Croft R J, Barry R J
Department of Psychology, University of Wollongong, Australia.
Psychophysiology. 2000 Jan;37(1):123-5.
Electrooculogram (EOG) correction is used to remove eye-movement-related contamination from electroencephalograms (EEG). Correction is reliant on the regression procedure, although when multiple EOG channels are used in the correction, the appropriate type of regression to use is not known. In the present study, we aimed to resolve this matter. Computer simulations were used to compare the simultaneous, multiple-stage, and single-channel regression methods of correction. EOG propagation was modeled on prior findings, under conditions of varying vertical and horizontal EOG (VEOG/HEOG) correlation. The dependent variable was the correlation between the uncontaminated and the corrected EEG. The simultaneous regression procedure gave the best correction, with its advantage increasing as a function of VEOG/HEOG correlation. It is recommended that the simultaneous regression procedure be used for EOG correction of the EEG.
眼电图（EOG）校正用于去除脑电图（EEG）中与眼球运动相关的干扰。校正依赖于回归程序，尽管在校正中使用多个EOG通道时，尚不清楚应使用何种合适的回归类型。在本研究中，我们旨在解决这一问题。通过计算机模拟比较了同步、多阶段和单通道回归校正方法。根据先前的研究结果，在垂直和水平眼电图（VEOG/HEOG）相关性不同的条件下对EOG传播进行建模。因变量是未受干扰的EEG与校正后的EEG之间的相关性。同步回归程序给出了最佳校正效果，其优势随着VEOG/HEOG相关性的增加而增强。建议使用同步回归程序对EEG进行EOG校正。
