Stationary common spatial patterns for brain-computer interfacing.

Volume: 9, Issue: 2, Pages: 026013 - 026013
Published: Feb 20, 2012
Abstract
Classifying motion intentions in brain-computer interfacing (BCI) is a demanding task as the recorded EEG signal is not only noisy and has limited spatial resolution but it is also intrinsically non-stationary. The non-stationarities in the signal may come from many different sources, for instance, electrode artefacts, muscular activity or changes of task involvement, and often deteriorate classification performance. This is mainly because...
Paper Details
Title
Stationary common spatial patterns for brain-computer interfacing.
Published Date
Feb 20, 2012
Volume
9
Issue
2
Pages
026013 - 026013
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