Decoding index finger position from EEG using random forests

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Decoding index finger position from EEG using random forests
Authors: Sebastian Weichwald, Timm Meyer, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup
Citation: missing booktitle  : 2014
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Meeting: 4th International Workshop on Cognitive Information Processing
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Link(s): http://mlin.kyb.tuebingen.mpg.de/cip2014.pdf
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Decoding index finger position from EEG using random forests describes a study on EEG-based brain-computer interface to predict which key on a numerical keyboard a subject pressed with the right index finger. They report slightly above chance classification results.

Investigating the feature importance they find importance in the beta-frequency band.

"Sensorimotor beta power increases after movement end" so-called "beta-rebound" (B. E. Kilavik et al. 2013; Pfurtscheller et al., 1996)

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