Division of Experimental Otorhinolaryngology, Department of Neurosciences, Katholieke Universiteit, Leuven, Belgium.
Med Biol Eng Comput. 2012 Oct;50(10):1003-15. doi: 10.1007/s11517-012-0946-0. Epub 2012 Sep 16.
The starting point of this paper is the analysis of the reference problem in intra-cerebral electroencephalographic (iEEG) recordings. It is well accepted that both surface and depth EEG signals are always recorded with respect to some unknown time-varying signal called reference. This article discusses different methods for determining and reducing the influence of the reference signal for the iEEG signals. In particular, we derive optimal approaches for the estimation of the reference signal in iEEG recording setups and demonstrate their relation to the well-known minimum power/variance distortionless response approaches derived for general array and antenna signal processing applications. We show that the proposed approaches achieve optimal performance in terms of estimation error and that they outperform other reference identification methods proposed in the literature. The developed algorithms are illustrated on simulated examples and on real iEEG signals.
本文的出发点是对脑内脑电图（iEEG）记录中的参考问题进行分析。人们普遍认为，表面和深度 EEG 信号总是相对于一些未知的时变信号（称为参考）进行记录。本文讨论了确定和减少 iEEG 信号中参考信号影响的不同方法。特别是，我们推导出了 iEEG 记录设置中参考信号估计的最优方法，并证明了它们与为一般阵列和天线信号处理应用推导的著名最小功率/方差无失真响应方法的关系。我们表明，所提出的方法在估计误差方面具有最优性能，并且优于文献中提出的其他参考识别方法。所开发的算法在模拟示例和真实 iEEG 信号上进行了说明。
