FH http://hdl.handle.net/11104/0194897 2011 000308513700092 WOS 3.2 MB cav_un_epca*0356688 Proceedings of the Third International Conference on Bio-Inspired Systems and Signal Processing, Biosignals 2011 978-989-8425-35-5 530 535 Lisabon SciTePress 2011