About: Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://link.springer.com/chapter/10.1007%2F978-3-642-40093-3_4#page-1
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. (en)
Title	Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database (en)
skos:prefLabel	Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database (en)
skos:notation	RIV/68407700:21230/13:00206694!RIV14-MSM-21230___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(7AMB12GR066), P(NT11124), S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Spilka, Jiří Chudáček, Václav Lhotská, Lenka
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	62607
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/13:00206694
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Fetal Heart Rate; Intrapartum; Feature Selection; Classification (en)
http://linked.open.../riv/klicoveSlovo	Feature Selection Fetal Heart Rate Intrapartum Classification
http://linked.open...ontrolniKodProRIV	[6D4683677009]
http://linked.open...v/mistoKonaniAkce	Prague
http://linked.open...i/riv/mistoVydani	Heidelberg
http://linked.open...i/riv/nazevZdroje	Information Technology in Bio- and Medical Informatics, ITBAM 2013
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	8 (xsd:int)
http://linked.open...vavai/riv/projekt	Impact of Cardiotocography evaluation by means of artificial inteligence on perinatal care Intelligent System for Automatic CardioTocoGraphic Data Analysis and Evaluation in Context of Patient Record Data using State of the Art Computational Intelligence Techniques
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Chudáček, Václav Janků, P. Lhotská, Lenka Spilka, Jiří Georgoulas, G. Oikonomou, V. P. Stylios, Ch. Karvelis, P.
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2013-08-26 (xsd:date)
issn	0302-9743
number of pages	15 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-40093-3_4
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-40092-6
http://localhost/t...ganizacniJednotka	21230

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