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Titolo:
Quadratic binary programming and dynamical system approach to determine the predictability of epileptic seizures
Autore:
Iasemidis, LD; Pardalos, P; Sackellares, JC; Shiau, DS;
Indirizzi:
Arizona State Univ, Tempe, AZ 85287 USA Arizona State Univ Tempe AZ USA 85287 ona State Univ, Tempe, AZ 85287 USA Univ Florida, Gainesville, FL 32611 USA Univ Florida Gainesville FL USA 32611 Florida, Gainesville, FL 32611 USA
Titolo Testata:
JOURNAL OF COMBINATORIAL OPTIMIZATION
fascicolo: 1, volume: 5, anno: 2001,
pagine: 9 - 26
SICI:
1382-6905(200103)5:1<9:QBPADS>2.0.ZU;2-A
Fonte:
ISI
Lingua:
ENG
Soggetto:
TEMPORAL-LOBE EPILEPSY; CEREBRAL GLUCOSE-METABOLISM; BRAIN ELECTRICAL-ACTIVITY; INVASIVE EEG RECORDINGS; TIME-SERIES ANALYSIS; STRANGE ATTRACTORS; NONLINEAR-ANALYSIS; INFORMATION; COMPLEXITY; EXPONENTS;
Keywords:
epileptic seizures; Lyapunov exponents; entrainment; T-statistic; optimization;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Engineering, Computing & Technology
Citazioni:
67
Recensione:
Indirizzi per estratti:
Indirizzo: Iasemidis, LD Arizona State Univ, Tempe, AZ 85287 USA Arizona State Univ Tempe AZ USA 85287 , Tempe, AZ 85287 USA
Citazione:
L.D. Iasemidis et al., "Quadratic binary programming and dynamical system approach to determine the predictability of epileptic seizures", J COMB OPTI, 5(1), 2001, pp. 9-26

Abstract

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

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 23/01/20 alle ore 12:13:44