On Prediction of Epileptic Seizures by Means of Genetic Programming Artificial Features

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@Article{FGE:OPE:06,
  title =        "On Prediction of Epileptic Seizures by Means of
                 Genetic Programming Artificial Features",
  author =       "Hiram Firpi and Erik Goodman and Javier Echauz",
  journal =      "Annals of Biomedical Engineering",
  year =         "2006",
  pages =        "515--529",
  volume =       "34",
  number =       "3",
  month =        mar,
  keywords =     "genetic algorithms, genetic programming, Epilepsy,
                 Seizure prediction, Artificial feature, Feature
                 extraction, State-space reconstruction",
  DOI =          "doi:10.1007/s10439-005-9039-7",
  abstract =     "A general-purpose, systematic algorithm is presented,
                 consisting of a genetic programming module and a
                 k-nearest neighbour classifier to automatically create
                 artificial features computer-crafted features possibly
                 without a known physical meaning directly from the
                 reconstructed state-space trajectory of intracranial
                 EEG signals that reveal predictive patterns of
                 epileptic seizures. The algorithm was evaluated with
                 IEEG data from seven patients, with prediction defined
                 over a horizon of 1-5 min before unequivocal
                 electrographic onset. A total of 59 baseline epochs
                 (nonseizures) and 55 preictal epochs (preseizures) were
                 used for validation purposes. Among the results, it is
                 shown that 12 seizures out of 55 were missed while four
                 baseline epochs were misclassified, yielding 79per cent
                 sensitivity and 93per cent specificity.",
}

Genetic Programming entries for Hiram A Firpi Erik Goodman Javier Echauz

Citations