Title :
The challenge of using soft computing for decision support during labour
Author :
Stylios, C.D. ; Georgoulas, G. ; Groumpos, P.P.
Author_Institution :
Comput. Sci. Dept., Ioannina Univ., Greece
Abstract :
This paper presents the development of a Decision Support System for managing the labour based on the Soft Computing technique of Fuzzy Cognitive Maps. During labour, obstetricians manage and take decisions on the fetus delivery and the procedure of the labour, monitoring continuously a visual recording of the fetus heart signal and uterine contractions and they also take under consideration other physiological medical measurements and factors. Obstetricians utilize their experience and they decide either to proceed to a natural labour or to a Caesarean section. The developing system for managing labour delivery will combine evaluation of cardiotocographic signal with other physiological data in order to create an advanced Decision Support System.
Keywords :
cognitive systems; computerised monitoring; decision support systems; fuzzy neural nets; medical signal processing; obstetrics; patient monitoring; caesarean section; cardiotocographic signal; fetus delivery; fetus heart signal; fuzzy cognitive maps; obstetricians; physiological medical measurements; soft computing; uterine contractions; visual recording monitoring; Biomedical monitoring; Cardiology; Computer science; Costs; Decision support systems; Fetus; Fuzzy cognitive maps; Fuzzy neural networks; History; Neural networks;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1019676