Computerized Electrocardiography and Fuzzy Sets

  • R. Degani
  • G. Bortolan
Part of the NATO ASI Series book series (ASIC, volume 177)


This paper describes a system for the analysis of the diagnostic electrocardiogram (ECG). The main emphasis is placed on the problems of ECG description, medical knowledge representation, clinical decision. In all these fields the use of fuzzy sets is a powerful tool to treat imprecision and vagueness. Electrocardiographic features are represented by fuzzy linguistic expressions; pathological classes are defined in terms of fuzzy descriptors; diagnostic classification is obtained by means of the composition of fuzzy relations. The result is (for all possible pathologies) a group of three fuzzy sets defined in the interval [0,1], each one representing the relative (fuzzy) degree of membership of the ECG under examination in one of the three classes: Normal, Abnormal, Borderline.


Left Ventricular Hypertrophy Possibility Distribution Linguistic Description Fuzzy Descriptor Evaluate Computer Program 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© D. Reidel Publishing Company 1986

Authors and Affiliations

  • R. Degani
    • 1
  • G. Bortolan
    • 1
  1. 1.National Research CouncilInstitute for Research on System Dynamics and Bioengineering (LADSEB)PadovaItaly

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