US 7,461,045 B1 · Optimization of spatio-temporal pattern processing for seizure warning and prediction

Abstract

An exemplary method for analyzing behavior of a system includes receiving dynamical measurement data regarding the system, applying a quadratically constrained quadratic 0-1 problem to identify data among the received data, and storing the identified data. An exemplary seizure warning method includes continuously calculating STLmax values, identifying critical sites by applying a quadratically constrained quadratic 0-1 solution to data (e.g. STLmax profiles) derived from pre-seizure onset and post-seizure onset EEG signals, monitoring a T-index curve of the identified critical sites, warning of an impending seizure, observing a seizure and then repeating the cycle by identifying critical sites using the new data, and then monitoring them.

Claims18

Dependent claims

A computer-implemented method for predicting an impending seizure, comprising:

receiving dynamical measurement data regarding the system;
applying a quadratically constrained quadratic 0-1 program to identify data components among the received data, wherein the applying comprises linearizing the quadratically constrained quadratic 0-1 program, and wherein the linearizing comprises introducing a new 0-1 variable for each product of two variables and then formulating the quadratically constrained quadratic 0-1 program as a linear 0-1 problem;
storing the identified data components;
and
predicting an impending seizure based on the identified data components.

2 more elements

Dependencies are inferred from the claim text.

Optimization of spatio-temporal pattern processing for seizure warning and prediction

Life of this patent

Optimization of spatio-temporal pattern processing for seizure warning and prediction

Life of this patent

Abstract

Claims18