Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
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The aim of this study is to describe a general approach to determine important electrode positions in the case when the measured EEG-signal is used for classification. To classify planning of movement of right and left index finger, three different approaches were compared: classification using a physiologically motivated set of four electrodes, a set determined by principal component analysis and electrodes determined by spatial pattern analysis. Spatial pattern analysis enhanced the classification rate significantly from 61.3 ± 1.8% (with four electrodes) to 71.8 ± 1.4% whereas the classification rate using the principal component analysis is significantly lower (65.2 ± 1.4%). Most of the 61 electrodes used had no influence on the classification rate so that in future experiments the setup can be simplified drastically to 6 to 8 electrodes without loss of information.