EEG信号瞬时同步性分析

Instantaneous Synchronization Analysis of EEG

同步是大脑不同区域之间交换信息时存在的重要特征。对EEG信号在不同频段的同步性研究是认识大脑的一种重要手段。研究信号同步性的方法分为参数化方法与非参数化方法。这里介绍一种基于ARMA模型的算法,该方法属于参数化方法,并且以从雄性老鼠获得的实验数据为例,探讨EEG信号的瞬时同步性,以便更好地了解大脑功能。在此基础上,讨论了该方法中Cs参数对计算结果稳定性的影响。另外,该方法相对于非参数方法具有更好的频率分辨率。

Synchronization phenomenon is a key feature for establishing the communication between different regions of the brain. The research of EEG＇s synchronization at different frequency band is an important measure in probing into the brain. And the approaches investigating it are composed of parameterized and non - parameterized ones. An algorithm based upon ARMA model and belonged to parameterized methods is introduced. Furthermore, to realize our brain better, the instantaneous synchronization of EEG based on the data getting from the male rat is discussed. In addition,the stable performance as the parameter named C; changing is studied. And relative to the non-parameterized methods,the conclusion that the parameterized methods take on better frequency resolve.