mean gap between nor and osa and small spread about respective means were chosen as the features for class discrimination nor or osa 80 as shown in fig1 such features can for example be identified by a minimum deviation to mean ratio fig5 illustrates the signal processing steps on an ekg clip according to the example of 198 clips the number of clips the number of encoded images four shown and the number of glcms normalized or not can vary in alternate embodiments consistent with the present invention fuzzy logic systems have been used in previous studies to distinguish classify between inputs with overlapping input values j m mendel u201c uncertain rule based fuzzy logic systems introduction and new directions u201d prentice hall n j 2001 membership functions mfs used in fuzzy logic systems assign a membership degree between 0 low and 1 high to the range of inputs sigmoid mfs were chosen for the example of 198 clips where a sigmoidal function can be written as in the exemplary embodiment of 198 clips a singleton fuzzy system was employed the system is made up of input fuzzifier rule fed inference engine and a defuzzifier the values of the selected features are used as inputs each value is.