For brain wave classification, which is a better measure of closeness, least-square or correlation coefficient? Today's computation gives some evidence that correlation coefficient might be a more effective measure. I took data from S6 and S7 from an earlier 60-channel EEG experiment and ran a 3 bin classification on monopolar and derived bipolar. Stimuli consisted of 7 words, first, second, third, yes, no, right and left, and were either auditory (S6A, S7A) or visual (S6V, S7V). In every case of the derived bipolar, use of the correlation coefficient increased the recognition rate by at least 0.7σ, in one case up to 1.8σ. Dfferences in rates for the monopolar montage were less conclusive, though, for every data set, classification on the derived bipolar using correlation coefficient performed the best. More details here.
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