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Stationary common spatial patterns for non-stationary EEG data
Citation key WojBCCN10
Author Wojcikiewicz, W., Vidaurre, C., and Kawanabe, M.
Year 2010
ISSN 1662-5188
DOI doi: 10.3389/conf.fncom.2010.51.00051
Journal Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience.
Number 00051
Month September
Note Conference Abstract: Bernstein Conference on Computational Neuroscience (BCCN '10)
Abstract Projecting EEG data using Common Spatial Patterns (CSP) [1, 2] is a standard step in brain-computer interfacing (BCI). However, non-stationaries in the data i.e. variation of the signal properties within and across experimental sessions coming from electrode artefacts, alpha activity or fatigue, can negatively affect the performance of CSP. We alleviate this problem by regularizing CSP towards stationary subspaces, calling this method stationary CSP or sCSP.
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