Classification of Arrhythmia Types Using Cartesian Genetic Programming Evolved Artificial Neural Networks

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{conf/eann/AhmadKM13,
  author =       "Arbab Masood Ahmad and Gul Muhammad Khan and 
                 Sahibzada Ali Mahmud",
  title =        "Classification of Arrhythmia Types Using Cartesian
                 Genetic Programming Evolved Artificial Neural
                 Networks",
  editor =       "Lazaros S. Iliadis and Harris Papadopoulos and 
                 Chrisina Jayne",
  booktitle =    "Proceedings of 14th International Conference on
                 Engineering Applications of Neural Networks (EANN
                 2013), Part {I}",
  year =         "2013",
  volume =       "383",
  series =       "Communications in Computer and Information Science",
  pages =        "282--291",
  address =      "Halkidiki, Greece",
  month =        sep # " 13-16",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming, CGPANN, artificial neural network,
                 neuro-evolution, CVD, cardiac arrhythmias,
                 classification, fiducial points, LBBB beats, RBBB
                 beats",
  isbn13 =       "978-3-642-41012-3",
  bibdate =      "2014-01-25",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/eann/eann2013-1.html#AhmadKM13",
  URL =          "http://dx.doi.org/10.1007/978-3-642-41013-0",
  DOI =          "doi:10.1007/978-3-642-41013-0_29",
  abstract =     "Cartesian Genetic programming Evolved Artificial
                 Neural Network (CGPANN) is explored for classification
                 of different types of arrhythmia and presented in this
                 paper. Electrocardiography (ECG) signal is preprocessed
                 to acquire important parameters and then presented to
                 the classifier. The parameters are calculated from the
                 location and amplitudes of ECG fiducial points,
                 determined with a new algorithm inspired by
                 Pan-Tompkins's algorithm [14]. The classification
                 results are satisfactory and better than contemporary
                 methods introduced in the field.",
}

Genetic Programming entries for Arbab Masood Ahmad Gul Muhammad Khan Sahibzada Ali Mahmud

Citations