Forecasting Seizures Using Intracranial EEG Measures and SVM in Naturally Occurring Canine Epilepsy

@article{Brinkmann2015ForecastingSU,
  title={Forecasting Seizures Using Intracranial EEG Measures and SVM in Naturally Occurring Canine Epilepsy},
  author={B. Brinkmann and E. Patterson and C. Vite and Vincent M. Vasoli and D. Crepeau and M. Stead and J. Howbert and V. Cherkassky and Joost B. Wagenaar and B. Litt and G. Worrell},
  journal={PLoS ONE},
  year={2015},
  volume={10}
}
Management of drug resistant focal epilepsy would be greatly assisted by a reliable warning system capable of alerting patients prior to seizures to allow the patient to adjust activities or medication. Such a system requires successful identification of a preictal, or seizure-prone state. Identification of preictal states in continuous long- duration intracranial electroencephalographic (iEEG) recordings of dogs with naturally occurring epilepsy was investigated using a support vector machine… Expand
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