Computerised intrapartum diagnosis of fetal hypoxia based on fetal heart rate monitoring and fetal pulse oximetry recordings utilising wavelet analysis and neural networks

Salamalekis, E; Thomopoulos, P; Giannaris, D; Salloum, I; Vasios, G; Prentza, A; Koutsouris, D

dc.contributor.author	Salamalekis, E	en
dc.contributor.author	Thomopoulos, P	en
dc.contributor.author	Giannaris, D	en
dc.contributor.author	Salloum, I	en
dc.contributor.author	Vasios, G	en
dc.contributor.author	Prentza, A	en
dc.contributor.author	Koutsouris, D	en
dc.date.accessioned	2014-03-01T01:17:39Z
dc.date.available	2014-03-01T01:17:39Z
dc.date.issued	2002	en
dc.identifier.issn	1470-0328	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14604
dc.subject	pulse oximetry	en
dc.subject	Wavelet Analysis	en
dc.subject	Fetal Heart Rate	en
dc.subject	Neural Network	en
dc.subject.classification	Obstetrics & Gynecology	en
dc.subject.other	algorithm	en
dc.subject.other	article	en
dc.subject.other	artificial neural network	en
dc.subject.other	cardiotocography	en
dc.subject.other	cluster analysis	en
dc.subject.other	controlled study	en
dc.subject.other	diagnostic accuracy	en
dc.subject.other	fetus	en
dc.subject.other	fetus electrocardiography	en
dc.subject.other	fetus hypoxia	en
dc.subject.other	fetus monitoring	en
dc.subject.other	gestational age	en
dc.subject.other	Greece	en
dc.subject.other	human	en
dc.subject.other	labor	en
dc.subject.other	major clinical study	en
dc.subject.other	prenatal diagnosis	en
dc.subject.other	priority journal	en
dc.subject.other	pulse oximetry	en
dc.subject.other	Adult	en
dc.subject.other	Cardiotocography	en
dc.subject.other	Diagnosis, Computer-Assisted	en
dc.subject.other	Female	en
dc.subject.other	Fetal Hypoxia	en
dc.subject.other	Heart Rate, Fetal	en
dc.subject.other	Humans	en
dc.subject.other	Neural Networks (Computer)	en
dc.subject.other	Oximetry	en
dc.subject.other	Oxygen	en
dc.subject.other	Pregnancy	en
dc.subject.other	Prenatal Diagnosis	en
dc.subject.other	Retrospective Studies	en
dc.subject.other	Sensitivity and Specificity	en
dc.title	Computerised intrapartum diagnosis of fetal hypoxia based on fetal heart rate monitoring and fetal pulse oximetry recordings utilising wavelet analysis and neural networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S1470-0328(02)01988-2	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S1470-0328(02)01988-2	en
heal.language	English	en
heal.publicationDate	2002	en
heal.abstract	Objective To develop a computerised system that will assist the early diagnosis of fetal hypoxia and to investigate the relationship between the fetal heart rate variability and the fetal pulse oximetry recordings. Design Retrospective off-line analysis of cardiotocogram and FSpO(2) recordings. Setting The Maternity Unit of the 2nd Department of Obstetrics and Gynaecology, Aretaieion Hospital, University of Athens. Population Sixty-one women of more than 37 weeks of gestation were monitored throughout labour. Methods Multiresolution wavelet analysis was applied in each 10-minute period of second stage of labour focussing on long term variability changes in different frequency ranges and statistical analysis was performed in the associated 10-minute FSpO(2) recordings. Self-organising map neural network was used to categorise the different 10-minute fetal heart rate patterns and the associated 10-minute FSP02 recordings. Main outcome measures Umbilical artery pH of <7.20 and Apgar score at 5 minutes of less than or equal to7 formed the inclusion criteria of the risk group. Results After using k-means clustering algorithm, the two-dimensional output layer of the self-organising map neural network was divided into three distinct clusters. All the cases that mapped in cluster 3 belonged in the risk group except one. The sensitivity of the system was 83.3% and the specificity 97.9% for the detection of risk group cases. Conclusions A relationship between the fetal heart rate variability in different frequency ranges and the time in which FSpO(2) is less than 30% was noticed. Fetal pulse oximetry seems to be an important additional source of information. Computerised analysis of the fetal heart rate monitoring and pulse oximetry recordings is a promising technique in objective intrapartum diagnosis of fetal hypoxia. Further evaluation of this technique is mandatory to evaluate its efficacy and reliability in interpreting fetal heart rate recordings.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	BJOG: An International Journal of Obstetrics and Gynaecology	en
dc.identifier.doi	10.1016/S1470-0328(02)01988-2	en
dc.identifier.isi	ISI:000178520300009	en
dc.identifier.volume	109	en
dc.identifier.issue	10	en
dc.identifier.spage	1137	en
dc.identifier.epage	1142	en