Dipole modelling of eye activity and its application to the removal of eye artefacts from the EEG and MEG.
Dipole modelling of eye activity and its application to the removal of eye artefacts from the EEG and MEG.
复制标题
眼睛活动的偶极子建模及其在从 EEG 和 MEG 中去除眼睛伪影中的应用。
DOI：
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发表时间：
1991
期刊：
影响因子：
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通讯作者：
Michael Scherg
中科院分区：
文献类型：
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作者：
Patrick Berg;Michael Scherg
利用时空偶极子模型方法识别眼球运动和眨眼引起的眼偶极子变化所引起的眼偶极子差异。基于这些结果，开发了一种从电或磁数据中去除眼伪影的方法。该方法通过经验确定眼睛信号的空间分布，避免了头部模型造成的失真。利用分布在头部内的偶极子源与经验确定的空间眼分量同时建模脑电或脑磁图活动，可以估计并从脑电或脑磁图中去除眼活动。这大大减少了对地形的畸变，这是伴随以前的眼睛人工校正方法。通过仿真和实际电数据说明了该方法的优点。
The spatio-temporal dipole model approach has been used to identify the difference dipoles arising from changes in the ocular dipoles due to eye movements and blinks. Based on these results a method has been developed to remove eye artefacts from electrical or magnetic data. The method avoids distortions due to the head model by determining the spatial distribution of the signals from the eyes empirically. Using simultaneous modelling of the EEG or MEG activity with dipole sources distributed within the head together with the empirically determined spatial eye components, the eye activity can be estimated and removed from the EEG or MEG. This greatly reduces the distortion to the topography that is a concomitant of previous eye artefact correction methods. The advantages of the method are illustrated using simulated and real electrical data.