Research Article
An Efficient Framework for EEG Analysis with Application to Hybrid Brain Computer Interfaces Based on Motor Imagery and P300
Table 2
Classification performance.
| | | DS-hybrid
(%, ) | DS-MI
(%, ) | DS-P300
(%, ) | CSP-MI
(%) | SL-P300
(%) | PROB-hybrid
(%) |
| | S1 | 98 (0.9) | 82 (1.3) | 87 (2.3) | 78 | 88 | 91 | | S2 | 96 (1.5) | 81 (3.3) | 85 (1.5) | 85 | 87 | 85 | | S3 | 89 (5.7) | 79 (0.3) | 82 (0.9) | 75 | 79 | 85 | | S4 | 92 (0.5) | 76 (0.7) | 84 (0.7) | 80 | 76 | 88 | | S5 | 86 (2.9) | 73 (2.5) | 76 (1.3) | 72 | 78 | 80 | | S6 | 95 (6.3) | 80 (4.3) | 79 (5.75) | 81 | 83 | 86 | | S7 | 88 (4.1) | 68 (1.5) | 80 (6.3) | 68 | 78 | 82 | | S8 | 92 (1.1) | 84 (2.1) | 66 (3.7) | 82 | 80 | 90 | | S9 | 94 (2.5) | 85 (3.3) | 83 (1.7) | 86 | 85 | 91 | | S10 | 88 (1.9) | 76 (4.1) | 80 (4.3) | 74 | 82 | 86 | | S11 | 96 (0.3) | 88 (1.5) | 85 (5.7) | 86 | 90 | 92 | | S12 | 100 (1.7) | 83 (2.7) | 90 (3.1) | 85 | 88 | 95 | | Mean ± SD | | | | | | |
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