Type-2 Fuzzy System Based Blood Pressure Parameters Estimation

Blood pressure parameters; Systolic, Diastolic and Mean Blood Pressure, have high correlation relationship with heart rate, but this relationship is nonlinear, multimode, and ambiguity. Type-2 Fuzzy is an intelligent technique and it has high capability to deal with the problem with high uncertainty that blood pressure parameters with heart rate relationship can be classify under them. This paper presents an Interval Type-2 Fuzzy System to estimate Systolic, Diastolic and Mean blood pressure; based on the relationship between systolic, diastolic and mean blood pressures and heart rate. The Interval Type-2 Fuzzy System is used to estimate systolic, diastolic and mean blood pressures values of thirty cases. The results are compared with real reading of systolic, diastolic and mean blood pressure and very encouraging results are achieved; the absolute value of mean of difference between real systolic, diastolic and mean blood pressures and estimated systolic, diastolic and mean blood pressures are less than 5 mmHg.