Quadratic Binary Programming and Dynamical System Approach to Determine the Predictability of Epileptic Seizures

作者: L.D. Iasemidis , P. Pardalos , J.C. Sackellares , D.-S. Shiau

DOI: 10.1023/A:1009877331765

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摘要: Epilepsy is one of the most common disorders nervous system. The progressive entrainment between an epileptogenic focus and normal brain areas results to transitions from chaotic less spatiotemporal states, epileptic seizures. two sites can be quantified by T-index measures chaos (e.g., Lyapunov exponents) electrical activity (EEG) brain. By applying optimization theory, in particular quadratic zero-one programming, we were able select entrained 10 minutes before seizures subsequently follow their over 2 hours In five patients with 3–24 seizures, found that 90% are predictable optimal selection electrode sites. This procedure, which applied epilepsy research for first time, shows possibility prediction well advance (19.8 42.9 minutes) occurrence.

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