@inproceedings{ChudacekPetrikHuptychLhotska:Lefkada2007,
  IS = { zkontrolovano 09 Jan 2009 },
  UPDATE  = { 2008-09-05 },
  author =      { Petr{\'\i}k, Milan and Chud{\'a}{\v c}ek, V{\'a}clav and 
                  Huptych, Michal and Lhotsk{\'a}, Lenka },
  title =       { Fuzzy rule based decision tree classification of {ECG} holter beats },
  year =        { 2007 },
  pages =       { 242--253 },
  booktitle =   { Advanced Topics in Scattering and Biomedical Engineering;
		  Proceedings of the Eighth International Workshop on Mathematical Methods in
                  Scattering Theory and Biomedical Engineering },
  editor =      { A. Charalambopoulos and D.I. Fotiadis and D. Polyzos },
  publisher =   { World Scientific },
  address =     { Singapore, Singapore },
  isbn =        { 978-981-281-484-5 },
  book_pages =  { 390 },
  month =       { September },
  day =         { 27--29 },
  venue =       { Lefkada, Greece },
  annote = { In this paper, we describe a method for clustering and
    diagnosis of ECG heart beats which are measured by a long time
    measuring using the holter.  The rules for clustering and
    diagnosis are given by an experience of the cardiologists and the
    domains of the ECG beat features are divided vaguely.  For this
    reason we have decided to use the fuzzy reasoning methods both for
    the clustering and for the diagnosis.  To cluster the ECG beast
    the Rule-Based Decision Tree method based on fuzzy intervals is
    presented.  The decision whether ECG beats in a cluster are
    ventricular is made using the medians of the clusters with the
    techniques of fuzzy reasoning. },
  keywords =    { ECG-beats clustering, holter, rule-based decision tree, 
                  fuzzy intervals, fuzzy rules },
  project =     { 1ET201210527 },
  prestige =    { local },
  authorship =  { 25-25-25-25 },
}