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Statements

Subject Item
n2:RIV%2F00064211%3A_____%2F12%3A%230000216%21RIV14-MZ0-00064211
rdf:type
skos:Concept n6:Vysledek
dcterms:description
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 the automatic processing of long-term sleep recordings. The artifacts are removed sequentially in short-term signals using independent component analysis (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. 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 the automatic processing of long-term sleep recordings. The artifacts are removed sequentially in short-term signals using independent component analysis (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.
dcterms:title
Robust removal of short-duration artifacts in long neonatal EEG recordings using wavelet-enhanced ICA and adaptive combining of tentative reconstructions Robust removal of short-duration artifacts in long neonatal EEG recordings using wavelet-enhanced ICA and adaptive combining of tentative reconstructions
skos:prefLabel
Robust removal of short-duration artifacts in long neonatal EEG recordings using wavelet-enhanced ICA and adaptive combining of tentative reconstructions Robust removal of short-duration artifacts in long neonatal EEG recordings using wavelet-enhanced ICA and adaptive combining of tentative reconstructions
skos:notation
RIV/00064211:_____/12:#0000216!RIV14-MZ0-00064211
n6:predkladatel
n7:ico%3A00064211
n4:aktivita
n19:P n19:I
n4:aktivity
I, P(1M0572), P(GA102/09/1278)
n4:cisloPeriodika
8
n4:dodaniDat
n10:2014
n4:domaciTvurceVysledku
n15:8891532
n4:druhVysledku
n18:J
n4:duvernostUdaju
n13:S
n4:entitaPredkladatele
n11:predkladatel
n4:idSjednocenehoVysledku
165859
n4:idVysledku
RIV/00064211:_____/12:#0000216
n4:jazykVysledku
n8:eng
n4:klicovaSlova
electroencephalogram; artifact removal; independent component analysis; wavelet
n4:klicoveSlovo
n5:independent%20component%20analysis n5:electroencephalogram n5:wavelet n5:artifact%20removal
n4:kodStatuVydavatele
GB - Spojené království Velké Británie a Severního Irska
n4:kontrolniKodProRIV
[DBD65DBCE544]
n4:nazevZdroje
Physiological Measurement
n4:obor
n17:FH
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
4
n4:projekt
n16:GA102%2F09%2F1278 n16:1M0572
n4:rokUplatneniVysledku
n10:2012
n4:svazekPeriodika
33
n4:tvurceVysledku
Krajča, Vladimír Zima, M. Paul, K. Tichavský, P.
n4:wos
000306760300001
s:issn
0967-3334
s:numberOfPages
11
n14:doi
10.1088/0967-3334/33/8/N39