About: Evaluation of Fetal Heart Rate Recordings Based on Clustering

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Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://cinc.org/archives/2014/pdf/0621.pdf
Description	Fetal heart rate (FHR) recorded within the cardiotocography (CTG) measurement is currently the main method to evaluate fetal health state during delivery. The CTG provides valuable information about fetal behavior as a reaction to stressful events (hypoxic episodes). The presented paper proposes to use data driven analysis of FHR – the clustering analysis of features derived automatically from the signal using novel method of signal approximation called SAX. Even though the clustering is well grounded in signal processing tasks in the field of FHR research it is used sparingly due to high inter-individual variability of fetuses and difficulties to link different temporal events. Data from the open access CTU-UHB database (552 CTG records) available at the Physionet are used and the 30 minutes segments at the end of the first stage of labor are analyzed. The classification based on clustering achieved sensitivity of 58.7% and specificity of 69.4% for the two class classification – well comparable to other pH based studies. Sensitivity was improved to 71.4% for six cluster settings – thus suggesting different classes of FHR. This is in contrast with objective evaluation (two classes usually determined with pH threshold) and three classes (used by clinicians for evaluation). Nevertheless to properly describe the link between these clusters and clinical evaluation robust interpretation is still necessary Fetal heart rate (FHR) recorded within the cardiotocography (CTG) measurement is currently the main method to evaluate fetal health state during delivery. The CTG provides valuable information about fetal behavior as a reaction to stressful events (hypoxic episodes). The presented paper proposes to use data driven analysis of FHR – the clustering analysis of features derived automatically from the signal using novel method of signal approximation called SAX. Even though the clustering is well grounded in signal processing tasks in the field of FHR research it is used sparingly due to high inter-individual variability of fetuses and difficulties to link different temporal events. Data from the open access CTU-UHB database (552 CTG records) available at the Physionet are used and the 30 minutes segments at the end of the first stage of labor are analyzed. The classification based on clustering achieved sensitivity of 58.7% and specificity of 69.4% for the two class classification – well comparable to other pH based studies. Sensitivity was improved to 71.4% for six cluster settings – thus suggesting different classes of FHR. This is in contrast with objective evaluation (two classes usually determined with pH threshold) and three classes (used by clinicians for evaluation). Nevertheless to properly describe the link between these clusters and clinical evaluation robust interpretation is still necessary (en)
Title	Evaluation of Fetal Heart Rate Recordings Based on Clustering Evaluation of Fetal Heart Rate Recordings Based on Clustering (en)
skos:prefLabel	Evaluation of Fetal Heart Rate Recordings Based on Clustering Evaluation of Fetal Heart Rate Recordings Based on Clustering (en)
skos:notation	RIV/68407700:21230/14:00222198!RIV15-GA0-21230___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GP14-28462P)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Spilka, Jiří Chudáček, Václav Janíčková, Tereza
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	15366
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/14:00222198
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	FHR; SAX; Clustering (en)
http://linked.open.../riv/klicoveSlovo	Clustering FHR SAX
http://linked.open...ontrolniKodProRIV	[7EDFF5D028CD]
http://linked.open...v/mistoKonaniAkce	Cambridge
http://linked.open...i/riv/mistoVydani	Piscataway
http://linked.open...i/riv/nazevZdroje	Computing in Cardiology - 41st Annual Conference Computing in Cardiology
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Statistické metody zpracování signálu KTG při porodu zasazené do kontextu klinických informací
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Chudáček, Václav Spilka, Jiří Janíčková, Tereza
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-09-07 (xsd:date)
issn	2325-8861
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE
http://localhost/t...ganizacniJednotka	21230

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