Artificial Neural Network Classification of Motor-Related EEG: An Increase in Classification Accuracy by Reducing Signal Complexity

Figure 3

(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.

(a)

(b)