About: Robust removal of short-duration artifacts in long neonatal EEG recordings using wavelet-enhanced ICA and adaptive combining of tentative reconstructions     Goto   Sponge   NotDistinct   Permalink

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  • 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. (en)
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 (en)
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 (en)
skos:notation
  • RIV/00064211:_____/12:#0000216!RIV14-MZ0-00064211
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, P(1M0572), P(GA102/09/1278)
http://linked.open...iv/cisloPeriodika
  • 8
http://linked.open...vai/riv/dodaniDat
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http://linked.open...dnocenehoVysledku
  • 165859
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  • RIV/00064211:_____/12:#0000216
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  • electroencephalogram; artifact removal; independent component analysis; wavelet (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
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  • [DBD65DBCE544]
http://linked.open...i/riv/nazevZdroje
  • Physiological Measurement
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http://linked.open...ichTvurcuVysledku
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  • 33
http://linked.open...iv/tvurceVysledku
  • Krajča, Vladimír
  • Tichavský, P.
  • Paul, K.
  • Zima, M.
http://linked.open...ain/vavai/riv/wos
  • 000306760300001
issn
  • 0967-3334
number of pages
http://bibframe.org/vocab/doi
  • 10.1088/0967-3334/33/8/N39
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