Non-linear control for anaesthetic depth using neural networks and regression
D.A. Linkens, H.U. Rehman · 2003
The control of depth of anesthesia using artificial neural networks (ANNs) is discussed. The backpropagation algorithm is used to train the network on surgical data. The same technique is used to simulate a model of a patient under the effect of an anesthetic agent. An alternate controller and a patient model (PM) are developed by means of regression analysis of surgical data. The ANN controller and the ANN-PM are studied under closed-loop conditions, and the results are compared with those obtained by regression.>