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Least squares support vector machines for FHR classification and assessing the pH based categorization
Laboratory of Knowledge and Intelligent Computing, Department of Computer Engineering, TEI of Epirus, Artas, Kostakioi.
Laboratory of Knowledge and Intelligent Computing, Department of Computer Engineering, TEI of Epirus, Artas, Kostakioi.ORCID iD: 0000-0001-9701-4203
Laboratory of Knowledge and Intelligent Computing, Department of Computer Engineering, Technological Educational Institute of Epirus.
CIIRC, Czech Technical, University in Prague.
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2016 (English)Conference paper, Published paper (Refereed)
Abstract [en]

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 openaccess database so far

Place, publisher, year, edition, pages
2016. 1205-1209 p.
Series
IFMBE Proceedings, ISSN 1680-0737 ; 57
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-65961DOI: 10.1007/978-3-319-32703-7_233Scopus ID: 2-s2.0-84968645240ISBN: 9783319327013 (print)OAI: oai:DiVA.org:ltu-65961DiVA: diva2:1146866
Conference
14th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016, Paphos, Cyprus, 31 March - 2 April 2016
Available from: 2017-10-04 Created: 2017-10-04 Last updated: 2017-11-24Bibliographically approved

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Georgoulas, Georgios
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CiteExportLink to record
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  • apa
  • harvard1
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