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Classification of fetal heart rate tracings based on wavelet-transform & self-organizing-map neural networks

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dc.contributor.author Vasios, G en
dc.contributor.author Prentza, A en
dc.contributor.author Blana, D en
dc.contributor.author Salamalekis, E en
dc.contributor.author Thomopoulos, P en
dc.contributor.author Giannaris, D en
dc.contributor.author Koutsouris, D en
dc.date.accessioned 2014-03-01T02:41:45Z
dc.date.available 2014-03-01T02:41:45Z
dc.date.issued 2001 en
dc.identifier.issn 05891019 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30616
dc.subject Fetal heart rate monitoring en
dc.subject Fetal hypoxia en
dc.subject Fetal pulse oximetry en
dc.subject Neural network en
dc.subject Wavelet analysis en
dc.title Classification of fetal heart rate tracings based on wavelet-transform & self-organizing-map neural networks en
heal.type conferenceItem en
heal.identifier.primary 10.1109/IEMBS.2001.1020527 en
heal.identifier.secondary http://dx.doi.org/10.1109/IEMBS.2001.1020527 en
heal.publicationDate 2001 en
heal.abstract The objective of the present study is the development of an automated computerized system that will assist the early diagnosis of fetal hypoxia. We demonstrate that it is possible to distinguish between healthy subjects and acidemic fetuses by way of wavelet transform analysis of the fetal heart rate recordings and fetal pulse oximetry (FSpO2). We focus on the values of the standard deviation of the wavelet components (up to scale index 5) and we apply Self-Organizing-Map in order to investigate the relationship between the fetal heart rate variability in different scales and FSpO2 (taking as a threshold for the FSpO2, the 30% level and considering the minimum value of FSpO2 during a 10-minute segment) for normal and acidemic fetuses during the second stage of labor, which can be used to discriminate acidemic fetuses from normal ones. A total accuracy of 91% has been achieved, enabling us to correctly classify all the normal cases (but one) as belonging in the normal group and all pathologic cases (but two) as belonging in the acidemia group, therefore providing a clinically significant measure for the discrimination of the different groups. Fetal pulse oximetry seems to be an important additional source of information. en
heal.journalName Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings en
dc.identifier.doi 10.1109/IEMBS.2001.1020527 en
dc.identifier.volume 2 en
dc.identifier.spage 1633 en
dc.identifier.epage 1636 en


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