Figure 5

Topographic distribution of spectral features. Feature extraction mapping at high-β band (two-Hz bin centered at 29 Hz) for subject B. Values close to +1 and -1 indicate brain areas of importance for classifying EEG data into idling and dorsifiexion classes. Since our feature extraction mapping is piecewise linear, there are two maps; one adapted to idling class (left) and one adapted to dorsifiexion class (right). Note that both maps feature the area around the Cz-electrode as prominent, indicating the importance of this brain area at this particular frequency for distinguishing between idling and foot dorsifiexion.