Kuś Rafal, Kamiński Maciej, Blinowska Katarzyna J
Laboratory of Medical Physics, Warsaw University, Warsaw, Poland.
IEEE Trans Biomed Eng. 2004 Sep;51(9):1501-10. doi: 10.1109/TBME.2004.827929.
Performance of different estimators describing propagation of electroencephalogram (EEG) activity, namely: Granger causality, directed transfer function (DTF), direct DTF (dDTF), short-time DTF (SDTF), bivariate coherence, and partial directed coherence are compared by means of simulations and on the examples of experimental signals. In particular, the differences between pair-wise and multichannel estimates are studied. The results show unequivocally that in most cases, the pair-wise estimates are incorrect and a complete set of signals involved in a given process has to be used to obtain the correct pattern of EEG flows. Different performance of multivariate estimators of propagation depending on their normalization is discussed. Advantages of multivariate autoregressive model are pointed out.
通过模拟以及实验信号示例,对描述脑电图(EEG)活动传播的不同估计器的性能进行了比较,这些估计器包括:格兰杰因果关系、定向传递函数(DTF)、直接DTF(dDTF)、短时DTF(SDTF)、双变量相干性和部分定向相干性。特别地,研究了成对估计和多通道估计之间的差异。结果明确表明,在大多数情况下,成对估计是不正确的,必须使用给定过程中涉及的完整信号集来获得EEG流动的正确模式。讨论了传播的多变量估计器因其归一化方式不同而具有的不同性能。指出了多变量自回归模型的优点。