CAJ | 학술논문

目的：探究不同病程缺血性脑卒中患者脑电图（EEG）非线性复杂度特征。方法对20例不同病程的缺血性脑卒中患者及10例健康人各频段EEG信号进行样本熵特征提取及统计学分析。结果脑卒中患者全频段EEG信号样本熵在大部分导联处显著小于健康人；不同病程卒中患者α频段样本熵在额叶、颞叶及枕叶差异具有统计学意义（P<0.05），部分导联处α频段样本熵与卒中后时间显著线性负相关。结论缺血性脑卒中患者存在异常神经元放电活动，利用样本熵探究脑卒中患者EEG复杂度异常改变初步可行，值得深入研究。
목적：탐구불동병정결혈성뇌졸중환자뇌전도（EEG）비선성복잡도특정。방법대20례불동병정적결혈성뇌졸중환자급10례건강인각빈단EEG신호진행양본적특정제취급통계학분석。결과뇌졸중환자전빈단EEG신호양본적재대부분도련처현저소우건강인；불동병정졸중환자α빈단양본적재액협、섭협급침협차이구유통계학의의（P<0.05），부분도련처α빈단양본적여졸중후시간현저선성부상관。결론결혈성뇌졸중환자존재이상신경원방전활동，이용양본적탐구뇌졸중환자EEG복잡도이상개변초보가행，치득심입연구。
Objective To explore the nonlinear complexity characteristics of electroencephalogram (EEG) in ischemic stroke patients with different course. Methods Sample entropy of all bands of EEG signals in 20 ischemic stroke patients and 10 healthy controls was extracted and analyzed using statistical analysis methods. Results The full-band EEG in sample entropy of stroke patients was significantly lower than that of healthy controls in most locations. Theα-band sample entropy of different course had significant differences in the frontal, temporal and occipital lobe (P<0.05), and the parameters had significant negative linear correlation with the post-stroke time in some locations. Conclusions There is an abnormal neural electrical activity in post-stroke patients. It is feasible to detect the aberrant EEG complexity using sample entropy, which is worth of further research.