Automatic classification of intrapartal fetal heart-rate recordings: can it compete with experts?

Authors:
Václav Chudáček;Jiří Spilka;Michal Huptych;George Georgoulas;Petr Janků;Michal Koucký;Chrysostomos Stylios;Lenka Lhotská
Affiliations:
Dept. of Cybernetics, CTU in Prague;Dept. of Cybernetics, CTU in Prague;Dept. of Cybernetics, CTU in Prague;Dept. of Computer Applications in Finance and Management, TEI of Ionian Islands, Lefkas, Greece;Dept. of Obstetrics and Gynaecology, FN Brno;Dept. of Obstetrics and Gynaecology, CUNI in Prague;Dept. of Communications, Informatics and Management, TEI of Epirus, Artas, Greece;Dept. of Cybernetics, CTU in Prague
Venue:
ITBAM'10 Proceedings of the First international conference on Information technology in bio- and medical informatics
Year:
2010

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Abstract

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.