ایجاد یک بستر نرم‌افزاری برای شبیه‌سازی روش نوسان‌سنجی در اندازه‌گیری فشار خون با توجه به اثرات فشار خارجی بر سطح مقطع رگ

محورهای موضوعی : انرژی های تجدیدپذیر

فرنوش شفیعی ¹ (دانشکده مهندسی برق- واحد نجف‌آباد، دانشگاه آزاد اسلامی، نجف‌آباد، ایران)
ندا بهزادفر ² (مرکز تحقیقات پردازش دیجیتال و بینایی ماشین- واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران)

تاریخ دریافت : 1400/12/25 تاریخ پذیرش : 1401/04/15 تاریخ انتشار : 1401/04/15

کلید واژه: فشار خون, سیستول, دیاستول, نوسان‌سنجی,

چکیده مقاله :

فشار خون بالا از عوامل خطرساز بیماری های عروق کرونر قلب است که به بدن آسیب جدی می رساند. تشخیص به موقع بیماری فشار خون می تواند فرد را از عوارض این بیماری مصون دارد. از روش های غیرتهاجمی اندازه گیری فشار خون، روش نوسان سنجی است. این روش با اندازه گیری نوسانات ایجاد شده از تقابل فشار شریان و فشار کاف پیچیده شده به دور بازو، اقدام به تخمین مقادیر فشار خون می نماید.در این پژوهش هدف ایجاد یک بستر نرم افزاری برای شبیه سازی رفتار رگ و کاف است که بتوان از آن برای بررسی عملکرد الگوریتم های مختلف اندازه گیری فشار خون به روش اسیلومتریک استفاده کرد. در این راستا، تمام اجزاء اعم از کاف، شریان بازویی، چگونگی استخراج نوسانات از منحنی فشار خون و تخمین فشارهای سیستول و دیاستول مدل سازی خواهند شد. با پیاد ه سازی مدل سازی در نرم افزار متلب می توان بدون نیاز به محیط کلینیکی، اندازه گیری فشار خون را مورد ارزیابی قرار داد. با وارد نمودن مشخصات اصلی فشار شریان به عنوان ورودی، می توان در خروجی پارامترهای فشار خون را به دست آورد.خروجی مدل سازی با نمونه های واقعی 50 مورد اندازه گیری شده مورد مقایسه و دقت تخمین فشارهای سیستول و دیاستول به ازای دو الگوریتم حداکثر نوسان و حداکثر/حداقل شیب با در نظر گرفتن مقادیر واقعی بررسی شد. نتایج حاصل از مقایسه عملکرد مدل سازی با مقادیر اندازه گیری شده حاکی از آن است که الگوریتم حداکثر نوسان، عملکرد مناسب تری نسبت به الگوریتم حداکثر/حداقل شیب دارد. مقدار متوسط خطا در الگوریتم حداکثر نوسان برای فشار حداکثر نوسان (MAP)، سیستول و دیاستول به ترتیب برابر با 64/0±9/1، 82/0±6/1 و1/5±8/6 به دست آمده است.

چکیده انگلیسی:

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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