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

Table 9

Average accuracy for Condition A during the classification of feet and tongue movements and using the classical filter configuration (1–100).

Subject	Higuchi	Katz	AR
A1	0.55 ± 0.04	0.55 ± 0.04	0.58 ± 0.03
A2	0.52 ± 0.04	0.55 ± 0.03	0.54 ± 0.04
A3	0.64 ± 0.03	0.58 ± 0.04	0.62 ± 0.05
A4	0.48 ± 0.04	0.52 ± 0.03	0.50 ± 0.03
A5	0.53 ± 0.04	0.50 ± 0.02	0.50 ± 0.01
A6	0.54 ± 0.04	0.57 ± 0.03	0.54 ± 0.04
A7	0.54 ± 0.03	0.59 ± 0.06	0.64 ± 0.05
A8	0.73 ± 0.03	0.68 ± 0.04	0.62 ± 0.05
A9	0.68 ± 0.04	0.75 ± 0.06	0.70 ± 0.06
Average	0.58 ± 0.04	0.59 ± 0.04	0.58 ± 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.