Detecting single-trial EEG evoked potential using a wavelet domain linear mixed model: application to error potentials classification

Abstract

The combination of the linear mixed model, wavelet transform and spatial filtering for EEG classification is, to the best of our knowledge, an original approach, which is proven to be effective. This paper improves upon earlier results on similar problems, and the three main ingredients all play an important role.