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Statements

Subject Item
n2:RIV%2F68407700%3A21460%2F08%3A00193220%21RIV13-MSM-21460___
rdf:type
skos:Concept n15:Vysledek
dcterms:description
The electroencephalogram (EEG) and neonatal sleep analysis provide sensitive markers of brain maturation and developmental changes in term and preterm newborns. A new method for automatic sleep stages indication was developed. The procedure is based on processing of time profiles using adaptive segmentation and subsequent classification of extracted signal graphoelements. The time profiles, functions of the class membership in the course of time, reflect the dynamic EEG structure and may be used for indication of changes in the neonatal sleep. The method is able to detect the sleep stage changes even in preterm infants' EEG. The electroencephalogram (EEG) and neonatal sleep analysis provide sensitive markers of brain maturation and developmental changes in term and preterm newborns. A new method for automatic sleep stages indication was developed. The procedure is based on processing of time profiles using adaptive segmentation and subsequent classification of extracted signal graphoelements. The time profiles, functions of the class membership in the course of time, reflect the dynamic EEG structure and may be used for indication of changes in the neonatal sleep. The method is able to detect the sleep stage changes even in preterm infants' EEG.
dcterms:title
Modeling the Microstructure of Neonatal EEG Sleep Stages by Temporal Profiles Modeling the Microstructure of Neonatal EEG Sleep Stages by Temporal Profiles
skos:prefLabel
Modeling the Microstructure of Neonatal EEG Sleep Stages by Temporal Profiles Modeling the Microstructure of Neonatal EEG Sleep Stages by Temporal Profiles
skos:notation
RIV/68407700:21460/08:00193220!RIV13-MSM-21460___
n3:aktivita
n5:V n5:P
n3:aktivity
P(1ET101210512), V
n3:dodaniDat
n13:2013
n3:domaciTvurceVysledku
n20:8891532
n3:druhVysledku
n16:D
n3:duvernostUdaju
n7:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
379909
n3:idVysledku
RIV/68407700:21460/08:00193220
n3:jazykVysledku
n18:eng
n3:klicovaSlova
EEG; neonates; adaptive segmentation; profiles
n3:klicoveSlovo
n12:EEG n12:adaptive%20segmentation n12:profiles n12:neonates
n3:kontrolniKodProRIV
[9AAC55BB5A2C]
n3:mistoKonaniAkce
Singapore
n3:mistoVydani
New York
n3:nazevZdroje
IFMBE Proceedings
n3:obor
n9:FS
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
6
n3:projekt
n21:1ET101210512
n3:rokUplatneniVysledku
n13:2008
n3:tvurceVysledku
Paul, K. Petranek, S. Gerla, V. Lhotská, Lenka Mohylova, J. Krajča, Vladimír
n3:typAkce
n17:WRD
n3:wos
000268245600033
n3:zahajeniAkce
2008-12-03+01:00
s:issn
1680-0737
s:numberOfPages
5
n14:hasPublisher
Springer-Verlag
n10:isbn
978-3-540-92840-9
n19:organizacniJednotka
21460