Table 5 Sensitivity, specificity, and accuracy of combining various feature extraction methods with various classifiers to distinguishing between Set E (ictal windows) and Sets (A, D) (normal and interictals).
From: Combination of EEG Complexity and Spectral Analysis for Epilepsy Diagnosis and Seizure Detection
Window size | Classifier | Feature Selection | Sensitivity | Specificity | Accuracy |
|---|---|---|---|---|---|
173 | LLS | All features | 93.61 (2.1) | 97.79 (0.8) | 96.40 (0.6) |
| Â | Â | GA | 92.85 (2.5) | 97.69 (0.8) | 96.08 (0.7) |
| Â | Â | ApEn + AR model | 92.53 (1.8) | 98.10 (0.7) | 96.25 (0.7) |
| Â | LDA | All features | 95.60 (1.4) | 97.32 (0.9) | 96.74 (0.5) |
| Â | Â | GA | 95.67 (1.7) | 96.99 (1.2) | 96.55 (0.7) |
| Â | Â | ApEn + AR model | 94.03 (1.7) | 97.55 (0.8) | 96.38 (0.7) |
| Â | BP | All features | 94.59 (2.5) | 97.42 (1.2) | 96.47 (0.8) |
| Â | Â | PCA | 94.26 (2.3) | 97.91 (0.8) | 96.70 (0.8) |
| Â | Â | GA | 89.34 (3.9) | 98.45 (0.5) | 96.63 (0.5) |
| Â | Â | ApEn + AR model | 93.97 (2.4) | 97.38 (1.1) | 96.24 (0.7) |
| Â | LISVM | All features | 94.75 (1.8) | 97.84 (0.9) | 96.81 (0.5) |
| Â | Â | PCA | 93.91 (2.2) | 97.64 (0.8) | 96.40 (0.6) |
| Â | Â | GA | 93.97 (2.6) | 97.62 (1.0) | 96.40 (0.9) |
| Â | Â | ApEn + AR model | 94.36 (2.1) | 97.42 (1.0) | 96.40 (0.7) |
| Â | RBFSVM | All features | 95.22 (1.9) | 97.98 (0.9) | 97.06 (0.6) |
| Â | Â | PCA | 98.85 (1.9) | 97.90 (0.8) | 96.88 (0.6) |
| Â | Â | GA | 94.75 (2.2) | 97.72 (1.1) | 96.73 (0.8) |
| Â | Â | ApEn + AR model l | 94.07 (1.8) | 97.23 (1.1) | 96.18 (0.6) |
256 | LLS | All features | 94.92 (1.5) | 98.37 (0.8) | 97.22 (0.5) |
| Â | Â | GA | 94.33 (1.7) | 98.15 (0.7) | 96.88 (0.4) |
| Â | Â | ApEn + AR model | 93.39 (1.8) | 98.08 (0.8) | 96.49 (0.7) |
| Â | LDA | All features | 96.06 (1.2) | 97.77 (1.0) | 97.20 (0.5) |
| Â | Â | GA | 95.92 (1.8) | 97.24 (1.3) | 96.80 (0.6) |
| Â | Â | ApEn + AR model | 96.36 (1.7) | 97.51 (0.9) | 96.46 (0.7) |
| Â | BP | All features | 95.89 (2.1) | 97.79 (1.4) | 97.16 (0.9) |
| Â | Â | PCA | 95.25 (1.5) | 98.58 (0.7) | 97.47 (0.5) |
| Â | Â | GA | 95.75 (3.0) | 97.35 (1.4) | 96.82 (1.1) |
| Â | Â | ApEn + AR model | 94.16 (2.6) | 97.80 (1.2) | 96.58 (0.6) |
| Â | LISVM | All features | 96.19 (1.8) | 98.23 (1.0) | 97.55 (0.6) |
| Â | Â | PCA | 95.08 (1.9) | 98.20 (0.9) | 97.16 (0.5) |
| Â | Â | GA | 95.45 (2.6) | 97.91 (1.2) | 97.09 (0.9) |
| Â | Â | ApEn + AR model | 94.83 (2.0) | 97.62 (1.0) | 96.69 (0.6) |
| Â | RBFSVM | All features | 96.88 (1.8) | 98.41 (1.0) | 97.90 (0.7) |
| Â | Â | PCA | 96.67 (1.7) | 98.43 (1.0) | 97.83 (0.6) |
| Â | Â | GA | 96.06 (2.5) | 98.17 (0.9) | 97.47 (0.7) |
| Â | Â | ApEn + AR model | 93.80 (2.2) | 97.09 (1.2) | 95.99 (1.7) |
512 | LLS | All features | 95.59 (1.3) | 98.58 (0.7) | 97.58 (0.3) |
| Â | Â | GA | 95.50 (2.0) | 98.39 (1.0) | 97.43 (0.9) |
| Â | Â | ApEn + AR model | 93.94 (2.0) | 98.13 (0.8) | 96.73 (0.7) |
| Â | LDA | All features | 97.03 (1.0) | 98.13 (0.9) | 97.76 (0.4) |
| Â | Â | GA | 96.81 (1.7) | 97.78 (0.9) | 97.46 (0.9) |
| Â | Â | ApEn + AR model | 94.59 (1.9) | 97.77 (0.9) | 96.71 (0.7) |
| Â | BP | All features | 97.44 (1.5) | 97.81 (1.4) | 97.69 (0.9) |
| Â | Â | PCA | 96.78 (1.6) | 98.47 (0.9) | 97.90 (0.5) |
| Â | Â | GA | 95.91 (2.7) | 98.05 (1.3) | 97.33 (1.0) |
| Â | Â | ApEn + AR model | 95.00 (1.8) | 97.88 (1.0) | 96.92 (0.6) |
| Â | LISVM | All features | 97.28 (1.4) | 98.66 (0.8) | 98.20 (0.5) |
| Â | Â | PCA | 96.38 (1.3) | 98.47 (0.9) | 97.77 (0.5) |
| Â | Â | GA | 96.88 (2.0) | 98.33 (1.1) | 97.84 (0.7) |
| Â | Â | ApEn + AR model | 94.69 (2.5) | 97.70 (0.9) | 96.70 (0.8) |
| Â | RBFSVM | All features | 97.53 (1.4) | 98.73 (1.0) | 98.33 (0.7) |
| Â | Â | PCA | 97.44 (1.5) | 98.77 (0.9) | 98.32 (0.6) |
| Â | Â | GA | 97.37 (1.9) | 98.53 (0.9) | 98.15 (0.8) |
| Â | Â | ApEn + AR model | 93.63 (2.4) | 97.28 (1.3) | 96.06 (1.0) |