Abstract: 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.
Type:
Grant
Filed:
August 31, 2009
Date of Patent:
August 5, 2014
Assignee:
Bionova Technologies Inc.
Inventors:
Stéphane Bibian, Tatjana Zikov, Guy Albert Dumont, Craig Robert Ries, Ernest Puil, Hossain Cyrus Ahmadi, Mihai Huzmezan, Bernard Ansell Macleod
Abstract: The present invention relates to a method of signal processing of electrograms for use in medical devices, preferably by time-frequency transforms. The present invention additionally relates to a system for receiving and analyzing such signals. The present invention preferably is a method utilizing the time-frequency transforms, such as wavelet transforms, for the purpose of artifact removal from EGs. These transforms decompose a signal in both time and frequency domains, and therefore, are well suited for non-stationary signal analysis. As a result, dissimilar signal features are well localized both in time and frequency, which potentially provides a good separation between the signal of interest and artifacts. This particularly applies to large-amplitude artifacts corrupting EGs.
Type:
Grant
Filed:
October 19, 2004
Date of Patent:
March 2, 2010
Assignee:
Bionova Technologies Inc.
Inventors:
Tatjana Zikov, Stephane Bibian, Guy Albert Dumont, Mihai Huzmezan, Craig Robert Ries
Abstract: 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.
Type:
Grant
Filed:
April 17, 2008
Date of Patent:
October 13, 2009
Assignee:
BioNova Technologies Inc.
Inventors:
Stéphane Bibian, Tatjana Zikov, Guy Albert Dumont, Craig Robert Ries, Ernest Puil, Hosaain Cyrus Ahmadi, Mihai Huzmezan, Bernard Ansell MacLeod
Abstract: 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.
Type:
Grant
Filed:
July 11, 2003
Date of Patent:
May 13, 2008
Assignee:
Bionova Technologies Inc.
Inventors:
Stéphane Bibian, Tatjana Zikov, Guy Albert Dumont, Craig Robert Ries, Ernest Puil, Hossain Cyrus Ahmadi, Mihai Huzmezan, Bernard Ansell Macleod
Abstract: 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.
Type:
Application
Filed:
July 11, 2003
Publication date:
January 15, 2004
Applicant:
Bionova Technologies Inc.
Inventors:
Stephane Bibian, Tatjana Zikov, Guy Albert Dumont, Craig Robert Ries, Ernest Puil, Hossain Cyrus Ahmadi, Mihai Huzmezan, Bernard Ansell Macleod