ANFIS Based Model for Bispectral Index Prediction

  • Jing Jing Chang
  • S. Syafiie
  • Raja Kamil Raja Ahmad
  • Thiam Aun Lim
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 287)

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.

Keywords

anesthesia modeling PKPD neuro-fuzzy 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jing Jing Chang
    • 1
  • S. Syafiie
    • 1
  • Raja Kamil Raja Ahmad
    • 2
  • Thiam Aun Lim
    • 3
  1. 1.Department of Chemical and Environmental EngineeringUniversiti Putra MalaysiaSerdangMalaysia
  2. 2.Department of Electrical and Electronic EngineeringUniversiti Putra MalaysiaSerdangMalaysia
  3. 3.Anaesthesiology Unit, Department of SurgeryUniversiti Putra MalaysiaSerdangMalaysia

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