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-E | 99.42 | 98.86 | 100.00 | 100.00 | 99.42 |
B-E | 94.42 | 92.79 | 96.18 | 96.20 | 94.34 | |
AB-E | 95.17 | 96.38 | 93.07 | 96.58 | 96.44 | |
CNN | A-E | 99.25 | 98.55 | 100.00 | 100.00 | 99.26 |
B-E | 97.58 | 96.87 | 98.04 | 98.33 | 97.55 | |
AB-E | 98.50 | 98.64 | 98.36 | 99.16 | 98.89 | |
LSTM | A-E | 99.17 | 98.32 | 100.00 | 100.00 | 99.13 |
B-E | 97.17 | 97.10 | 97.38 | 97.26 | 97.15 | |
AB-E | 98.17 | 98.06 | 98.34 | 99.14 | 98.59 | |
Bi-LSTM | A-E | 99.44 | 98.96 | 100.00 | 100.00 | 99.47 |
B-E | 97.29 | 96.14 | 98.50 | 98.72 | 97.39 | |
AB-E | 98.33 | 97.88 | 98.73 | 98.64 | 98.23 | |
CNN-Bi-LSTM | A-E | 99.50 | 99.01 | 100.00 | 100.00 | 99.50 |
B-E | 98.17 | 97.52 | 98.81 | 98.86 | 98.16 | |
AB-E | 98.60 | 98.34 | 99.14 | 99.57 | 98.95 |