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Adaptive Multiscale Complexity Analysis of Fetal Heart Rate
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
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2011 (English)In: IEEE Transactions on Biomedical Engineering, ISSN 0018-9294, E-ISSN 1558-2531, Vol. 58, no 8, 2186-2193 p.Article in journal (Refereed) Published
Abstract [en]

Per partum fetal asphyxia is a major cause of neonatal morbidity and mortality. Fetal heart rate monitoring plays an important role in early detection of acidosis, an indicator for asphyxia. This problem is addressed in this paper by introducing a novel complexity analysis of fetal heart rate data, based on producing a collection of piecewise linear approximations of varying dimensions from which a measure of complexity is extracted. This procedure specifically accounts for the highly nonstationary context of labor by being adaptive and multiscale. Using a reference dataset, made of real per partum fetal heart rate data, collected in situ and carefully constituted by obstetricians, the behavior of the proposed approach is analyzed and illustrated. Its performance is evaluated in terms of the rate of correct acidosis detection versus the rate of false detection, as well as how early the detection is made. Computational cost is also discussed. The results are shown to be extremely promising and further potential uses of the tool are discussed. MATLAB routines implementing the procedure will be made available at the time of publication.

Place, publisher, year, edition, pages
2011. Vol. 58, no 8, 2186-2193 p.
Keyword [en]
Fetal heart rate (FHR) monitoring, multiscale approximations, network flow algorithms, per partum acidosis detection, time series complexity
National Category
Medical and Health Sciences
URN: urn:nbn:se:kth:diva-38996DOI: 10.1109/TBME.2011.2121906ISI: 000293700800007ScopusID: 2-s2.0-79960720805OAI: diva2:438850
Available from: 2011-09-05 Created: 2011-09-05 Last updated: 2011-09-07Bibliographically approved

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Helgason, Hannes
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