From: A hybrid CNN-Bi-LSTM model with feature fusion for accurate epilepsy seizure detection
Classifier | Classes | Accuracy | Sensitivity | Specificity | Precision | F1-score |
---|---|---|---|---|---|---|
SVM | A-D-E | 92.73 | 91.45 | 94.06 | 94.52 | 92.87 |
AB-CD-E | 91.17 | 90.78 | 91.78 | 92.88 | 91.73 | |
CNN | A-D-E | 95.97 | 94.90 | 97.16 | 97.32 | 96.01 |
AB-CD-E | 95.59 | 95.27 | 95.77 | 96.64 | 95.90 | |
LSTM | A-D-E | 95.42 | 94.01 | 97.18 | 97.28 | 95.22 |
AB-CD-E | 95.11 | 94.51 | 95.77 | 96.62 | 95.66 | |
Bi-LSTM | A-D-E | 96.00 | 94.81 | 97.26 | 97.33 | 96.05 |
AB-CD-E | 95.33 | 94.74 | 95.95 | 96.00 | 95.36 | |
CNN-Bi-LSTM | A-D-E | 96.19 | 95.08 | 97.34 | 97.49 | 96.18 |
AB-CD-E | 95.71 | 94.90 | 96.80 | 97.05 | 95.91 |