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Monitoring the effect of anesthetic drug on the neural system is an ongoing challenge for anesthetists. Several methods based on the electroencephalogram (EEG) have been proposed to estimate the depth of anesthesia (DoA); for instance, the Fourier-based time–frequency balanced spectral entropy as implemented in the Datex-Ohmeda M-Entropy Module. In this paper, a novel method based on Hilbert–Huang transform is proposed to calculate a spectral entropy value, called Hilbert–Huang spectral entropy and is applied to EEG recordings during sevoflurane anesthesia. The dose–response relation of Hilbert–Huang spectral entropy during sevoflurane anesthesia is presented.

We analyzed a previously collected set of EEG data, obtained from 14 patients’ during the induction of general anesthesia with sevoflurane. The Hilbert–Huang spectral entropy and the Datex-Ohmeda M-Entropy …