Research Article
Epileptic Seizures Prediction Using Machine Learning Methods
Table 2
Comparison of prediction time and sensitivity.
| Model | Dataset | EEG signals type | Number of subjects | Number of seizures | Avg. prediction time (min.) | Sensitivity (%) |
| Teixeira et al. [13] | EPILEPSIAE | Scalp EEG | 227 | 87 | 15.8 | 73.5 | Zandi et al. [16] | VGH | Scalp EEG | 17 | 86 | 21.48 | 91.11 | CHB-MIT | Scalp EEG | 03 | 19.8 | 83.81 | Proposed model | CHB-MIT | Scalp EEG | 24 | 84 | 23.61 | 92.23 |
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