Research Article
EEG Feature Extraction Using Evolutionary Algorithms for Brain-Computer Interface Development
Table 5
Nomenclature for the interpretation of the results.
| Column | Description |
| # | Execution number | Overlap (%) | Window overlap percentage | Fp1 | Number of selected channel features | Fp2 | Number of selected channel features | F3 | Number of selected channel features | F4 | Number of selected channel features | P1 | Number of selected channel features | P2 | Number of selected channel features | O1 | Number of selected channel features | O2 | Number of selected channel features | Total | Sum of selected features | | True positives | | False positives | | True negatives | | False negatives | | Precision metric (positive predictive value) | | Sensitivity metric (true positive rate) | | metric (F-score, F-measure) |
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