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Computerized Electrocardiography and Fuzzy Sets

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

Abstract

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.

Keywords

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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References

  1. Bailey, J.J., Itscoitz, S.B., Hirshfeld, Jr., J.W., Grauer, L.E., and Horton, M.R. (1974 ). A method for evaluating computer programs for electrocardiographic interpretation. I. Application to the experimental IBM program of 1971. Circulation 50, 73–79.Google Scholar
  2. Bailey, J.J., Itscoitz, S.B., Hirshfeld, Jr., J.W., Grauer, L.E., and Horton, M.R. (1974). A method for evaluating computer programs for electrocardiographic interpretation. II. Application to version D of the PHS program and the Mayo Clinic program of 1968. Circulation 50, 80–87.Google Scholar
  3. Bailey, J.J., Horton. M. and Itscoitz, S.B. (19T6). The importance of reproducibility testing of computer programs for electrocardiographic interpretation: application to the automatic vectorcardiographic analysis program (AVA 3.4). Comput. Biomed. Res. 9, 307–316.CrossRefGoogle Scholar
  4. Degani, R., and Pacini, G. (1978). Linguistic pattern recognition algorithms for computer analysis of ECG. Proc. BIOSIGMA 78, Paris, pp.18–26.Google Scholar
  5. Dubois, D. and Prade, H. (1978). Operations on fuzzy numbers. Int. J. Systems Sci. 9, 613–626.MathSciNetzbMATHCrossRefGoogle Scholar
  6. Dubois, D. and Prade, H. (1983). Unfair coins and necessity measures: towards a possibilistic interpretation of histograms. Fuzzy Sets and Systems 10, 15–20.MathSciNetzbMATHCrossRefGoogle Scholar
  7. Jenkins, J.M. (1981). Computerized electrocardiography. CRC Critical Rev. Bioeng. 6, 307–350.Google Scholar
  8. Macfarlane, P.W. (1979). A critical appraisal of computer assisted ECG interpretation. J. Med. Eng. & Technol. 3, 281–287.CrossRefGoogle Scholar
  9. Pipberger, H.V., McCaughan, D., Littmann, D., Pipberger, H.A., Cornfield J., Dunn, R.A., Batchlor, C.D., and Berson, A.S. (1975). Clinical application of a second generation ECG computer program. Am. J. Cardiol. 35, 597–608.CrossRefGoogle Scholar
  10. Taback, L., Marden, E., Mason, H.L. and Pipberger, H.V. (1959) Digital recording of ECG data for analysis by a digital computer. IRE Trans. Med. Elect. ME-6, 167–171.CrossRefGoogle Scholar
  11. Van Bemmel, J.H., and Willems, J.L., editors (1977). Trends in computer processed electrocardiograms. Amsterdam, North Holland.Google Scholar
  12. Wartak, J. (1970). Computers in electrocardiography. C.C. Thomas, Springfield, 111.Google Scholar
  13. Willems, J.L. et al. (the CSE European Working Party) (1985). Assessment of the performance of ECG computer programs with the use of a reference data base. Circulation 71, 523–534.CrossRefGoogle Scholar
  14. Zadeh, L.A. (1979). A theory of approximate reasoning. In: Machine Intelligence 9 (J.E. Hayes, D. Michie and L.I. Mikulich, eds.), pp. 149–194. Elsevier, New York.Google Scholar

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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