Fuzzy decision-making in electrocardiography

Abstract This paper investigates the reasons for the use of fuzzy sets in the computerized diagnosis of electrocardiograms (ECG). The main points which suggest the use of fuzzy heuristics in this area are the imprecise class (i.e., disease) boundaries, the imprecise perception of measurements, and the imprecise relation between measurements and diseases. The reason to prefer fuzzy decision rules to the conventional yes/no approach is based upon the improved stability of a soft system in comparison with a hard but unrealistic decision-maker. The principal characteristics of the CARDS system developed in Padova are described.

[1]  Glenn Shafer,et al.  Implementing Dempster's Rule for Hierarchical Evidence , 1987, Artif. Intell..

[2]  J. Cornfield,et al.  Clinical application of a second generation electrocardiographic computer program. , 1975, The American journal of cardiology.

[3]  J. L. Willems,et al.  Comparison of multigroup logistic and linear discriminant ECG and VCG classification. , 1987, Journal of electrocardiology.

[4]  Lotfi A. Zadeh,et al.  A Theory of Approximate Reasoning , 1979 .

[5]  Edward H. Shortliffe,et al.  A model of inexact reasoning in medicine , 1990 .

[6]  James F. Baldwin,et al.  Evidential support logic programming , 1987 .

[7]  R. Degani,et al.  Computerized Electrocardiography and Fuzzy Sets , 1986 .

[8]  Hubert V. Pipberger,et al.  Digital Recording of Electrocardiographic Data for Analysis by a Digital Computer , 1959 .

[9]  Judea Pearl,et al.  Distributed Revision of Composite Beliefs , 1987, Artif. Intell..

[10]  Henri Prade,et al.  Approximate Reasoning in a Rule-Based Expert System using Possibility Theory: A Case Study , 1986, IFIP Congress.

[11]  P W Macfarlane,et al.  A critical appraisal of computer assisted ECG interpretation. , 1979, Journal of medical engineering & technology.

[12]  Philippe Smets.  Non-standard logics for automated reasoning , 1988 .

[13]  Marilyn Bohl,et al.  Information processing , 1971 .

[14]  Alessandro Saffiotti,et al.  An AI view of the treatment of uncertainty , 1987, The Knowledge Engineering Review.

[15]  P W Macfarlane,et al.  Establishment of a reference library for evaluating computer ECG measurement programs. , 1985, Computers and biomedical research, an international journal.

[16]  John D. Lowrance,et al.  An Inference Technique for Integrating Knowledge from Disparate Sources , 1981, IJCAI.

[17]  Pietro Torasso,et al.  Fuzzy characterization of coronary disease , 1981 .

[18]  Steen Andreassen,et al.  MUNIN - A Causal Probabilistic Network for Interpretation of Electromyographic Findings , 1987, IJCAI.

[19]  G O Barnett,et al.  How medical professionals evaluate expressions of probability. , 1986, The New England journal of medicine.

[20]  Nils J. Nilsson,et al.  SEMANTIC NETWORK REPRESENTATIONS IN RULE-BASED INFERENCE SYSTEMS1 , 1978 .

[21]  J. Doyle.  Some theories of reasoned assumptions : an essay in rational psychology , 1983 .

[22]  K. Adlassnig,et al.  Representation and semiautomatic acquisition of medical knowledge in CADIAG-1 and CADIAG-2. , 1986, Computers and biomedical research, an international journal.