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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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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
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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
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