Least Squares Support Vector Machines for FHR Classification and Assessing the pH Based Categorization

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F16%3A00307025" target="_blank" >RIV/68407700:21730/16:00307025 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21460/16:00307025
Result on the web
<a href="http://80.link.springer.com.dialog.cvut.cz/chapter/10.1007/978-3-319-32703-7_234" target="_blank" >http://80.link.springer.com.dialog.cvut.cz/chapter/10.1007/978-3-319-32703-7_234</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-32703-7_233" target="_blank" >10.1007/978-3-319-32703-7_233</a>

Result language
angličtina
Original language name
Least Squares Support Vector Machines for FHR Classification and Assessing the pH Based Categorization
Original language description
Cardiotocography (CTG) is the major monitoring tool for fetal well-being surveillance during labor. It consists of two distinctive signals: the Fetal Heart Rate (FHR) and the Uterine Contractions signal. The CTG interpretation is classically performed by obstetricians with visual inspection for reassuring or ominous patterns, which are associated with fetus' condition. Deviations of the CTG and especially of the (FHR) from normality can be an indication of oxygen deprivation during the stressful labor process, which can lead to major neurological damage to the fetus or even death. This compromise is usually reflected at the pH level of newborn's blood. Therefore pH levels are usually used for the discrimination between healthy and compromised fetuses. In this work we present our preliminary results of the application of a machine learning approach, using least squares support vector machines, to FHR classification using the largest CTG open-access database so far.
Czech name
—
Czech description
—

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)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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
5
Pages from-to
1205-1209
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
000376283000233

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