Harrison Mary Ann F, Osorio Ivan, Frei Mark G, Asuri Srividhya, Lai Ying-Cheng
Flint Hills Scientific L.L.C., 5020 Bob Billings Parkway, Suite A, Lawrence, Kansas 66049, USA.
Chaos. 2005 Sep;15(3):33106. doi: 10.1063/1.1935138.
Reports in the literature have indicated potential value of the correlation integral and dimension for prediction of epileptic seizures up to several minutes before electrographic onset. We apply these measures to over 2000 total hours of continuous electrocortiogram, taken from 20 patients with epilepsy, examine their sensitivity to quantifiable properties such as the signal amplitude and autocorrelation, and investigate the influence of embedding and filtering strategies on their performance. The results are compared against those obtained from surrogate time series. Our conclusion is that neither the correlation dimension nor the correlation integral has predictive power for seizures.
文献报道表明,关联积分和维度对于在脑电图发作前几分钟预测癫痫发作具有潜在价值。我们将这些方法应用于来自20例癫痫患者的超过2000小时的连续脑皮层电图,研究它们对诸如信号幅度和自相关等可量化特性的敏感性,并探讨嵌入和滤波策略对其性能的影响。将结果与从替代时间序列获得的结果进行比较。我们的结论是,关联维度和关联积分都没有癫痫发作预测能力。