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On optimal channel configurations for SMR-based brain-computer interfaces
via nonparametric multiple comparisons
Thorsten Dickhaus
In: μTOSS 2010 Berlin - Multiple Comparisons from Theory to Practice, 15-16 Feb 2010, Berlin, Germany.
AbstractBrain-computer interfaces (BCIs) based on sensorimotor rhythms (SMRs) make use of
brain activity modulated during motor imagery tasks, e.g.,
left-hand versus right-hand imagery, to control a device and / or
provide a communication tool. Usually, activity is thereby measured
by multi-channel electroencephalogram (EEG) and translated into commands by a computer program.
For example, with the output of a classifier operating on such EEG data,
control of an application like a moving cursor on a screen becomes possible.
In order to enhance the convenience of
use of such a BCI system, small channel setups with few electrodes
are favorable due to EEG cap montage time and signal stability.
However, a tradeoff with information loss is necessary, because removing
channels is likely to deteriorate classification accuracy.
We tackle this problem from a statistical point of view and formulate
the task of comparing different (standard) electrode layouts as a multiple
hypotheses testing problem. Moreover, nonparametric multiple comparisons methods
for this problem will be discussed.
This is joint work with Claudia Sannelli, Benjamin
Blankertz and Klaus-Robert Müller. [Edit]
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