Research Article
Recognition of Ocular Artifacts in EEG Signal through a Hybrid Optimized Scheme
Table 5
Overall performance analysis of the proposed DS-EFO-DCN detection and mitigation model with metaheuristic based algorithms.
| | Performance measures | PSO-DCN [8] | GWO-DCN [7] | DPE-EWA-DCN [38] | EFO-DCN [11] | DS-EFO-DCN |
| | Accuracy (%) | 90.40 | 93.60 | 91.90 | 91.60 | 94.40 | | Sensitivity (%) | 92.10 | 92.10 | 90.70 | 90.70 | 92.10 | | Specificity (%) | 90.20 | 93.80 | 92.10 | 91.70 | 94.70 | | Precision | 55.5 | 66.6 | 60.5 | 59.4 | 70.1 | | FPR | 9.7 | 6.1 | 7.8 | 8.2 | 5.2 | | FNR | 7.8 | 7.8 | 9.2 | 9.2 | 7.8 | | NPV | 90.2 | 93.8 | 92.1 | 91.7 | 94.7 | | FDR | 44.4 | 33.3 | 39.4 | 40.5 | 30.1 | | F1-score | 69.3 | 77.3 | 72.6 | 71.8 | 79.5 | | MCC | 66.9 | 75.0 | 70.0 | 69.3 | 77.3 |
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