Comparison Of Artificial Neural Network And Regression Analysis Application To Blood Pressure Data From Mouau Clinic:- Asomugha, Princewill C.

Authors: ASOMUGHA PRINCEWILL CHUKWUEMEKA | Natural & Applied Sciences Mathematics Projects 31 pages 4,320 words

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ABSTRACT

There are many studies about continuous blood pressure estimation using pulse transit time (PTT). In this study, we proposed the modeling method which could estimate Blood pressure (BP) conveniently and indirectly using PTT and some biometric parameter, 30 people participated in this study  electrodiogram (ECG) signals and biometric parameters such as weight, height, body mass index (BMI), length of arm and circumference of arm. Before modeling, we selected variables as predictors using statistical analysis. With these parameters, we compared artificial neural network (ANN) with multiple regression as an estimating method of BP. We estimated value and reference value, acquired from an approved device. The result from other researchers showed that the ANN model had better accuracy than the multiple regressions model. evaluated the mean differences and standard deviations between a

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