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Assessment of features for automatic CTG analysis based on expert Annotation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F11%3A%230001549" target="_blank" >RIV/65269705:_____/11:#0001549 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21230/11:00203843 RIV/68407700:21230/11:00310219

  • Result on the web

    <a href="http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6091495" target="_blank" >http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6091495</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/IEMBS.2011.6091495" target="_blank" >10.1109/IEMBS.2011.6091495</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Assessment of features for automatic CTG analysis based on expert Annotation

  • Original language description

    Cardiotocography (CTG) is the monitoring of fetal heart rate (FHR) and uterine contractions (TOCO) since 1960's used routinely by obstetricians to detect fetal hypoxia. The evaluation of the FHR in clinical settings is based on an evaluation of macroscopic morphological features and so far has managed to avoid adopting any achievements from the HRV research field. In this work, most of the ever-used features utilized for FHR characterization, including FIGO, HRV, nonlinear, wavelet, and time and frequency domain features, are investigated and the features are assessed based on their statistical significance in the task of distinguishing the FHR into three FIGO classes. Annotation derived from the panel of experts instead of the commonly utilized pH values was used for evaluation of the features on a large data set (552 records). We conclude the paper by presenting the best uncorrelated features and their individual rank of importance according to the meta-analysis of three different ra

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    FK - Gynaecology and obstetrics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/NT11124" target="_blank" >NT11124: Impact of Cardiotocography evaluation by means of artificial inteligence on perinatal care</a><br>

  • Continuities

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

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    33rd Annual International Conference of the IEEE EMBS

  • ISBN

    978-1-4244-4122-8

  • ISSN

    1557-170X

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    6051-6054

  • Publisher name

    IEEE

  • Place of publication

    Boston

  • Event location

    Boston

  • Event date

    Jan 1, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000298810004242