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TECHNOLOGY, COMPUTING, AND SIMULATION

Electroencephalogram Monitoring During Anesthesia with Propofol and Alfentanil: The Impact of Second Order Spectral Analysis

Department of Anesthesiology, University of Erlangen-Nuremberg, Germany

Address correspondence and reprint requests to Christian Jeleazcov, MD, Klinik fuer Anaesthesiologie, Krankenhausstr. 12, D-91054 Erlangen. Address e-mail to christian.jeleazcov{at}kfa.imed.uni-erlangen.de.

Bispectral analysis of the electroencephalogram (EEG) has been used for monitoring anesthesia. The estimation of bicoherence allows us to determine whether a given time series represents a linear random process in cases where the bicoherence is trivial, i.e., a mere constant independent of frequency. In this study, we investigated the proportion of EEG epochs with nontrivial bicoherence during surgical anesthesia with propofol and alfentanil as an indicator for the degree of nonlinearity in the EEG. We reanalyzed 90 h of EEG recorded from 20 patients undergoing abdominal surgery using the Hinich procedure, which provides a statistical test for the following hypothesis: the EEG is a linear random process. In approximately 90% of all artifact-free, stationary EEG epochs, the bicoherence was found to be zero or a mere constant. Under these conditions, the EEG can be considered as a linear random process. Our findings suggest that the spectral information in the frequency domain delivered by the EEG monitoring during anesthesia is largely contained in the power spectrum of the signal. This calls into question the benefit of EEG bispectral analysis for monitoring anesthesia effect.

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