| US 7,461,045 B1 | ||
| Optimization of spatio-temporal pattern processing for seizure warning and prediction | ||
| Wanpracha A. Chaovalitwongse, Hillsborough, N.J. (US); Leonidas D. Iasemidis, Scottsdale, Ariz. (US); Panos M. Pardalos, Gainesville, Fla. (US); James C. Sackellares, Gainesville, Fla. (US); and Deng-Shan Shiau, Gainesville, Fla. (US) | ||
| Assigned to University of Florida Research Foundation, Inc., Gainesville, Fla. (US); and Arizona Board of Regents, Scottsdale, Ariz. (US) | ||
| Filed on Aug. 18, 2004, as Appl. No. 10/920,446. | ||
| Claims priority of provisional application 60/495702, filed on Aug. 18, 2003. | ||
| Int. Cl. G06F 9/44 (2006.01); G06N 7/02 (2006.01); G06N 7/06 (2006.01) | ||
| U.S. Cl. 706—52 | 18 Claims |
| 1. 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.
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