Patient Monitoring System For Detecting Adverse Clinical Conditions

摘要

A patient monitoring system receives time series matrices, detects perturbations, extracts a set of features of the perturbations. The system also converts each perturbation into at least one object, links the features of each perturbation with the object into which the perturbation was converted, and formats the objects and the features into a time series of feature linked objects. The system includes an image recognizer programmed to receive the time series of feature linked objects, and detect an image comprised of at least three objects in timed relation to each other to generate an output indicative of the potential presence of the target condition in response to the detection of the image.