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Discriminating Normal from ?Abnormal? Pregnancy Cases Using an Automated FHR Evaluation Method

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00222200" target="_blank" >RIV/68407700:21230/14:00222200 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007%2F978-3-319-07064-3_45" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-07064-3_45</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-07064-3_45" target="_blank" >10.1007/978-3-319-07064-3_45</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Discriminating Normal from ?Abnormal? Pregnancy Cases Using an Automated FHR Evaluation Method

  • Original language description

    Electronic fetal monitoring has become the gold standard for fetal assessment both during pregnancy as well as during delivery. Even though electronic fetal monitoring has been introduced to clinical practice more than forty years ago, there is still controversy in its usefulness especially due to the high inter- and intra-observer variability. Therefore the need for a more reliable and consistent interpretation has prompted the research community to investigate and propose various automated methodologies. In this work we propose the use of an automated method for the evaluation of fetal heart rate, the main monitored signal, which is based on a data set, whose labels/annotations are determined using a mixture model of clinical annotations. The successful results of the method suggest that it could be integrated into an assistive technology during delivery.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Artificial Intelligence: Methods and Applications

  • ISBN

    978-3-319-07063-6

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    521-531

  • Publisher name

    Springer

  • Place of publication

    Heidelberg

  • Event location

    Ioannina

  • Event date

    May 15, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article