Detection of Epileptic Events using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{marchesi:1997:deeGP,
  author =       "Bruno Marchesi and Alvaro Luiz Stelle and 
                 Heitor Silverio Lopes",
  title =        "Detection of Epileptic Events using Genetic
                 Programming",
  booktitle =    "Proceedings of the 19th Annual International
                 Conference of the IEEE and Engineering in Medicine and
                 Biology Society",
  year =         "1997",
  volume =       "3",
  pages =        "1198--1201",
  address =      "Chicago, IL. USA",
  month =        oct # " 30 - " # nov # " 2",
  organisation = "IEEE",
  keywords =     "genetic algorithms, genetic programming, signal
                 processing, EEG, 3 Hz, Darwinian survival and
                 reproduction, EEG signals, automatic detection,
                 complexes recognition, epileptic events detection,
                 genetic algorithm, ictal period, pattern recognition,
                 spike-and-slow-wave complexes, training features,
                 typical absences, visually classified frames,
                 electroencephalography, evolutionary computation,
                 learning (artificial intelligence), medical expert
                 systems, medical signal processing, pattern
                 classification",
  ISBN =         "0-7803-4262-3",
  file =         "embs98.pdf",
  DOI =          "doi:10.1109/IEMBS.1997.756577",
  size =         "4 pages",
  abstract =     "This paper presents a method using genetic programming
                 for automatic detection of 3 Hz spike-and-slow- wave
                 complexes, that are a characteristic of typical
                 absences, in electroencephalogram (EEG) signals.
                 Training features are extracted from 1s EEG frames,
                 randomly chosen from pre-recorded files. The frames are
                 visually classified as spike-and-slow-wave complexes
                 (SASWC) or non-spike- and-slow-wave complexes (NSASWC).
                 Genetic programming techniques are then applied to
                 these data to build a program capable of recognising
                 such complexes.",
  notes =        "

                 ",
}

Genetic Programming entries for Bruno Marchesi Alvaro Luiz Stelle Heitor Silverio Lopes

Citations