Fuzzy prediction of fetal acidemia

• Autorzy: Czabański R. , Roj D. , Jeżewski J. , Horoba K. , Jeżewski M.
• Języki publikacji: EN

Abstrakty

EN

Cardiotocography is the primary method for biophysical assessment of a fetal state. It is based mainly on the recording and analysis of fetal heart rate signal (FHR). Computer systems for fetal monitoring provide a quantitative description of FHR signals, however the effective methods for their qualitative assessment are still needed. The measurements of hydronium ions concentration (pH) in newborn cord blood is considered as the objective indicator of the fetal state. Improper pH level is a symptom of acidemia being the result of fetal hypoxia. The paper proposes a twostep analysis of signals allowing for effective prediction of the acidemia risk. The first step consists in the fuzzy classification of FHR signals. The task of fuzzy inference is to indicate signals that according to the FIGO guidelines represent the fetal wellbeing. These recordings are eliminated from the further classification with Lagrangian Support Vector Machines. The proposed procedure was evaluated using data collected with computerized fetal surveillance system. The classification results confirmed the high quality of the proposed fuzzy method of fetal state evaluation.

Słowa kluczowe

EN

fetal monitoring; fetal heart rate; signal classification; fuzzy systems

PL

monitorowanie płodu; tętno płodu; klasyfikacja sygnału; systemy rozmyte

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2011
• Tom: Vol. 17
• Strony: 81--87
• Opis fizyczny: Bibliogr. 12 poz., rys., tab.

Twórcy

autor

Czabański R.

• Institute of Medical Technology and Equipment, Biomedical Signal Processing Department, ul. Roosevelta 118, 41-800 Zabrze, Poland

autor

Roj D.

autor

Jeżewski J.

autor

Horoba K.

autor

Jeżewski M.

Bibliografia

• [1] CZABANSKI R., JEZEWSKI M., WROBEL J., JEZEWSKI J., HOROBA K., Fuzzy system for evaluation of fetal heart rate signals using FIGO criteria, J. of Medical Informatics and Technologies, Vol. 13, 2009, pp. 189-194.
• [2] CZABANSKI R., JEZEWSKI M., WROBEL J., JEZEWSKI J., HOROBA K., Predicting the risk of low fetal birth weight from cardiotocographic signals using ANBLIR system with deterministic annealing and e-insensitive learning, IEEE Trans. on Inf. Tech. in BioMedicine, Vol. 14, 2010, pp. 1062–1074.
• [3] FISCHER W.M., STUDE I., BRANDT H., Ein Vorschlag zur Beurteilung des antepartalen Kardiotokogramms, Geburtshilfe und Perinatologie, Vol. 180, 1976, pp. 117-223.
• [4] GEORGOULAS G., STYLIOS C., GROUMPOS P., Predicting the risk of metabolic acidosis for newborns based on fetal heart rate signal classification using support vector machines, IEEE Trans. on Biomedical Engineering, Vol. 53, 2006, pp. 875 –884.
• [5] JEZEWSKI J., WROBEL J., HOROBA K., KUPKA T., MATONIA A., Centralised fetal monitoring system with hardware-based data flow control, Proc. of III Int. Conf. MEDSIP, Glasgow, 2006, pp. 51–54.
• [6] KRUPA N., MA M., ZAHEDI E., AHMED S., HASSAN F., Antepartum fetal heart rate feature extraction and classification using empirical mode decomposition and support vector machine, BioMedical Engineering OnLine, Vol.10 , 2011, pp. 1–15.
• [7] KUPKA T., JEZEWSKI J., MATONIA A., HOROBA K., WROBEL J., Timing events in Doppler ultrasound signal of fetal heart activity, Proc. of the 26th Ann. Int. Conf. IEEE Engineering in Medicine and Biology Society, Vol. 26, 2004, pp. 337-340.
• [8] MATONIA A., JEZEWSKI J., KUPKA T., WROBEL J., HOROBA K., WIDERA M., Instrumentation for fetal cardiac performance analysis during the antepartum period, Proc. of the 27th Ann. Int. Conf. IEEE Engineering in Medicine and Biology Society, Vol. 27, 2005, pp. 6675-6678.
• [9] MANGASARIAN O.L., MUSICANT D.R., Lagrangian support vector machines. Journal of Machine Learning Research, Vol. 1, 2001, pp. 161–177.
• [10] ROOTH G., Guidelines for the use of fetal monitoring, Int. J. Gynecol. Obstet., Vol. 25, 1987, pp.159-167.
• [11] STREET P., DAWES G.S., MOULDEN M., REDMAN C.W., Short-term variation in abnormal antenatal fetal rate records, Am J. Obstet. Gynecol., Vol. 165, 1991, pp. 515–523.
• [12] ZADEH L.A., Fuzzy sets, Information and Control, Vol. 8, No.4, 1995, pp. 338–353.