• DocumentCode
    1281665
  • Title

    Classification of ECG waveforms by using RCE neural network and genetic algorithms

  • Author

    Ölmez, T.

  • Author_Institution
    Fac. of Electr. & Electron., Istanbul Tech. Univ., Turkey
  • Volume
    33
  • Issue
    18
  • fYear
    1997
  • fDate
    8/28/1997 12:00:00 AM
  • Firstpage
    1561
  • Lastpage
    1562
  • Abstract
    A modified restricted Coulomb energy (RCE) neural network is proposed for electrocardiogram (ECG) waveform classification. In the new algorithm, the locations of the centres of the hyperspheres are optimised in order to minimise the number of hyperspheres used and to improve classification performance. Optimisation is carried out with the genetic algorithm
  • Keywords
    electrocardiography; genetic algorithms; medical signal processing; neural nets; pattern classification; waveform analysis; electrocardiogram waveform classification; genetic algorithm; hypersphere; optimisation; restricted Coulomb energy neural network;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19971019
  • Filename
    629661
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1281665