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.

Abstract: Compositions comprising cyclic amino acids or pharmaceutically acceptable salts thereof and a pharmaceutically acceptable carrier. Said compositions are for use in the treatment of pain. Pain includes both acute and chronic forms of pain. The preferred cyclic amino acid is 1-aminocyclobutane-1-carboxylic acid (ACBC).

Abstract: The invention provides for the use of isovaline or a pharmaceutically acceptable salt thereof for the treatment of Pain in a mammalian subject in some preferred embodiments, the invention provides for the treatment of acute and chronic Pain syndromes where other drug therapies have limited efficacy or unacceptable toxicity in said subject.

Abstract: Compositions comprising cyclic amino acids or pharmaceutically acceptable salts thereof and a pharmaceutically acceptable carrier. Said composition are for use in the treatment of pain. Pain includes both acute and chronic forms of pain. The preferred cyclic amino acid is 1-aminocyclobutane-1-carboxylic acid (ACBC).

Abstract: The invention provides for the use of isovaline or a pharmaceutically acceptable salt thereof for the treatment of Pain in a mammalian subject in some preferred embodiments, the invention provides for the treatment of acute and chronic Pain syndromes where other drug therapies have limited efficacy or unacceptable toxicity in said subject.

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.

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 patients 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.

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.

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.