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

Table 3

Average accuracy for Condition A using the selected filter configuration.

Subject	Higuchi	Katz	AR
A1	0.68 ± 0.04	0.70 ± 0.04	0.66 ± 0.05
A2	0.57 ± 0.03	0.57 ± 0.05	0.58 ± 0.04
A3	0.83 ± 0.03	0.82 ± 0.04	0.77 ± 0.04
A4	0.57 ± 0.04	0.55 ± 0.03	0.56 ± 0.04
A5	0.62 ± 0.03	0.57 ± 0.03	0.57 ± 0.05
A6	0.58 ± 0.04	0.63 ± 0.05	0.59 ± 0.03
A7	0.61 ± 0.04	0.65 ± 0.05	0.61 ± 0.04
A8	0.86 ± 0.03	0.86 ± 0.03	0.81 ± 0.04
A9	0.82 ± 0.03	0.83 ± 0.06	0.80 ± 0.06
Average	0.68 ± 0.03	0.69 ± 0.04	0.66 ± 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.