Decision making in boundary problems of computerized electrocardiology using fuzzy sets

The effective source of the cardiac electric field is represented by vectorcardiographic vectors in an abstract but physiologically meaningful way. In vectorcardiography, all information is compressed into localization of vector end-points. Dipolar electrocardiography allows the boundary problems to be attacked in a more effective quantitative way. The ordinary set of discrete elements (points) on the image surface may be treated as consisting of two fuzzy subsets at any instant of time, those of activated and those of non-activated elements. Attributing to each element of the reference spherical surface the probability of being activated at a given instant of time as its characteristic membership function, the reference fuzzy subset of activated elements is obtained. Medical diagnosis is decision making in a fuzzy environment and fuzzy sets help to handle the data in diagnostic utilization of the cardiac electric field