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

Table 7

Average accuracy for Condition B using the selected filter configuration.

Subject	Higuchi	Katz	AR
A1	0.69 ± 0.03	0.71 ± 0.03	0.69 ± 0.03
A2	0.60 ± 0.03	0.58 ± 0.03	0.60 ± 0.04
A3	0.87 ± 0.03	0.83 ± 0.04	0.83 ± 0.04
A4	0.60 ± 0.05	0.58 ± 0.03	0.57 ± 0.05
A5	0.68 ± 0.04	0.67 ± 0.04	0.64 ± 0.03
A6	0.64 ± 0.03	0.65 ± 0.04	0.61 ± 0.04
A7	0.64 ± 0.03	0.63 ± 0.05	0.62 ± 0.05
A8	0.89 ± 0.04	0.90 ± 0.03	0.86 ± 0.03
A9	0.82 ± 0.04	0.88 ± 0.03	0.82 ± 0.03
Average	0.71 ± 0.04	0.71 ± 0.04	0.69 ± 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.