Correlation dimension and integral do not predict epileptic seizures
Correlation dimension and integral do not predict epileptic seizures
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作者：
Harrison, MAF;Osorio, I;Lai, YC
文献报告表明相关积分和维度对于预测电图发作前几分钟的癫痫发作具有潜在价值。我们将这些措施应用于 20 名癫痫患者总共 2000 多个小时的连续皮层电图，检查其对信号幅度和自相关等可量化特性的敏感性，并研究嵌入和过滤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，相关维数和相关积分都没有对癫痫发作的预测能力。 (C) 2005 年美国物理研究所。
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. (C) 2005 American Institute of Physics.