Intelligent System Based on Genetic Programming for Atrial Fibrillation Classification

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  title =        "Intelligent System Based on Genetic Programming for
                 Atrial Fibrillation Classification",
  author =       "Olga Valenzuela and Ignacio Rojas and 
                 Francisco Javier Rojas and Hector Pomares and Jose Luis Bernier and 
                 Luis Javier Herrera and Alberto Guillen",
  journal =      "Applied Artificial Intelligence",
  year =         "2009",
  number =       "10",
  volume =       "23",
  pages =        "895--909",
  publisher =    "Taylor \& Francis Group",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "0883-9514",
  DOI =          "doi:10.1080/08839510903363420",
  bibdate =      "2009-11-17",
  bibsource =    "DBLP,
  abstract =     "This article focuses on the development of intelligent
                 classifiers in the area of biomedicine, focusing on the
                 problem of diagnosing cardiac diseases based on the
                 electrocardiogram (ECG), or more precisely, on the
                 differentiation of the types of atrial fibrillations.
                 First of all, we will study the ECG, and the treatment
                 of the ECG in order to work with it with this specific
                 pathology. In order to achieve this we will study
                 different ways of elimination, in the best possible
                 way, of any activity that is not caused by the
                 auriculars. We will study and imitate the ECG treatment
                 methodologies and the characteristics extracted from
                 the electrocardiograms that were used by the
                 researchers who obtained the best results in the
                 Physionet Challenge, where the classification of ECG
                 recordings according to the type of atrial fibrillation
                 (AF) that they showed, was realized. We will extract a
                 great amount of characteristics, partly those used by
                 these researchers and additional characteristics that
                 we consider to be important for the distinction
                 previously mentioned. A new method based on
                 evolutionary algorithms will be used to realize a
                 selection of the most relevant characteristics and to
                 obtain a classifier that will be capable of
                 distinguishing the different types of this pathology.",

Genetic Programming entries for Olga Valenzuela Cansino Ignacio Rojas Ruiz Francisco Javier Rojas Ruiz Hector Pomares Jose Luis Bernier Villamor Luis Javier Herrera Maldonado Alberto Guillen Perales