Automatic Classification of Intrapartal Fetal Heart Rate Recordings - can it compete with experts?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00169668" target="_blank" >RIV/68407700:21230/10:00169668 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Automatic Classification of Intrapartal Fetal Heart Rate Recordings - can it compete with experts?
Original language description
Fetal heart rate (fHR) is used to evaluate the fetal well-being during the delivery. It provides information of fetal status and allows doctors to detect ongoing hypoxia. Routine clinical evaluation of intrapartal fHR is based on description of macroscopic morphological features of its baseline. In this paper we show, that by using additional features for description of the fHR recordings, we can improve the classification accuracy. Additionally since results of automatic signal evaluation are easily reproducible we can objectify the whole process, thus enabling us to focus on the underlying reasons for high expert inter-observer and intra-observer variability.
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
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Information Technology in Bio-and Medical Informatics
ISBN
978-3-642-15019-7
ISSN
0302-9743
e-ISSN
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Number of pages
3
Pages from-to
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Publisher name
Springer
Place of publication
Berlin
Event location
Bilbao
Event date
Aug 31, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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