A neuro-fuzzy approach for predicting hemodynamic responses during anesthesia

Nunes, Catarina S; Amorim, Pedro

http://hdl.handle.net/10400.2/13933

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Authors

Nunes, Catarina S

Amorim, Pedro

Abstract(s)

The effect of drugs’ interaction on the hemodynamic variables is of great importance when considering patient’s safety and stability. It is also important for control infusion systems during anesthesia. In this article, an adaptivenetwork fuzzy inference system is used to model the effect of two drugs (propofol and remifentanil) on the mean arterial pressure and heart rate. The clinical data of 45 patients is used to train and test the model. The use of subtractive clustering improved the model performance on the testing data set. The fuzzy model is able to capture the synergistic interaction between the two drugs, but other influences were detected.

URI

http://hdl.handle.net/10400.2/13933

Citation

C. S. Nunes and P. Amorim, "A neuro-fuzzy approach for predicting hemodynamic responses during anesthesia," 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vancouver, BC, Canada, 2008, pp. 5814-5817