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

Table 5

Average accuracy for Condition B using the classical filter configuration (1–100 Hz).

Subject	Higuchi	Katz	AR
A1	0.59 ± 0.06	0.55 ± 0.04	0.66 ± 0.04
A2	0.55 ± 0.03	0.49 ± 0.04	0.55 ± 0.05
A3	0.80 ± 0.05	0.53 ± 0.05	0.65 ± 0.04
A4	0.49 ± 0.03	0.49 ± 0.02	0.55 ± 0.04
A5	0.52 ± 0.04	0.51 ± 0.03	0.53 ± 0.04
A6	0.58 ± 0.04	0.61 ± 0.04	0.54 ± 0.04
A7	0.52 ± 0.02	0.53 ± 0.02	0.52 ± 0.03
A8	0.88 ± 0.03	0.70 ± 0.04	0.81 ± 0.04
A9	0.62 ± 0.04	0.74 ± 0.07	0.63 ± 0.08
Average	0.62 ± 0.04	0.57 ± 0.04	0.60 ± 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.