Evaluation of predictive capabilities of quantitative cardiotocographic signal features

• Autorzy: Czabański R. , Jeżewski M. , Roj D. , Szaszkowski Z. , Kupka T. , Wróbel J.
• Języki publikacji: EN

Abstrakty

EN

Cardiotocography (CTG) is the main method of assessment of the fetal state during pregnancy and labour used in clinical practice. It is based on quantitative analysis of fetal heart rate, fetal movements and uterine contractions signals. The evaluation of the CTG signals can be made using criteria recommended by International Federation of Obstetrics and Gynecology. Nevertheless, the diagnosis verification is possible only after the delivery on the basis of newborn assessment. In the proposed work we evaluated the capacity of quantitative analysis of CTG traces in predicting fetal outcome. The relationship between CTG signal features and attributes of fetal outcome was assessed on the basis of ROC curves analysis. The obtained results indicate the adequate predictive capabilities of the selected CTG features especially for fetal outcome assessed with Apgar score and suggest the necessity of applying the criteria for the CTG traces evaluation that are related to the gestational age. Our study also shows the value of the CTG monitoring as a screening procedure providing appropriate confirmation of fetal wellbeing.

Słowa kluczowe

EN

fetal monitoring; fetal heart rate; signal classification; ROC analysis

PL

monitorowanie płodu; tętno płodu; klasyfikacja sygnału

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2010
• Tom: Vol. 16
• Strony: 11--17
• Opis fizyczny: Bibliogr. 9 poz., rys., tab.

Twórcy

autor

Czabański R.

• Silesian University of Technology, Institute of Electronics, ul. Akademicka 16, 44-100 Gliwice, Poland

autor

Jeżewski M.

autor

Roj D.

autor

Szaszkowski Z.

autor

Kupka T.

autor

Wróbel J.

Bibliografia

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• [2] BAMBER D., The area above the ordinal dominance graph and the area below the receiver operating characteristic graph, Journal of Mathematical Psychology, Vol. 12, No. 4, 1975, pp. 387–415.
• [3] CZABAŃSKI R., JEŻEWSKI M., WRÓBEL J., JEŻEWSKI J., HOROBA K., Fuzzy system for evaluation of fetal heart rate signals using FIGO criteria, Journal of Medical Informatics and Technologies, Vol. 13, 2009, pp. 189–194.
• [4] CZABAŃSKI R., JEŻEWSKI M., WRÓBEL J., KUPKA T., ŁĘSKI J., JEŻEWSKI J., The prediction of the low fetal birth weight based on quantitative description of cardiotocographic signals, Journal of Medical Informatics and Technologies, Vol. 12, 2008, pp. 97–102.
• [5] FIGO News: Guidelines for the use of fetal monitoring, International Journal of Gynecology & Obstetrics, Vol. 25, 1987, pp. 159–167.
• [6] JEZEWSKI J., WROBEL J., HOROBA K., KUPKA T., MATONIA A., Centralised fetal monitoring system with hardware-based data flow control, Proceedings of III International Conf. MEDSIP, Glasgow, 2006, pp. 51–54.
• [7] JEŻEWSKI M., CZABAŃSKI R., HOROBA K., WRÓBEL J., ŁĘSKI J., JEŻEWSKI J., Influence of gestational age on neural networks interpretation of fetal monitoring signals, Journal of Medical Informatics and Technologies, Vol. 12, 2008, pp. 137–142.
• [8] SIKORA J., Digital analysis of cardiotocographic traces for clinical fetal outcome prediction (in Polish), Perinatology and Gynecology, Vol. 21, 2001, pp. 57–88.
• [9] STREET P., DAWES G.S., MOULDEN M., REDMAN C.W., Short-term variation in abnormal antenatal fetal rate records, American Journal of Obstetrics & Gynecology, Vol. 165, No. 3, 1991, pp. 515–523.