0379312 20240111140818.920120828235959.9 000306760300001 84864400768 10.1088/0967-3334/33/8/N39 11 s. cav_un_epca*02547370967-3334338 (2012)39-49Institute of Physics Publishing electroencephalogram artifact removal independent component analysis wavelet denoising 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*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*0049302 Paul K. CZ cav_un_auth*0215799 Krajča V. CZ http://library.utia.cas.cz/separaty/2014/SI/zima-0379312.pdf 1.5MB 1M0572 GA MŠk cav_un_auth*0001814 GA102/09/1278 GA ČR cav_un_auth*0253174 The goal of this paper is to describe a Robust Artifact Removal (RAR) method - an automatic sequential procedure which is capable of removing short-duration, high-amplitude artifacts from long-term neonatal EEG recordings. Such artifacts are mainly caused by movement activity, and have an adverse effect on automatic processing of long-term sleep recordings. The artifacts are removed sequentially in short-term signals using ICA transformation and wavelet denoising. In order to gain robustness of the RAR method, the whole EEG recording is processed multiple times. The resulting tentative reconstructions are then combined. We show results in a data set of signals from ten healthy newborns. Those results prove, both qualitatively and quantitatively, that the RAR method is capable of automatically rejecting the mentioned artifacts without changes in overall signal properties such as the spectrum. The method is shown to perform better than either the wavelet-enhanced ICA or the simple artifact rejection method without the combination procedure. 2013 FH 4 4 A 4a 20231122135140.1 RVO:67985556 http://hdl.handle.net/11104/0210556 BIOPHYSICS|ENGINEERINGBIOMEDICAL|PHYSIOLOGY 1.822 0.297 6.4 0.00628 0.492 2969 155 53 0.541 32.73 1.75 Q3 14.399 30.696 Q4 Q3 2012 Soubory v repozitáři: zima-0379312.pdf 84864400768 SCOPUS 000306760300001 WOS 1.5MB cav_un_epca*0254737 Physiological Measurement 0967-3334 1361-6579 Roč. 33 č. 8 2012 39 49 Institute of Physics Publishing