从癫痫EEG数据中鉴别发作前期和发作间期的复发测量方法的评价
Evaluation of selected recurrence measures in discriminating pre-ictal and inter-ictal periods from epileptic EEG data
摘要：
我们调查的适用性，选择措施的复杂性的基础上复发量化分析和复发网络识别癫痫发作前的状态，在多天，多通道，侵入性脑电图记录从5名癫痫患者。我们采用了几种统计技术，以避免由于各种影响因素和多重比较造成的假结果，并观察了三例患者的血管结构。我们的研究结果表明，在识别癫痫发作前兆的措施之间的高度一致性，并强调了目前的概念，在大规模的癫痫网络癫痫发作一代。然而，对田间研究适用性的最终判断需要在更大的数据库上进行评价。
英文摘要：
We investigate the suitability of selected measures of complexity based on recurrence quantification analysis and recurrence networks for an identification of pre-seizure states in multi-day, multi-channel, invasive electroencephalographic recordings from five epilepsy patients. We employ several statistical techniques to avoid spurious findings due to various influencing factors and due to multiple comparisons and observe precursory structures in three patients. Our findings indicate a high congruence among measures in identifying seizure precursors and emphasize the current notion of seizure generation in large-scale epileptic networks. A final judgment of the suitability for field studies, however, requires evaluation on a larger database.
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