Local spatial analysis of EEG signals using the Laplacian montage

A. A. Slezkin, S. P. Stepina, N. Gusein-zade
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Abstract

Objectives. One pressing problem when recording brain activity signals by electroencephalography (EEG) is the need to reduce the effect of interference (artifacts). This study presents a method for resolving this problem using the Laplace differential operator. The aim is to determine the number of electrodes included in the Laplacian montage, as well as to clarify the requirements for the geometric shape of their placement, in order to ensure the best quality of EEG signal processing.Methods. The Laplacian montage method is based on the use of individual electrodes to determine the second derivative of the signal, proportional to the electric current at the corresponding point on the surface of the head. This approach allows the potential of neural activity of the source located in a small area limited by the electrode complex to be evaluated. By using a small number of equidistant electrodes placed around the target electrode, the Laplacian montage can produce a significantly higher quality signal from the area under the electrode complex.Results. Among all the methods for constructing the Laplacian montage discussed in the article, a complex consisting of 16 + 1 electrodes was shown to be preferable. The choice of the 16 + 1 scheme was determined by the best compromise between the quality of EEG signal processing and the complexity of manufacturing the electrode complex with given geometric parameters. The quality assessment was carried out by simulating the interference signal which allowed the correctness of the choice of installation design to be evaluated.Conclusions. The use of the Laplacian montage method can significantly reduce the effect of artifacts. The proposed montage scheme ensures a good suppression of interference signals, the sources of which are located far beyond the projection of the electrode complex. However, not all interference arising from sources deep inside the brain, can be effectively suppressed using the Laplacian montage scheme alone.
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利用拉普拉斯蒙太奇对脑电图信号进行局部空间分析
目的。通过脑电图(EEG)记录大脑活动信号时,一个亟待解决的问题是需要减少干扰(伪像)的影响。本研究提出了一种利用拉普拉斯微分算子解决这一问题的方法。目的是确定拉普拉斯蒙太奇中包含的电极数量,并明确电极放置的几何形状要求,以确保脑电信号处理的最佳质量。拉普拉斯蒙太奇方法的基础是使用单个电极确定信号的二阶导数,该导数与头部表面相应点的电流成正比。这种方法可以评估位于电极复合体限制的一小块区域内的神经源活动的潜力。通过使用放置在目标电极周围的少量等距电极,拉普拉斯蒙太奇可以从电极复合体下的区域产生质量明显更高的信号。在文章讨论的所有构建拉普拉斯蒙太奇的方法中,由 16 + 1 个电极组成的复合体被证明是更可取的。16 + 1 方案的选择取决于脑电信号处理的质量与根据给定几何参数制造电极复合体的复杂性之间的最佳折衷。质量评估是通过模拟干扰信号进行的,这样就可以评估安装设计选择的正确性。使用拉普拉斯蒙太奇方法可以显著减少伪影的影响。所提出的蒙太奇方案可确保很好地抑制干扰信号,因为干扰源远远超出了电极复合体的投影范围。然而,并非所有来自大脑深处的干扰都能仅通过拉普拉斯蒙太奇方案得到有效抑制。
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