【摘要】 目的探索癫痫患者发作间期的脑电信号所具有的特征性异常。方法纳入2014年12月至2018年6月成都市第一人民医院神经内科行长程视频脑电图的30例癫痫患者,提取发作间期脑电数据,通过傅里叶变换、核主成分分析、聚类分析、动态时间归整(DTW)算法等数学工具展开研究。结果通过聚类分析,共8例患者可纳入目标亚群,采用DTW算法得出目标亚群中F8导联α频带的波形相似度最高,从而提取出共有的特征性波形:α波簇样出现。结论该方法可用于探索癫痫患者亚群及其发作间期特征波形,为癫痫的诊断及痫性发作机制的研究提供了新的思路。更多还原

【Abstract】 Objective To explore the characteristic abnormalities of electroencephalogram(EEG) signals in patients with epilepsy during the interictal periods. Methods The study included 30 epileptic patients undergoing long-range vedio-EEG from December 2014 to June 2018 in Department of Neurology, Chengdu First People’s Hospital.The data were extracted from the interictal periods of epileptic patients. The study was carried out using mathematical tools, including Fourier transform, Kernel principal component analysis, cluster analysis, and dynamic time warping(DTW). Results Through cluster analysis, 8 patients were clarified into a subgroup. The α band of F8 montage in this subgroup had the highest waveform similarity by using DTW algorithm. Then, the common characteristic waveforms were extracted: α waves appeared as clusters. Conclusion This method can be used to explore the subgroups of epileptic patients, and extract the common characteristic waveforms in interictal periods. It provides a new approach for the diagnosis and the mechanism study of epilepsy.更多还原