Hierarchical fuzzy-based support system for anaesthesia monitoring and control

The paper describes research into a novel hierarchical architecture for fuz zy logic monitoring and control of intravenous anaesthesia with two main ob jectives. The primary task is to utilise auditory evoked response signals f or augmenting cardiovascular and body function signs into a multisensor fuz zy model-based fusion strategy for anaesthesia monitoring and control. The secondary task is to extend an existing fuzzy patient model for use as a tr aining simulator via computer-based models. This demonstrates a totally fuz zy-logic-based architecture for manipulating complex procedures on a comple x process (i.e. hospital patients).