Automated classification of stages of anaesthesia by populations of evolutionary optimized fuzzy rules

C. Walther, A. Wenzel, M. Schneider, M. Trommer, K.-P. Sturm, U. Jaeger
2015 Current Directions in Biomedical Engineering  
AbstractThe detection of stages of anaesthesia is mainly performed on evaluating the vital signs of the patient. In addition the frontal one-channel electroencephalogram can be evaluated to increase the correct detection of stages of anaesthesia. As a classification model fuzzy rules are used. These rules are able to classify the stages of anaesthesia automatically and were optimized by multiobjective evolutionary algorithms. As a result the performance of the generated population of fuzzy rule
more » ... ation of fuzzy rule sets is presented. A concept of the construction of an autonomic embedded system is introduced. This system should use the generated rules to classify the stages of anaesthesia using the frontal one-channel electroencephalogram only.
doi:10.1515/cdbme-2015-0020 fatcat:4dzjt52vnvdetf5y4c5gvz2eiy