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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)
   GA 89.03 (2.6) 98.67 (0.3) 96.74 (0.4)
   ApEn + AR model 86.13 (3.5) 99.17 (0.2) 96.56 (0.6)
  LDA All features 93.71 (1.8) 97.90 (0.5) 97.07 (0.3)
   GA 93.84 (1.6) 97.82 (0.5) 97.03 (0.3)
   ApEn + AR model 89.87 (3.1) 98.53 (0.3) 96.80 (0.5)
  BP All features 89.46 (3.5) 98.57 (0.4) 96.74 (0.5)
   PCA 92.26 (2.2) 98.56 (0.3) 97.30 (0.4)
   GA 89.34 (3.9) 98.45 (0.5) 96.63 (0.5)
   ApEn + AR model 91.83 (3.1) 98.67 (0.5) 97.30 (0.5)
  LISVM All features 92.75 (1.9) 98.43 (0.5) 97.29 (0.3)
   PCA 91.89 (2.2) 98.34 (0.5) 97.05 (0.3)
   GA 92.42 (2.1) 98.41 (0.5) 97.22 (0.3)
   ApEn + AR model 98.67 (0.4) 91.79 (2.7) 97.29 (0.5)
  RBFSVM All features 93.09 (1.9) 98.61 (0.5) 97.50 (0.3)
   PCA 92.49 (2.5) 98.53 (0.4) 97.46 (0.3)
   GA 92.86 (2.2) 98.40 (0.4) 97.30 (0.3)
   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)
   GA 89.33 (3.1) 99.30 (0.3) 97.31 (0.5)
   ApEn + AR model 86.72 (3.8) 99.24 (0.3) 96.74 (0.7)
  LDA All features 93.45 (2.2) 98.73 (0.4) 97.67 (0.3)
   GA 94.03 (2.2) 98.66 (0.5) 97.73 (0.4)
   ApEn + AR model 90.14 (3.5) 98.67 (0.3) 96.96 (0.7)
  BP All features 92.27 (3.2) 98.68 (0.6) 97.40 (0.4)
   PCA 92.55 (2.3) 99.09 (0.5) 97.78 (0.4)
   GA 89.84 (3.9) 98.83 (0.6) 97.03 (0.7)
   ApEn + AR model 92.39 (2.7) 98.91 (0.5) 97.61 (0.5)
  LISVM All features 93.30 (2.2) 98.97 (0.6) 97.84 (0.3)
   PCA 93.00 (2.4) 98.96 (0.5) 97.77 (0.3)
   GA 92.97 (2.4) 98.84 (0.6) 97.67 (0.4)
   ApEn + AR model 92.47 (2.6) 98.77 (0.4) 97.51 (0.5)
  RBFSVM All features 94.69 (1.9) 99.10 (0.6) 98.21 (0.5)
   PCA 94.48 (1.9) 99.12 (0.5) 98.19 (0.5)
   GA 94.34 (2.1) 99.03 (0.5) 98.09 (0.4)
   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)
   GA 90.91 (4.2) 99.32 (0.3) 97.64 (0.7)
   ApEn + AR model 87.31 (0.4) 99.32 (0.3) 96.92 (0.8)
  LDA All features 94.25 (2.1) 99.04 (0.4) 98.08 (0.3)
   GA 94.66 (2.2) 98.88 (0.5) 98.04 (0.4)
   ApEn + AR model 90.59 (3.5) 98.79 (0.4) 97.15 (0.7)
  BP All features 92.16 (3.6) 98.72 (0.5) 97.41 (0.7)
   PCA 94.94 (2.0) 99.09 (0.5) 98.26 (0.4)
   GA 93.63 (2.9) 98.95 (0.3) 97.88 (0.4)
   ApEn + AR model 93.75 (2.4) 98.88 (0.6) 97.85 (0.5)
  LISVM All features 95.28 (1.8) 99.13 (0.5) 98.36 (0.4)
   PCA 94.72 (2.1) 99.07 (0.5) 98.20 (0.3)
   GA 94.44 (3.4) 98.98 (0.5) 98.08 (0.7)
   ApEn + AR model 93.47 (2.8) 98.86 (0.4) 97.78 (0.6)
  RBFSVM All features 95.78 (1.8) 99.19 (0.6) 98.51 (0.5)
   PCA 95.78 (1.8) 99.19 (0.6) 98.51 (0.5)
   GA 95.47 (1.4) 99.07 (0.5) 98.35 (0.4)
   ApEn + AR model 92.43 (3.4) 98.58 (0.6) 97.35 (0.7)