A Realistic Seizure Prediction Study Based on Multiclass SVM

@article{Direito2017ARS,
  title={A Realistic Seizure Prediction Study Based on Multiclass SVM},
  author={Bruno Direito and C{\'e}sar Alexandre Teixeira and Francisco Sales and Miguel Castelo-Branco and Ant{\'o}nio Dourado},
  journal={International journal of neural systems},
  year={2017},
  volume={27 3},
  pages={1750006}
}
A patient-specific algorithm, for epileptic seizure prediction, based on multiclass support-vector machines (SVM) and using multi-channel high-dimensional feature sets, is presented. The feature sets, combined with multiclass classification and post-processing schemes aim at the generation of alarms and reduced influence of false positives. This study considers 216 patients from the European Epilepsy Database, and includes 185 patients with scalp EEG recordings and 31 with intracranial data… CONTINUE READING
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