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Intrapartum Fetal Heart Rate Classification: Cross-Database Evaluation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F16%3A00305501" target="_blank" >RIV/68407700:21730/16:00305501 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-32703-7_231" target="_blank" >http://dx.doi.org/10.1007/978-3-319-32703-7_231</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-32703-7_231" target="_blank" >10.1007/978-3-319-32703-7_231</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Intrapartum Fetal Heart Rate Classification: Cross-Database Evaluation

  • Original language description

    Fetal Heart Rate (FHR) provides obstetricians with essential information about fetal reactions to stress events during delivery. Early detection of fetal acidosis, enabling timely interventions and prevention of adverse consequences of acidosis for fetuses, remains a challenging task. In particular, the use of different, proprietary and small databases in various published works hinders meaningful comparisons of achieved results. This work relies on the the use of two independent databases in order to asses relevantly acidosis detection performance and to address important issues of knowledge transfer (features, classification model) from one database to the other. Using a large set of features, supervised classification is performed with state-of-the-art sparse support vector machines. It shows that selected features and classification performance are consistent for both databases. Further it quantifies the level of generalization of the achieved results, by making use of one database for learning and the other one for testing.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GP14-28462P" target="_blank" >GP14-28462P: Statistical signal processing of intrapartum CTG in the context of clinical information</a><br>

  • Continuities

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

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    XIV MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING 2016

  • ISBN

    978-3-319-32701-3

  • ISSN

    1680-0737

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    1193-1198

  • Publisher name

    Springer

  • Place of publication

    New York

  • Event location

    Paphos

  • Event date

    Mar 31, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000376283000231