Artifact correction of the ongoing EEG using spatial filters based on artifact and brain signal topographies
Artifact correction of the ongoing EEG using spatial filters based on artifact and brain signal topographies
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DOI：
10.1097/00004691-200203000-00002
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发表时间：
2002-04-01
影响因子：
2.4
通讯作者：
Scherg, M
中科院分区：
文献类型：
--
作者：
Ille, N;Berg, P;Scherg, M
连续脑电图记录的回顾和分析可能会受到生理伪迹的阻碍，比如眨眼、眼球运动或心脏活动。基于伪迹和脑电信号拓扑结构的空间滤波器可以在不扭曲相关脑电活动的情况下完全去除伪迹。作者描述了通过空间滤波进行伪迹校正的基本原理，并综述了估计伪迹和脑电信号拓扑结构的不同方法。主要关注的是预选方法，这种方法速度足够快，可以在浏览数字脑电图记录片段时应用。包含癫痫发作活动或被伪迹污染的发作间期棘波的真实脑电图片段的例子表明，预选空间滤波在脑电图回顾过程中是一种有用的工具。讨论了不同空间滤波方法的优缺点。
Review and analysis of continuous EEG recordings may be impeded by physiological artifacts such as blinks, eye movements, or cardiac activity. Spatial filters based on artifact and brain signal topographies can remove artifacts completely without distortion of relevant brain activity. The authors describe the basic principle of artifact correction by spatial filtering and they review different approaches to estimate artifact and brain signal topographies. The main focus is on the preselection approach, which is fast enough to be applied while paging through the segments of a digital EEG recording. Examples of real EEG segments, containing epileptic seizure activity or interictal spikes contaminated by artifacts, show that spatial filtering by preselection can be a useful tool during EEG review. Advantages and disadvantages of the different spatial filter approaches are discussed.