Aksenova Tatyana I, Volkovych Vladimir V, Villa Alessandro E P
Inserm U318, Laboratoire de Neurosciences Précliniques, Grenoble, France.
J Neural Eng. 2007 Sep;4(3):173-8. doi: 10.1088/1741-2560/4/3/001. Epub 2007 Apr 4.
The study of EEG recordings during the interval prior to an epileptic seizure onset--the preictal period--is likely to detect changes in the ongoing brain activity consistent with seizure anticipation. A novel index of spectral instability (ISpI) based on multiple abrupt changes of EEG spectral features is presented here. Based on the analysis of control records, robust M-estimates are used to calculate the threshold and avoid false warnings. The results obtained with a small data set (three patients, ten preictal records per patient) have shown that the ISpI index provided a warning flag that anticipated the seizure onset by 13.1 (SD = 4.0) min on average.
对癫痫发作开始前的间期——发作前期——进行脑电图（EEG）记录研究，可能会检测到与发作预期一致的正在进行的脑活动变化。本文提出了一种基于EEG频谱特征多次突然变化的频谱不稳定性新指标（ISpI）。基于对照记录的分析，使用稳健的M估计来计算阈值并避免误报。使用一个小数据集（三名患者，每位患者十份发作前期记录）获得的结果表明，ISpI指标提供了一个预警信号，平均提前13.1（标准差=4.0）分钟预测癫痫发作开始。
