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

Table 15

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

Subject	Higuchi	Katz	AR
A1	0.67 ± 0.03	0.78 ± 0.04	0.65 ± 0.04
A2	0.67 ± 0.05	0.69 ± 0.05	0.61 ± 0.05
A3	0.76 ± 0.03	0.74 ± 0.04	0.73 ± 0.06
A4	0.57 ± 0.04	0.56 ± 0.04	0.58 ± 0.04
A5	0.63 ± 0.05	0.64 ± 0.04	0.61 ± 0.05
A6	0.65 ± 0.05	0.66 ± 0.05	0.61 ± 0.05
A7	0.74 ± 0.04	0.82 ± 0.04	0.70 ± 0.04
A8	0.77 ± 0.03	0.79 ± 0.03	0.74 ± 0.05
A9	0.78 ± 0.04	0.83 ± 0.03	0.74 ± 0.04
Average	0.69 ± 0.04	0.72 ± 0.04	0.66 ± 0.05

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.