Premature Ventricular Contraction Recognition using a Fuzzy Maximum Approaching Degree

This work presents a new methodology for ventricular premature contraction arrhythmias recognition using set of geometrical attributes recently proposed and fuzzy maximum approaching degree. Pattern models based on triangular trapezoidal membership functions are committee comprising these is composed some statistical data, beyond mechanism manual selection automatic weighting each attribute. The obtained results show the efficiency validity approach, with 99.07%, 98.36% 99.79% accuracy, sensibility specificity, respectively, as good ones by state-of-art methods.