Epileptic seizure detection by means of genetically programmed artificial features

Created by W.Langdon from gp-bibliography.bib Revision:1.4333

  author =       "Hiram Firpi and Erik Goodman and Javier Echauz",
  title =        "Epileptic seizure detection by means of genetically
                 programmed artificial features",
  booktitle =    "{GECCO 2005}: Proceedings of the 2005 conference on
                 Genetic and evolutionary computation",
  year =         "2005",
  editor =       "Hans-Georg Beyer and Una-May O'Reilly and 
                 Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and 
                 Eric W. Bonabeau and Erick Cantu-Paz and 
                 Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and 
                 Edwin D. {de Jong} and Hod Lipson and Xavier Llora and 
                 Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and 
                 Terence Soule and Andy M. Tyrrell and 
                 Jean-Paul Watson and Eckart Zitzler",
  volume =       "1",
  ISBN =         "1-59593-010-8",
  pages =        "461--466",
  address =      "Washington DC, USA",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p461.pdf",
  DOI =          "doi:10.1145/1068009.1068082",
  publisher =    "ACM Press",
  publisher_address = "New York, NY, 10286-1405, USA",
  month =        "25-29 " # jun,
  organisation = "ACM SIGEVO (formerly ISGEC)",
  keywords =     "genetic algorithms, genetic programming, Biological
                 Applications, design, epilepsy, feature extraction,
                 seizure detection, state-space reconstruction",
  size =         "6 pages",
  abstract =     "we describe a general-purpose, systematic algorithm,
                 consisting of a genetic programming module and a
                 knearest neighbour classifier to automatically create
                 artificial features?features that are computer-crafted
                 and may not have a known physical meaning?directly from
                 the reconstructed statespace trajectories of the EEG
                 signals that reveal patterns indicative of epileptic
                 seizure onset. The algorithm was evaluated in three
                 patients and validation experiments were carried out
                 using 267.6 hours of EEG recordings. The results with
                 the artificial features compare favourably with
                 previous benchmark work that used a handcrafted
  notes =        "GECCO-2005 A joint meeting of the fourteenth
                 international conference on genetic algorithms
                 (ICGA-2005) and the tenth annual genetic programming
                 conference (GP-2005).

                 ACM Order Number 910052",

Genetic Programming entries for Hiram A Firpi Erik Goodman Javier Echauz