Počet záznamů: 1

Automatic Removal of Sparse Artifacts in Electroencephalogram

  1. 1.
    0356355 - UTIA-B 2011 RIV PT eng C - Konferenční příspěvek (zahraniční konf.)
    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]
    Grant CEP: GA MŠk 1M0572; GA ČR GA102/09/1278
    Výzkumný záměr: CEZ:AV0Z10750506
    Klíčová slova: electroencephalogram * artifact removal * independent component analysis
    Kód oboru RIV: FH - Neurologie, neurochirurgie, neurovědy
    http://library.utia.cas.cz/separaty/2011/SI/tichavsky-automatic removal of sparse artifacts in electroencephalogram.pdf 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.
    Trvalý link: http://hdl.handle.net/11104/0194897