Type-2 Fuzzy Classification of Blood Pressure Parameters
Usman Mahmood, Adel Ali Al-Jumaily, Moha'med O. Al-Jaafreh · 2007
Blood pressure measurement is a highly sensitive task, because even breathing can cause variation as high as 10 mmHg in reading of blood pressure. Due to the presence of high level of uncertainty; the linear model for blood pressure classification is not appropriate. Fuzzy logic systems are capable of producing precise solutions from vague, incomplete, or approximate information, by accommodating the ambiguities and logic. This paper presents a novel type-2 Fuzzy Logic System to estimate and classify blood pressure parameters in appropriate linguistic description. Firstly, a type-2 fuzzy logic system for the classification of blood pressure parameters is designed. Secondly, the proposed model is demonstrated by graphical user interface. The designed fuzzy model for the classification of blood pressure parameters gives more realistic results than linear model. The outcome of this paper is a friendly graphic user interface (GUI). The proposed model takes crisp value of heart rate as an input and generates crisp reading of blood pressure along with its appropriate linguistic classification, e.g., normal, low, or high etc; to provide more clear information to the general public about their cardiac health. The system has been tested and the computed percentage is less than 10% error values of all ten subjects' systolic, diastolic and mean blood pressure.