Abstract: The invention provides novel closed-loop neuroprosthetic devices and systems for preventing seizures in which control of the delivery of therapeutic electrical stimulation to a neural structure being monitored is determined by the dynamical electrophysiological state of the neural structure. In certain embodiments, a controller which generates predetermined control input is activated based on an Automated Seizure Warning system. Other embodiments of the systems and methods encompass direct control systems wherein the controller design is based on chaos theory. Yet other versions embody model-based control systems in which controller design is based on a model that represents the relationship between the control input and the dynamical descriptor.

Abstract: Techniques for investigating dynamical behavior of complex systems for monitoring, diagnosing, and predicting future behavior and trends are presented. A method includes generating a multi-dimensional representation for each signal acquired from corresponding channels of a multi-dimensional system, and generating dynamical profiles for each channel in accordance with one of multiple dynamical metrics. The method includes calculating multiple first statistical measures for a group of the channels that reflect a level of interaction among the channel group associated with at least one of the metrics. The method includes calculating in an initialization period a second statistical measure for each of the first statistical measures that reflect the association of the first statistical measures with related occurrences under investigation.