Abstract: A method for analyzing respiratory kinematics includes collecting a plurality of kinematic signal data streams from each of a respective plurality of inertial sensor devices applied to a subject, wherein the kinematic signal data streams are synchronized with each other, transforming the plurality of kinematic signal data streams into a respective plurality of analytic signals, determining landmark points associated with each of the plurality of analytic signals to identify individual breathing intervals associated with each of the plurality of inertial sensor devices, and analyzing two or more of the individual breathing intervals to establish a magnitude-synchronicity relationship that is utilized to determine a probability of a presence of a respiratory condition existing in the subject.

Abstract: System and techniques for cyber-physical system defense are described herein. Sensor disagreements between a plurality of sensors over time can be sampled. Cluster analysis on the sampled sensor disagreements can be performed. A deviation indication can be provided in response to the cluster analysis resulting in disagreement density beyond a threshold.

Abstract: System and techniques for cyber-physical system defense are described herein. Sensor disagreements between a plurality of sensors over time can be sampled. Cluster analysis on the sampled sensor disagreements can be performed. A deviation indication can be provided in response to the cluster analysis resulting in disagreement density beyond a threshold.