A MULTIPLE SOURCE APPROACH TO THE CORRECTION OF EYE ARTIFACTS
A MULTIPLE SOURCE APPROACH TO THE CORRECTION OF EYE ARTIFACTS
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DOI：
10.1016/0013-4694(94)90094-9
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发表时间：
1994-03-01
期刊：
影响因子：
--
通讯作者：
SCHERG, M
中科院分区：
文献类型：
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作者：
BERG, P;SCHERG, M
先前公布的方法通过从EEG电极减去EOG的比例来校正眼睛伪影。这些方法所做的隐含假设是EOG信号是眼睛活动的良好测量并且不包含EEG。本文提出了一种基于多源分析的多源眼动校正（MSEC）方法。眼睛活动的空间分布的准确的、与头部模型无关的估计可以从包含系统性眼睛运动和眨眼的校准数据中凭经验获得。使用所得到的空间向量连同大脑模型，可以在存在重叠的大脑活动的情况下估计EEG和事件相关的响应数据中的眼睛活动并进行校正。MSEC方法的结果是EOG电极处的数据可以包括在脑活动的分析中。此外，通过适当的选择的空间矢量，眼睛活动可以被分成信号，识别垂直和水平运动和eyeblinks.Using听觉ERP数据集，并没有大的眼睛伪影，MSEC方法进行了比较与“传统”的方法，其中大脑活动是不建模，特别是相对于校正EEG的空间分布。传统的眼睛校正方法被示出为改变EEG的空间分布，导致例如建模的等效源的位置和方向的变化。这种失真在MSEC方法中被大大减小，从而提高了地形脑电分析的精度。
Previously published methods correct eye artifacts by subtracting proportions of the EOG from EEG electrodes. The implicit assumption made by these methods is that the EOG signals are a good measure of eye activity and contain no EEG. In this paper a new multiple source eye correction (MSEC) method of eye artifact treatment based on multiple source analysis is presented, which incorporates a model of brain activity. An accurate, head model-independent estimate of the spatial distribution of eye activity can be obtained empirically from calibration data containing systematic eye movements and blinks. Using the resulting spatial vectors together with the brain model, eye activity in EEG and event-related response data can be estimated in the presence of overlapping brain activity and corrected. A consequence of the MSEC approach is that data at EOG electrodes can be included in analyses of brain activity. In addition, by suitable selection of the spatial vectors, the eye activity can be split into signals which identify vertical and horizontal movements and eyeblinks.Using auditory ERP data sets with and without large eye artifacts, the MSEC method is compared with a ''traditional'' method in which brain activity is not modelled, particularly with respect to the spatial distribution of the corrected EEG. Traditional eye correction methods are shown to alter the spatial distribution of the EEG, resulting, for example, in changes in location and orientation of modelled equivalent Sources. Such distortion is much reduced in the MSEC method, thus enhancing the precision of topographical EEG analyses.