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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Artificial Intelligence: Methods and Applications

ISBN

978-3-319-07063-6

ISSN

0302-9743

e-ISSN

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Počet stran výsledku

11

Strana od-do

521-531

Název nakladatele

Springer

Místo vydání

Heidelberg

Místo konání akce

Ioannina

Datum konání akce

15. 5. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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