Abstract:
Blood pressure measurement is a highly sensitive task,
because even breathing can cause variation as high as
10mmHg 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.
