Multidimensional Blood Circulation System Modeling And Pulse Signal Analysis

Pulse diagnosis is a traditional diagnosis method of traditional Chinese medicine,and it is a concrete manifestation of the "holistic view" of traditional Chinese medicine.TCM perceives pulse pulsations through fingers,and conducts dialectical analysis of pulse images based on pulse diagnosis experience to achieve assessment and judgment of human health status.Because Chinese medicine practitioners' pulse and pulse diagnosis experience varies from person to person,there are certain differences in the description and discrimination of the same pulse by different doctors.At the same time,the pulse has "string,tightness,floating,sputum,and exhibitions.The characteristics of the next difficult to make the pulse diagnosis of TCM have problems such as poor reproducibility,inconsistent parameters,and difficulty in distinguishing the same pulse of different nature.In view of the above problems,this paper constructs a multi-dimensional blood circulation system model from the perspective of biological fluid mechanics,and explores the mechanism of pulse formation.Then,the collected clinical pulse signals were analyzed to verify the correctness of the theoretical model.Firstly,based on the analogy relationship between cardiovascular parameters and circuit constants,the human cardiovascular network model was established to explore the pulse signal.The left circulatory part of the model was simulated,and the left ventricular pressure LVP,left atrial pressure LAP,arterial pressure AP,aortic pressure AoP,aortic blood flow QT,left ventricular volume LVV and other important indicators were obtained.Subsequently,the model parameters were changed.Simulation of various heart failure conditions.The left ventricular output blood flow was used as a model to simulate the excitation source signal of the left-hand part of the elastic cavity to obtain important parameters such as blood flow velocity and blood pressure at the radial artery.Then,the influence of parameter changes on the pulse signal was explored.Then,based on the three-dimensional hemodynamic finite element method,a three-dimensional radial artery finite element model is established,and the model is combined with the human cardiovascular electrical network model to form a multi-dimensional blood circulation system model.Using the radial artery blood pressure of the electrical network model as the inlet pressure of the finite element model,the fluid-solid two-way coupling method was used to simulate the different stenosis of blood vessels,and the periodic changes of blood pressure,blood flow velocity and vessel wall deformation were obtained.In this case,we will explore the mechanism of pulse formation.Then,using the wearable pulse acquisition instrument independently developed by the research group,the patients with vascular sclerosis related to vascular stenosis were collected,and the pulse signal data were screened,processed and analyzed to determine the characteristics of pulse signals in patients with coronary heart disease and diabetes.The parameter value provides a reference for TCM intelligent diagnosis.The brachial artery pulse wave gain index rAI value and the pulse wave waveform characteristic K value,which characterize the degree of vascular sclerosis,were used as the key index.The rAI value and K value of the clinical data and the theoretical model data were compared and analyzed to verify the correctness of the theoretical model.Finally,the paper summarizes the establishment of the completed multidimensional blood circulation system model and the analysis of pulse signal,and gives the innovation of the paper.