Automatic seizure detection: going from sEEG to iEEG

@article{Henriksen2010AutomaticSD,
  title={Automatic seizure detection: going from sEEG to iEEG},
  author={Jonas Rosager Henriksen and Line S. Remvig and Rasmus Elsborg Madsen and Isa Conradsen and Troels Wesenberg Kjaer and Carsten E. Thomsen and Helge B. D. Sorensen},
  journal={2010 Annual International Conference of the IEEE Engineering in Medicine and Biology},
  year={2010},
  pages={2431-2434}
}
Several different algorithms have been proposed for automatic detection of epileptic seizure based on both scalp and intracranial electroencephalography (sEEG and iEEG). Which modality that renders the best result is hard to assess though. From 16 patients with focal epilepsy, at least 24 hours of ictal and non-ictal iEEG were obtained. Characteristics of the seizures are represented by use of wavelet transformation (WT) features and classified by a support vector machine. When implementing a… CONTINUE READING

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