Dynamical approaches and multi-quadratic integer programming for seizure prediction

被引：11
|
作者：
Chaovalitwongse, W
Pardalos, PM
Iasemidis, LD
Shiau, DS
Sackellares, JC
机构：
[1] Univ Florida, McKnight Brain Inst, Dept Neurosci, Gainesville, FL 32611 USA
[2] Univ Florida, Dept Ind & Syst Engn, Gainesville, FL 32611 USA
[3] Univ Florida, Dept Comp Sci, Gainesville, FL 32611 USA
[4] Univ Florida, Dept Biomed Engn, Gainesville, FL 32611 USA
[5] Univ Florida, Dept Neurol, Gainesville, FL 32611 USA
[6] Univ Florida, Ctr Appl Optimizat, Gainesville, FL 32611 USA
[7] Malcolm Randall VA Med Ctr, Gainesville, FL USA
[8] Arizona State Univ, Dept Biomed Engn, Tempe, AZ USA
[9] Arizona State Univ, Ctr Syst Sci & Engn Res, Tempe, AZ USA
来源：
OPTIMIZATION METHODS & SOFTWARE | 2005年 / 20卷 / 2-3期
关键词：
multi-quadratic 0-1 programming problem; dynamical approaches; EEG; seizure prediction;
D O I：
10.1080/10556780512331318173
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
In this article, we present dynamical approaches and multi-quadratic integer programming techniques to study the problem of seizure prediction. The data used in our studies consist of continuous intracranial electroencephalograms (EEGs) from patients with temporal lobe epilepsy. The results of this study can be used as a criterion to pre-select the critical electrode sites that can be used to predict epileptic seizures.
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页码：383 / 394
页数：12
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