ESTIMATION OF ANESTHESIA DEPTH BASED ON THE COMBINED USE OF TIME AND FREQUENCY DOMAIN EEG PARAMETERS

The possibility of anesthesia depth estimation based on both time and frequency domain electroencephalogram (EEG) quantitative parameters is considered. The following EEG indexes are analyzed: spectral edge frequency (SEF95), burst-suppression ratio (BSR), relative beta ratio (RBR) and spectral entropy (SE). The initial data for the study are the EEG re-cordings obtained from the electrodes located on the forehead of the patient during the operation. Propofol was used as an anesthetic. To implement the algorithm and experiments, MATLAB programming environment was used. The Fisher test was used as an indicator of effectiveness. It was shown that combined use of the listed above parameters demonstrates much better performance than each of them separately.

Authors: . A. Al-Ghaili, A. N. Kalinichenko

Direction: Bioengineeringl Systems in Medicine and Ecology

Keywords: EEG, Estimation of depth of anesthesia, Spectral entropy, BIS-index

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