Bionova Technologies Inc.

Bernard Ansell Macleod

Guy A Dumont

Mihai Huzmezan

Ernest Puil

Tatjana Zikov

Stéphane Bibian

Craig Robert Ries

Hossain Cyrus Ahmadi

Hosaain Cyrus Ahmadi

A method and apparatus to monitor the neurologic state of a patient undergoing general anesthesia is provided. Previous automated systems to monitor the neurologic state of a patient undergoing general anesthesia involve a significant time delay between the patient's true hypnotic state and the computed indices. The present invention reduces this time delay by using a different analysis technique applied to spontaneous EEG. A wavelet decomposition and statistical analysis of the observed EEG is conducted and compared to reference data to provide a numerical indicator. In addition, this indicator is more consistent with the patient's loss of consciousness indicated by the loss of count event than previous systems.

Method and apparatus for the estimation of anesthetic depth using wavelet analysis of the electroencephalogram

A method and apparatus to monitor and control the anesthesia state of a patient undergoing general anesthesia is provided. Previous automated systems to monitor the anesthesia state of a patient undergoing general anesthesia involve a significant time delay between the patient's true anesthesia state and the computed indices. The present invention reduces this time delay by using a novel analysis technique applied to spontaneous electrophysiological activity. A transformation and statistical analysis of the observed electrophysiological activity is conducted and compared to reference data to provide numerical indicators. In addition, these indicators are consistent with the levels of depression of patients CNS and ANS states. This method is illustrated in detail by CNS monitoring of electroencephalogram signals.

Method and apparatus for the estimation of anesthesia depth

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Vancouver, Canada

Bernard Ansell Macleod