Research Article
Epileptic Seizures Prediction Using Machine Learning Methods
Table 1
Comparison of machine learning models for prediction of epileptic seizures.
| Method | Number of subjects | Number of seizures | EEG channels used | Number of features | Average sensitivity (%) | FPR () |
| Rasekhi et al. [12] | 10 | 86 | 6 | 22 | 71.97 | 0.17 | Teixeira et al. [13] | 224 | 87 | 6 | 22 | 73.08 | 0.33 | Bandarabadi et al. [14] | 24 | 87 | 6 | 12 | 73.98 | 0.06 | Zandi et al. [16] | 20 | 86 | 18/23 | 18/23 | 88.34 | 0.155 | Gadhoumi et al. [15] | 6 | 86 | 2/3 | 3 | 88 | 0.15 |
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