Artificial Neural Network Classification of Motor-Related EEG: An Increase in Classification Accuracy by Reducing Signal Complexity
(a) Difference between the values of wavelet energy associated with right leg and left leg motor imagery. The data are averaged over all subjects () and shown as mean ± SD; (b) RBF network classification performance for different brain areas and different filtrations applied to input EEG (n/f: without filtration; : spectral components above 15 Hz are removed; : spectral components above 4 Hz are removed). The data are averaged over all subjects.
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