Tatjana Zikov

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This paper reports on a novel method for quantifying the cortical activity of a patient during general anesthesia as a surrogate measure of the patient's level of consciousness. The proposed technique is based on the analysis of a single-channel (frontal) electroencephalogram (EEG) signal using stationary wavelet transform (SWT). The wavelet coefficients(More)
This paper investigates the use of wavelet decomposition of the electroencephalogram (EEG) to assess the hypnotic state of anesthetized patients undergoing surgery. A single case study and a comparison with an existing monitor of hypnosis are presented. The proposed technique can differentiate clearly between the anesthetized state and the awake “baseline”(More)
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