Create a Software Platform for Simulation of Oscillometric Method in Blood Pressure Measuring Regarding the Effects of External Pressure on the Cross-Section of Arterial

Subject Areas : Renewable energy

Farnoosh  Shafiei ¹ (Department of Electrical Engineering- Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Neda  Behzadfar ² (Digital Processing and Machine Vision Research Center- Najafabad Branch, Islamic Azad University, Najafabad, Iran)

Received: 2022-03-16 Accepted : 2022-07-06 Published : 2022-07-06

Keywords: Blood pressure, oscillometric, systole, diastole,

Abstract :

High blood pressure is one of the risk factors for coronary heart disease, which causes severe damage to the body. A timely diagnosis of blood pressure disease can protect a person from the complications of this disease. A noninvasive method for measuring blood pressure is oscillometric. Accordingly, the blood pressure is estimated by measuring the oscillations created by the opposition of the arterial pressure and the pressure of the cuff wrapped around the arm. In this research, the main goal is to create a software platform for simulating the behavior of veins and cuffs, which can be used to check the performance of different blood pressure measurement algorithms by the Oscillometric method. In this regard, all components including the cuff, and brachial artery, how to extract oscillations from the blood pressure curve, and estimate systolic and diastolic pressures will be modeled. By modeling in MATLAB, the blood pressure measurement can be evaluated without the need for a clinical condition. The output of blood pressure parameters can be obtained by entering the main characteristics of arterial pressure as input. The output of modeling with real samples of 50 measured cases and the accuracy of estimating systolic and diastolic pressures according to two algorithms of maximum oscillation and The maximum/minimum slope were checked considering the actual values. The results of comparing the modeling performance with the measured values indicate that the maximum oscillation algorithm has a better performance than the maximum/minimum slope algorithm. The mean error value in the maximum oscillation algorithm for maximum amplitude pressure, systole, and diastole is 0.64 ± 1.9, 0.82 ± 1.6, and 5.1 ± 6.8, respectively.

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