Abstract
Prediction of depth of hypnosis is important in administering optimal anaesthesia during surgical procedure. However, the effect of anaesthetic drugs on human body is a nonlinear time variant system with large inter-patient variability. Such behaviours often caused limitation to the performance of conventional model. This paper explores the possibility of using the Adaptive Neuro-Fuzzy Inference System (ANFIS) to create a model for predicting Bispectral Index (BIS). BIS is a well-studied indicator of hypnotic level. Propofol infusion rate and past values of BIS were used as the input variables for modelling. Result shows that the ANFIS model is capable of predicting BIS very well.
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Chang, J.J., Syafiie, S., Ahmad, R.K.R., Lim, T.A. (2014). ANFIS Based Model for Bispectral Index Prediction. In: Herawan, T., Ghazali, R., Deris, M. (eds) Recent Advances on Soft Computing and Data Mining. Advances in Intelligent Systems and Computing, vol 287. Springer, Cham. https://doi.org/10.1007/978-3-319-07692-8_13
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DOI: https://doi.org/10.1007/978-3-319-07692-8_13
Publisher Name: Springer, Cham
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