Research Article
Feature Selection Applying Statistical and Neurofuzzy Methods to EEG-Based BCI
Table 9
Research classification success rate comparison.
| Selection method | User 1 | Feat | User 2 | Feat | User 3 | Feat | Av. |
| BCI Competition Winner | 79.60 | 96 | 70.31 | 96 | 56.02 | 96 | 68.65 | MDLA [41] | 79.68 | 9 | 66.82 | 17 | 54.59 | 1 | 67.03 | SVM with evolved spatial + frequency-selection filters [31] | 78.14 | 32 | 71.33 | 16 | 59.07 | 40 | 69.58 | EEG Mapping [37] | 85.71 | 8 | 73.80 | 8 | 64.28 | 8 | 74.60 | Statistic + GMDH | 87.64 | 3 | 81.57 | 3 | 59.40 | 3 | 76.20 |
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