Proposing New Methods to Determine Depth of Anesthesia

In each surgical operation, monitoring the depth of anesthesia is vital for anesthesiologists. Several methods have been suggested to determine quantitative indices for depth of anesthesia. In this study, to make the index more robust, a beneficial EEG signal preprocessing method and also two efficient methods have been proposed to estimate the depth index during the surgery. To validate the introduced index, the proposed methods are applied to EEG signals of 22 people (1870 epochs) during the surgery and their determined indices are compared to BIS index which is now a reference in anesthesia monitoring. Experimental results showed that the proposed methods can precisely classify the different anesthesia levels of 1870 epochs. Moreover, the results were compared with BIS which shows highly correlated to the Bispectral index (BIS).