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Research Of The Key Techniques Of Intelligent Dynamic Blood Pressure Monitor Based On The Fuzzy PID Control

Posted on:2018-12-15Degree:MasterType:Thesis
Country:ChinaCandidate:J ZhangFull Text:PDF
GTID:2322330518460168Subject:Electronic and communication engineering
Abstract/Summary:PDF Full Text Request
Cardiovascular disease is one of the most common diseases in the world,and as people become more and more concerned about their own physical health,people are increasingly an urgent need a instrument that accurately reflects human blood pressure.Studies have shown that night dynamic blood pressure is an important indicator of assess the efficacy after 24 hours of antihypertensive therapy.However,electronic blood pressure monitor usually use cuff to measure blood pressure at present,because it adopts a method that first inflation and then deflation to measure blood pressure will be further bring some problems such as long time for measurement,a larger effect on the participants,disturb sleep,and can’t realize dynamic blood pressure measurement at night.So design a new measuring instrument is extremely urgent.In this context,starting from the urgent needs of the market,extensively draw lessons from the experience at home and abroad and in-depth study of blood pressure measurement methods,this paper designed a intelligent dynamic blood pressure measurement system,which can be used for night measurements.For the traditional cuff-type oscillometric method can not achieve the dynamic blood pressure measurement process and not suitable for night blood pressure monitoring,an improved oscillometric method was proposed to achieve the night dynamic measurement in this paper.Realization of heart variability analysis algorithm and quantitative ladder step-up process is two key techniques for improved oscillometric measurement to measure ambulatory blood pressure.In order to achieve the dynamic measurement process of the improved oscillometric method,it is necessary that detect the heart rate signal in heart measurement mode and combined with heart rate variability analysis and timer technology.In the above process,Welch algorithm was used to achieve heart rate variability analysis.And in order to improve the resolution of Welch algorithm,window processing is implemented by a combination window.The heart rate variability analysis experiment results showed that error between the program and standard MATLAB program from Physionet is small,which basically achieved the requirements of heart rate variability analysis and intelligent dynamic blood pressure measurement.In order to achieve the quantitative ladder step-up process,this paper adopted the fuzzy PID control algorithm to adjust the slope of the pressurization process to realize the linear pressurization process.For facilitating analysis of control errors,it is necessary that track and save pressure signalby a corresponding host computer program.The quantitative ladder step-up experiment results showed that the fuzzy PID control algorithm achieves a small control error,and the corresponding pulse wave signal can also be observed in this process,which indicates that the blood pressure measurement method is feasible,furthermore basically reached the requirements of night blood pressure measurement.
Keywords/Search Tags:night dynamic blood pressure monitoring, improved oscillometric method, Welch algorithm, fuzzy PID
PDF Full Text Request
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