Abstract
EEG single-trial analysis requires methods that are robust against noise and disturbance. In this contribution, based on the framework of robust statistics, we propose a simple modification of Common Spatial Patterns by the robust calculation of covariance estimators against outlying trials caused, for example, by artifacts. We tested the proposed robust filters with EEG recordings from 80 subjects and obtained, not only a significant improvement in performance, but for some subjects, also better neuro-physiologically interpretable filters.
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© 2009 Springer-Verlag Berlin Heidelberg
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Kawanabe, M., Vidaurre, C. (2009). Improving BCI Performance by Modified Common Spatial Patterns with Robustly Averaged Covariance Matrices. In: Dössel, O., Schlegel, W.C. (eds) World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany. IFMBE Proceedings, vol 25/9. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03889-1_75
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DOI: https://doi.org/10.1007/978-3-642-03889-1_75
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03888-4
Online ISBN: 978-3-642-03889-1
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