Improving the quality of the fetal state assessment with epsilon-insensitive learning methods

• Autorzy: Czabański R. , Wróbel J. , Jeżewski J. , Łęski J.
• Języki publikacji: EN

Abstrakty

EN

Recording and analysis of fetal heart rate (FHR) signal is nowadays the primary method for the biophysical assessment of the fetal state. Since the correct interpretation of crucial FHR characteristics is difficult, methods of automated quantitative signal evaluation are still the subject of the research studies. In the following paper we investigated the possibility of improvement of the fetal state evaluation on the basis of the epsilon-insensitive learning (eIL). We examined two eIL procedures integrated with fuzzy clustering algorithms as well as different methods of logical interpretation of the fuzzy conditional statements. The quality of the FHR signal classification was evaluated using the data collected with the computerized fetal surveillance system. The learning performance was measured with the number of correct classification (CC) and overall quality index (QI) defined as a geometric mean of sensitivity and specificity. The obtained results (CC = 88 % and QI = 87 %) show a high efficiency of the fetal state assessment using the epsilon-insensitive learning based methods.

Słowa kluczowe

EN

fetal monitoring; fuzzy implication; epsilon-insensitive learning

PL

monitorowanie płodu; implikacja rozmyta

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2014
• Tom: Vol. 23
• Strony: 19--26
• Opis fizyczny: Bibliogr. 19 poz., tab.

Twórcy

autor

Czabański R.

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

autor

Wróbel J.

• Institute of Medical Technology and Equipment, Roosevelt Str. 118, 41-800 Zabrze, Poland

autor

Jeżewski J.

• Institute of Medical Technology and Equipment, Roosevelt Str. 118, 41-800 Zabrze, Poland

autor

Łęski J.

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

Bibliografia

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