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The manual control of anaesthesia is still the dominant practice during surgery. An increasing number of studies have been conducted to explore the possibility of automating this process. The major difficulty in the design of closed-loop control during anaesthesia is the inherent patient variability due to differences in demographic and drug tolerance. These discrepancies are translated into the differences...
In this study, two methods. Auditory evoked potential (AEP) and bispectrum, based on EEG signal processing are employed in monitoring depth of anaesthesia. Auditory evoked potential is obtained using wavelet analysis in order to achieve a fast extraction. Both AEP and bispectrum methods show good relativity with the depth of anaesthesia. Besides, both methods are integrated in a software developed...
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