About: Automatic Classification of Intrapartal Fetal Heart Rate Recordings - can it compete with experts?     Goto   Sponge   NotDistinct   Permalink

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Description
  • Fetal heart rate (fHR) is used to evaluate the fetal well-being during the delivery. It provides information of fetal status and allows doctors to detect ongoing hypoxia. Routine clinical evaluation of intrapartal fHR is based on description of macroscopic morphological features of its baseline. In this paper we show, that by using additional features for description of the fHR recordings, we can improve the classification accuracy. Additionally since results of automatic signal evaluation are easily reproducible we can objectify the whole process, thus enabling us to focus on the underlying reasons for high expert inter-observer and intra-observer variability.
  • Fetal heart rate (fHR) is used to evaluate the fetal well-being during the delivery. It provides information of fetal status and allows doctors to detect ongoing hypoxia. Routine clinical evaluation of intrapartal fHR is based on description of macroscopic morphological features of its baseline. In this paper we show, that by using additional features for description of the fHR recordings, we can improve the classification accuracy. Additionally since results of automatic signal evaluation are easily reproducible we can objectify the whole process, thus enabling us to focus on the underlying reasons for high expert inter-observer and intra-observer variability. (en)
Title
  • Automatic Classification of Intrapartal Fetal Heart Rate Recordings - can it compete with experts?
  • Automatic Classification of Intrapartal Fetal Heart Rate Recordings - can it compete with experts? (en)
skos:prefLabel
  • Automatic Classification of Intrapartal Fetal Heart Rate Recordings - can it compete with experts?
  • Automatic Classification of Intrapartal Fetal Heart Rate Recordings - can it compete with experts? (en)
skos:notation
  • RIV/68407700:21230/10:00169668!RIV11-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 248178
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/10:00169668
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • CTG; fHR; Feature Evaluation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [030E9A00F8D5]
http://linked.open...v/mistoKonaniAkce
  • Bilbao
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • Information Technology in Bio-and Medical Informatics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Chudáček, Václav
  • Huptych, Michal
  • Lhotská, Lenka
  • Spilka, Jiří
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 0302-9743
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-15019-7
http://localhost/t...ganizacniJednotka
  • 21230
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