Table 6 Sensitivity, specificity, and accuracy of combining various feature extraction methods with various classifiers to distinguishing between Set E (ictal windows) and all nonictal windows (Sets A, B, C, and D).
From: Combination of EEG Complexity and Spectral Analysis for Epilepsy Diagnosis and Seizure Detection
Window size | Classifier | Selection feature | Sensitivity | Specificity | Accuracy |
|---|---|---|---|---|---|
173 | LLS | All features | 88.40 (2.9) | 98.67 (0.3) | 96.62 (0.4) |
| Â | Â | GA | 89.03 (2.6) | 98.67 (0.3) | 96.74 (0.4) |
| Â | Â | ApEn + AR model | 86.13 (3.5) | 99.17 (0.2) | 96.56 (0.6) |
| Â | LDA | All features | 93.71 (1.8) | 97.90 (0.5) | 97.07 (0.3) |
| Â | Â | GA | 93.84 (1.6) | 97.82 (0.5) | 97.03 (0.3) |
| Â | Â | ApEn + AR model | 89.87 (3.1) | 98.53 (0.3) | 96.80 (0.5) |
| Â | BP | All features | 89.46 (3.5) | 98.57 (0.4) | 96.74 (0.5) |
| Â | Â | PCA | 92.26 (2.2) | 98.56 (0.3) | 97.30 (0.4) |
| Â | Â | GA | 89.34 (3.9) | 98.45 (0.5) | 96.63 (0.5) |
| Â | Â | ApEn + AR model | 91.83 (3.1) | 98.67 (0.5) | 97.30 (0.5) |
| Â | LISVM | All features | 92.75 (1.9) | 98.43 (0.5) | 97.29 (0.3) |
| Â | Â | PCA | 91.89 (2.2) | 98.34 (0.5) | 97.05 (0.3) |
| Â | Â | GA | 92.42 (2.1) | 98.41 (0.5) | 97.22 (0.3) |
| Â | Â | ApEn + AR model | 98.67 (0.4) | 91.79 (2.7) | 97.29 (0.5) |
| Â | RBFSVM | All features | 93.09 (1.9) | 98.61 (0.5) | 97.50 (0.3) |
| Â | Â | PCA | 92.49 (2.5) | 98.53 (0.4) | 97.46 (0.3) |
| Â | Â | GA | 92.86 (2.2) | 98.40 (0.4) | 97.30 (0.3) |
| Â | Â | ApEn + AR model | 92.09 (2.6) | 98.35 (0.4) | 97.10 (0.4) |
256 | LLS | All features | 89.23 (3.3) | 99.35 (0.3) | 97.33 (0.6) |
| Â | Â | GA | 89.33 (3.1) | 99.30 (0.3) | 97.31 (0.5) |
| Â | Â | ApEn + AR model | 86.72 (3.8) | 99.24 (0.3) | 96.74 (0.7) |
| Â | LDA | All features | 93.45 (2.2) | 98.73 (0.4) | 97.67 (0.3) |
| Â | Â | GA | 94.03 (2.2) | 98.66 (0.5) | 97.73 (0.4) |
| Â | Â | ApEn + AR model | 90.14 (3.5) | 98.67 (0.3) | 96.96 (0.7) |
| Â | BP | All features | 92.27 (3.2) | 98.68 (0.6) | 97.40 (0.4) |
| Â | Â | PCA | 92.55 (2.3) | 99.09 (0.5) | 97.78 (0.4) |
| Â | Â | GA | 89.84 (3.9) | 98.83 (0.6) | 97.03 (0.7) |
| Â | Â | ApEn + AR model | 92.39 (2.7) | 98.91 (0.5) | 97.61 (0.5) |
| Â | LISVM | All features | 93.30 (2.2) | 98.97 (0.6) | 97.84 (0.3) |
| Â | Â | PCA | 93.00 (2.4) | 98.96 (0.5) | 97.77 (0.3) |
| Â | Â | GA | 92.97 (2.4) | 98.84 (0.6) | 97.67 (0.4) |
| Â | Â | ApEn + AR model | 92.47 (2.6) | 98.77 (0.4) | 97.51 (0.5) |
| Â | RBFSVM | All features | 94.69 (1.9) | 99.10 (0.6) | 98.21 (0.5) |
| Â | Â | PCA | 94.48 (1.9) | 99.12 (0.5) | 98.19 (0.5) |
| Â | Â | GA | 94.34 (2.1) | 99.03 (0.5) | 98.09 (0.4) |
| Â | Â | ApEn + AR model | 92.48 (2.6) | 98.48 (0.5) | 97.28 (0.5) |
512 | LLS | All features | 91.40 (2.7) | 99.42 (0.2) | 97.82 (0.5) |
| Â | Â | GA | 90.91 (4.2) | 99.32 (0.3) | 97.64 (0.7) |
| Â | Â | ApEn + AR model | 87.31 (0.4) | 99.32 (0.3) | 96.92 (0.8) |
| Â | LDA | All features | 94.25 (2.1) | 99.04 (0.4) | 98.08 (0.3) |
| Â | Â | GA | 94.66 (2.2) | 98.88 (0.5) | 98.04 (0.4) |
| Â | Â | ApEn + AR model | 90.59 (3.5) | 98.79 (0.4) | 97.15 (0.7) |
| Â | BP | All features | 92.16 (3.6) | 98.72 (0.5) | 97.41 (0.7) |
| Â | Â | PCA | 94.94 (2.0) | 99.09 (0.5) | 98.26 (0.4) |
| Â | Â | GA | 93.63 (2.9) | 98.95 (0.3) | 97.88 (0.4) |
| Â | Â | ApEn + AR model | 93.75 (2.4) | 98.88 (0.6) | 97.85 (0.5) |
| Â | LISVM | All features | 95.28 (1.8) | 99.13 (0.5) | 98.36 (0.4) |
| Â | Â | PCA | 94.72 (2.1) | 99.07 (0.5) | 98.20 (0.3) |
| Â | Â | GA | 94.44 (3.4) | 98.98 (0.5) | 98.08 (0.7) |
| Â | Â | ApEn + AR model | 93.47 (2.8) | 98.86 (0.4) | 97.78 (0.6) |
| Â | RBFSVM | All features | 95.78 (1.8) | 99.19 (0.6) | 98.51 (0.5) |
| Â | Â | PCA | 95.78 (1.8) | 99.19 (0.6) | 98.51 (0.5) |
| Â | Â | GA | 95.47 (1.4) | 99.07 (0.5) | 98.35 (0.4) |
| Â | Â | ApEn + AR model | 92.43 (3.4) | 98.58 (0.6) | 97.35 (0.7) |