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Neuro-fuzzy techniques to model pharmacodynamic interactions between anesthetic drugs on the bispectral index: a preliminary study
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Abstract(s)
The aim of this preliminary study was to try to identify the effect of propofol and remifentanil on bispectral index of the
electroencephalogram (BIS), and to determine if a model can be generalized between different patients. We used the data from
three patients under stable propofol and remifentanil anesthesia for neurosurgical procedures. A Takagi-Sugeno-Kang (TSK)
fuzzy model was used to describe the effect of interaction of propofol and remifentanil on BIS. An Adaptive Network-Fuzzy
Inference System (ANFIS) was used to obtain the parameters of the TSK model. The ANFIS was able to optimize the parameters
of the fuzzy TSK model. The obtained TSK model reflected the data trend and was able to capture the synergistic interaction
between propofol and remifentanil during the maintenance phase of anesthesia. The model was trained with the data of two
patients and tested with the data of a third patient. Different patients have different physiological responses and this preliminary
study results suggested that the BIS values were independent of patients’ variability. This result should be improved using a
larger set of data with more patients.
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Pedagogical Context
Citation
Nunes, Catarina S. et al. ‘Neuro-fuzzy Techniques to Model Pharmacodynamic Interactions Between Anesthetic Drugs on the Bispectral Index: A Preliminary Study’. 1 Jan. 2005 : 15 – 22. Print.