Abstract: A computer-implemented method for forecasting weather uses a trained machine learning model to determine the error in a weather forecast, e.g., for a selected ocean region. The machine learning model is configured to determine the predicted forecasting error given the weather forecast and a set of existing conditions. The weather forecast is adjusted using the predicted forecasting error to produce an augmented weather forecast. Training the machine learning model may include the utilization of hindcasting methods. Determination of existing conditions and other modeling may include the use of data from an array of metocean sensor nodes dispersed on a body of water.

Abstract: A real-time metocean sensor array system may include a one or more floating instruments each including geolocation capabilities and connected to a satellite communication network. In some examples, the floating instruments may further include an omnidirectional hydrophone. Motion and acoustical data gathered by the instruments may be converted by onboard processing logic into wave, current, and/or wind-related observations that may be communicated in real time and analyzed via a cloud-based system.

Abstract: A real-time metocean sensor array system may include a one or more floating instruments each including geolocation capabilities and connected to a satellite communication network. In some examples, the floating instruments may further include an omnidirectional hydrophone. Motion and acoustical data gathered by the instruments may be converted by onboard processing logic into wave, current, and/or wind-related observations that may be communicated in real time and analyzed via a cloud-based system.

Abstract: A real-time metocean sensor array system may include a one or more floating instruments each including geolocation capabilities and connected to a satellite communication network. In some examples, the floating instruments may further include an omnidirectional hydrophone. Motion and acoustical data gathered by the instruments may be converted by onboard processing logic into wave, current, and/or wind-related observations that may be communicated in real time and analyzed via a cloud-based system.

Abstract: A robot includes at least one actuator or motor and a processor configured to represent the task as a meta-node having a meta start space representing starting configurations and a meta end space representing ending configurations. The meta-node may be parallel including a first sub-node and a second sub-node each having a start space within the meta start space and an end space within the meta end space. The meta-node may also be a repetition meta-node including a third sub-node having a start space within the meta start space and an end space outside of the meta end space such that the meta end space is reached by multiple executions of the third sub-node. The processor may also simulate the task by executing the meta-node and instruct the actuator to actuate the portion of the robot based on the simulation.

Abstract: The disclosure is directed toward an infusion catheter epidural system comprising a portable infusion pump configured to administer a combination of anesthetics and corticosteroid at a predetermined rate over a predetermined time. A catheter is fluidly coupled to the portable infusion pump. The catheter is configured to be maneuvered into a site of inflammation of a patient to deliver the combination of anesthetics and corticosteroid. The portable pump and the catheter are configured for attachment to the patient.

Abstract: A pulse monitoring and warning method and system comprising a sensor disposable over an individual's heart and configured to sense a heart rate, the sensor configured to transmit a wireless signal; and a monitor configured to continuously receive a wireless signal from the sensor, the monitor configured to process the signal and produce an alert indication responsive to the heart rate falling below a predetermined level. The system and method employ a QRS detection algorithm, which includes several mechanisms for minimizing the impact of amplitude fluctuation, EMG interference and P/T segment interference. These mechanisms include a variable QRS detection threshold algorithm, a variable QRS search window algorithm, a QRS segment slope/width detector algorithm, and a QRS reacquisition procedure.

Abstract: A surgical sponge identification system for a set of surgical sponges comprising each sponge in the set having an exterior surface, each sponge bearing on the exterior surface a unique indicium from a set of indicia uniquely identifying the set.