Journal
JOURNAL OF CLINICAL NEUROPHYSIOLOGY
Volume 19, Issue 2, Pages 113-124Publisher
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/00004691-200203000-00002
Keywords
artifact correction; spatial filter; EOG; electrocardiogram; EEG; independent component analysis
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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.
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