Abstract: Embodiments of the invention relate to correlation of physiological data from two or more sources in real-time. As data is gathered from one or more remote physiological sensors, evaluation of associated physiological data takes place in real-time. The sensor data is correlated with other forms of data including objective physiological data, subjective physiological data, cognitive data, and/or quantitative input for multi-variate data analytics to assess and correlate the data. Alerts are generated, applications are activated, and windows are created to support the correlation and associated communication.

Abstract: Embodiments of the invention relate to correlation of physiological data from two or more sources in real-time. As data is gathered from one or more remote physiological sensors, evaluation of associated physiological data takes place in real-time. The sensor data is correlated with other forms of data including objective physiological data, subjective physiological data, cognitive data, and/or quantitative input for multi-variate data analytics to assess and correlate the data. Alerts are generated, applications are activated, and windows are created to support the correlation and associated communication.

Abstract: The embodiments relate to a distributed marsupial robotic system. The system includes a parent component having a sensor suite to obtain and process environment data via a parent pattern classification algorithm, and one or more child components each having a sensor suite to obtain and process environment data via a child pattern classification algorithm. Each sensor suite includes one or more sensor devices in communication with a processing unit and memory. Each child component is configured to dock to the parent component, and to separate from the parent component in response to a deployment signal. Each child component obtains environment data during separation. The parent component is configured to construct a map of the environment by receiving and integrating the data obtained by each child component.

Abstract: Embodiments of the invention relate to correlation of physiological data from two or more sources in real-time. As data is gathered from one or more remote physiological sensors, evaluation of associated physiological data takes place in real-time. The sensor data is correlated with other forms of data including objective physiological data, subjective physiological data, cognitive data, and/or quantitative input for multi-variate data analytics to assess and correlate the data. Alerts are generated, applications are activated, and windows are created to support the correlation and associated communication.