Table 6 Classification result based on 2DCNN model using single and multi-channel
From: Automatic seizure detection using three-dimensional CNN based on multi-channel EEG
| Â | Prediction | Accuracy | Specificity | Sensitivity | |||
|---|---|---|---|---|---|---|---|
Inter-ictal | Pre-ictal | ictal | |||||
Single channel | Inter-ictal | 813 | 124 | 63 | 87.53% | 90.65% | 81.30% |
Pre-ictal | 92 | 864 | 44 | 90.20% | 92.1% | 86.40% | |
Ictal | 95 | 34 | 871 | 92.13% | 94.65% | 87.10% | |
Multi channel | Inter-ictal | 822 | 119 | 59 | 88.13% | 91.10% | 82.20% |
Pre-ictal | 107 | 838 | 55 | 89.20% | 91.90% | 83.80% | |
Ictal | 71 | 43 | 886 | 92.40% | 94.30% | 88.60% | |