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 of electromechanical energy harvesting includes sensing electrical current generated by relative movement of a coil and a magnetic flux source produced by movement of a cantilevered beam in response to ambient vibration energy, determining a vibration characteristic of the ambient vibration energy, and adjusting an effective flexible length of the cantilevered beam as a function of the vibration characteristic and the sensed electrical current.

Abstract: A controller for controlling a combined heat and power (CHP) system which can include one or more CHP units, can comprise a high level optimizer and one or more low level optimizers. The high level optimizer can be configured to optimize a total cost of producing heating, cooling, and electric power, by allocating total heating, cooling, and/or electric power setpoints one or more CHP unit types, based on the fuel price, CHP unit operational constraints, and/or heating, cooling, and/or electric power demand. The low level optimizer can be configured to allocate cooling, heating, and/or electric power setpoints to individual CHP units, based on the high level allocation to CHP unit types.

Abstract: A method of electromechanical energy harvesting includes sensing electrical current generated by relative movement of a coil and a magnetic flux source produced by movement of a cantilevered beam in response to ambient vibration energy, determining a vibration characteristic of the ambient vibration energy, and adjusting an effective flexible length of the cantilevered beam as a function of the vibration characteristic and the sensed electrical current.

Abstract: An ambient energy harvesting system, and method of use thereof, includes a magnetic flux-generating assembly (28), a coil (30) positioned adjacent to the magnetic flux-generating assembly (28), and a cantilevered arm (24). Vibration of the cantilevered arm (24) enables relative movement between the magnetic flux-generating assembly (28) and the coil (30) to generate an electric current in the coil (30). An effective flexible length (L) of the cantilevered arm (24) is selected such that applied kinetic energy causes the cantilevered arm (24) to vibrate at approximately its resonant frequency.

Abstract: Aspects of the invention provide systems and methods for controllably adjusting the circadian pacemaker cycle of a subject using light (or other stimulus) through application of model-based predictive control techniques. This approach allows the use of closed-loop feedback to compensate for modeling errors, unknown initial conditions and disturbances. It also allows an optimal level of light (or other stimulus) to be generated based on minimization of a cost function. The cost function may incorporate a term associated with tracking errors and a term associated with the amount of light used. The tracking function may be minimized subject to one or more constraints which may include a minimum and maximum amount of light (or other stimulus).

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.

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: An ambient energy harvesting system, and method of use thereof, includes a magnetic flux-generating assembly (28), a coil (30) positioned adjacent to the magnetic flux-generating assembly (28), and a cantilevered arm (24). Vibration of the cantilevered arm (24) enables relative movement between the magnetic flux- generating assembly (28) and the coil (30) to generate an electric current in the coil (30). An effective flexible length (L) of the cantilevered arm (24) is selected such that applied kinetic energy causes the cantilevered arm (24) to vibrate at approximately its resonant frequency.

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: Aspects of the invention provide systems and methods for controllably adjusting the circadian pacemaker cycle of a subject using light (or other stimulus) through application of model-based predictive control techniques. This approach allows the use of closed-loop feedback to compensate for modeling errors, unknown initial conditions and disturbances. It also allows an optimal level of light (or other stimulus) to be generated based on minimization of a cost function. The cost function may incorporate a term associated with tracking errors and a term associated with the amount of light used. The tracking function may be minimized subject to one or more constraints which may include a minimum and maximum amount of light (or other stimulus).

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: The present invention provides a method and apparatus for adaptive control which models marginally stable systems by creating a reference or disturbance model to account for the slope of the process variable being constant for different control inputs to the process.

Abstract: The present invention provides a method and apparatus for adaptive control which models marginally stable systems by creating a reference or disturbance model to account for the slope of the process variable being constant for different control inputs to the process.