Knowledge-Based Fuzzy Classification of Signal Events

  • S. Barro
  • R. Ruiz
  • R. Marín
  • J. Presedo
  • A. Bugarín
  • J. Mira
Part of the Lecture Notes in Medical Informatics book series (LNMED, volume 45)

Abstract

This work presents, and exemplifies in the field of electrocardiographic (ECG) signal processing, aspects of the design of Knowledge-based Fuzzy Classifiers of signal events. These classifiers add schemes for the conversion of numerical and symbolic information, and a later knowledge based treatment of this information to the classical processes of numerical feature extraction. This way, a feature space made up of linguistic variables is defined. The classification of an event in this space is approached through a process of comparison with a series of prototypes acquired from the expert.

Keywords

Europe 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • S. Barro
    • 1
  • R. Ruiz
    • 2
  • R. Marín
    • 1
  • J. Presedo
    • 1
  • A. Bugarín
    • 1
  • J. Mira
    • 3
  1. 1.Dept. Electrónica. Facultad de FísicaUniversidad de SantiagoSpain
  2. 2.ETSII de CartagenaUniversidad de MurciaSpain
  3. 3.Dept. Informática y AutomáticaUNEDMadridSpain

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