Facing High EEG Signals Variability during Classification Using Fractal Dimension and Different Cutoff Frequencies

Table 11

Average accuracy for Condition A during the classification of feet and tongue movements and using the optimal filter configuration.

Subject	Higuchi	Katz	AR
A1	0.65 ± 0.04	0.67 ± 0.03	0.62 ± 0.04
A2	0.63 ± 0.04	0.65 ± 0.06	0.60 ± 0.04
A3	0.74 ± 0.03	0.79 ± 0.03	0.70 ± 0.04
A4	0.56 ± 0.03	0.56 ± 0.05	0.56 ± 0.04
A5	0.60 ± 0.05	0.59 ± 0.04	0.57 ± 0.05
A6	0.64 ± 0.03	0.68 ± 0.05	0.59 ± 0.05
A7	0.73 ± 0.04	0.78 ± 0.04	0.72 ± 0.05
A8	0.74 ± 0.03	0.78 ± 0.04	0.72 ± 0.02
A9	0.74 ± 0.06	0.84 ± 0.03	0.73 ± 0.06
Average	0.67 ± 0.04	0.70 ± 0.04	0.65 ± 0.04

Accuracies that are significantly different compared with the best result. Values in bold indicate the best average accuracy achieved from the different feature extraction techniques.