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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F13%3A00206694%21RIV14-MSM-21230___
rdf:type
skos:Concept n11:Vysledek
rdfs:seeAlso
http://link.springer.com/chapter/10.1007%2F978-3-642-40093-3_4#page-1
dcterms:description
Fetal heart rate (FHR) provides information about fetal well-being during labor. The FHR is usually the sole direct information channel from the fetus -- undergoing the stress of labor -- to the clinician who tries to detect possible ongoing hypoxia. For this paper, new CTU-UHB CTG database was used to compute more than 50 features. Features came from different domains ranging from classical morphological features based on FIGO guidelines to frequency-domain and non-linear features. Features were selected using the RELIEF (RELevance In Estimating Features) technique, and classified after applying Synthetic Minority Oversampling Technique (SMOTE) to the pathological class of the data. Nearest mean classifier with adaboost was used to obtain the final results. In results section besides the direct outcome of classification the top ten ranked features are presented. Fetal heart rate (FHR) provides information about fetal well-being during labor. The FHR is usually the sole direct information channel from the fetus -- undergoing the stress of labor -- to the clinician who tries to detect possible ongoing hypoxia. For this paper, new CTU-UHB CTG database was used to compute more than 50 features. Features came from different domains ranging from classical morphological features based on FIGO guidelines to frequency-domain and non-linear features. Features were selected using the RELIEF (RELevance In Estimating Features) technique, and classified after applying Synthetic Minority Oversampling Technique (SMOTE) to the pathological class of the data. Nearest mean classifier with adaboost was used to obtain the final results. In results section besides the direct outcome of classification the top ten ranked features are presented.
dcterms:title
Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database
skos:prefLabel
Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database
skos:notation
RIV/68407700:21230/13:00206694!RIV14-MSM-21230___
n11:predkladatel
n13:orjk%3A21230
n3:aktivita
n4:S n4:P
n3:aktivity
P(7AMB12GR066), P(NT11124), S
n3:dodaniDat
n6:2014
n3:domaciTvurceVysledku
n9:9431446 n9:7470509 n9:8323178
n3:druhVysledku
n20:D
n3:duvernostUdaju
n15:S
n3:entitaPredkladatele
n21:predkladatel
n3:idSjednocenehoVysledku
62607
n3:idVysledku
RIV/68407700:21230/13:00206694
n3:jazykVysledku
n22:eng
n3:klicovaSlova
Fetal Heart Rate; Intrapartum; Feature Selection; Classification
n3:klicoveSlovo
n8:Intrapartum n8:Fetal%20Heart%20Rate n8:Feature%20Selection n8:Classification
n3:kontrolniKodProRIV
[6D4683677009]
n3:mistoKonaniAkce
Prague
n3:mistoVydani
Heidelberg
n3:nazevZdroje
Information Technology in Bio- and Medical Informatics, ITBAM 2013
n3:obor
n17:JC
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
8
n3:projekt
n5:7AMB12GR066 n5:NT11124
n3:rokUplatneniVysledku
n6:2013
n3:tvurceVysledku
Oikonomou, V. P. Karvelis, P. Janků, P. Stylios, Ch. Chudáček, Václav Spilka, Jiří Georgoulas, G. Lhotská, Lenka
n3:typAkce
n23:EUR
n3:zahajeniAkce
2013-08-26+02:00
s:issn
0302-9743
s:numberOfPages
15
n24:doi
10.1007/978-3-642-40093-3_4
n10:hasPublisher
Springer-Verlag
n12:isbn
978-3-642-40092-6
n19:organizacniJednotka
21230