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Measurement Of Blood Pressure Waveform Based On Binocular Vision And Blood Pressure Simulation Platform

Posted on:2020-11-06Degree:MasterType:Thesis
Country:ChinaCandidate:J Y WangFull Text:PDF
GTID:2370330596478112Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
According to the report of the Chinese Cardiovascular Disease Report 2018,it is pointed out that the mortality of the population in China has increased continuously by the cardiovascular disease,and the prevention and treatment of cardiovascular diseases is imminent.The clinical study shows that in the early stage of cardiovascular disease,some abnormal information is already contained in the arterial blood pressure waveform.If the blood pressure waveform in the cardiac cycle can be non-invasively and accurately detected,so that the effective prevention and the diagnosis of the cardiovascular disease are realized.The existing blood pressure measurement methods have insufficient detection information,and the blood pressure simulation platform is not suitable for studying the internal mechanism of the three-dimensional dynamic displacement of the blood vessel wall caused by intravascular pressure changes and the relationship between the two.Based on the thought of pulse-cutting in traditional Chinese medicine,the blood pressure waveform measurement method based on binocular vision and blood pressure simulation platform is presented in this paper.First,the blood pressure simulation platform was developed based on the blood pressure forming mechanism and the fluid similarity theory.Through the industrial injection pump SP1-C1,suction filter bottle,medical silicone tube,simulated blood vessels and simulated blood and other equipment and materials,constitute a blood pressure simulation platform of the closed circulation pathway.An analog blood pressure waveform is synthesized by means of a gamma density function,and the task instruction is input into an upper control system of an industrial injection pump to realize the accurate control of the liquid pressure in the simulated blood vessel.Secondly,the simulated blood vessel motion information is obtained.The pressure signal in simulated vessel was detected by KY pressure transmitter.A threedimensional dynamic displacement detecting device for flexible film was developed to obtain three-dimensional dynamic displacement of the simulated vessel wall.At the same time,the performance analysis and reliability verification of the detection device were carried out.The experimental results show that in the static analysis,the maximum error of the three-dimensional dynamic displacement detection device for flexible film is 4.83%.In the dynamic analysis,the testing results of the device and the sensor are distributed within the consistency limit of ±1.96 SD,and the standard uncertainty is used as the evaluation index.According to the experimental.Thirdly,the multi-information synchronous acquisition system is designed and implemented.In order to ensure the validity and accuracy of the non-invasive measurements of simulated intravascular pressure waveforms,there must be synchronization among the groups used for the study.In this paper,a multi-information synchronous acquisition system based on LabVIEW platform and data acquisition card USB-4221 is designed,which is used to control the simultaneous acquisition of simulated blood vessel wall motion images by binocular vision synchronous acquisition system and the synchronization of fluid pressure in the invasively detecting tube of pressure transmitter.At the same time,the Chebyshev filter is designed to filter the real-time signal according to the random noise interference of the pressure signal in the simulated vessel.Finally,the simulated blood pressure waveform is obtained based on the threedimensional dynamic displacement of the simulated blood vessel wall.A multiinformation synchronous acquisition system is used to collect dynamic images of flexible thin film and simulate the pressure signal in the vessel tube.The threedimensional dynamic displacement of the label point is obtained by further calculation.Based on the wavelet transform theory and the actual situation of simulated blood pressure waveform prediction,the Daubechies wavelet function is selected as the excitation function to predict the simulated blood pressure waveform,and the pressure value in the simulated blood pressure tube is predicted.The experimental results show that the minimum accuracy of three-dimensional dynamic displacement prediction of simulated vascular pressure is 85%.Therefore,this method provides a new way for non-invasive blood pressure waveform detection.
Keywords/Search Tags:The fluid similarity theory, Pressure waveform, Vision measurement, The multi-information synchronous acquisition system, Wavelet neural network
PDF Full Text Request
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