摘要
目的通过提出一种传输线模型和输入阻抗递归算法的计算方法,数值仿真人体动脉树中脉搏波的传播过程,分析个体差异性和动脉树各参数对脉搏波的影响,为动脉树生理和病理变化分析提供参考。方法利用由大中动脉构成的55段人体动脉树建立传输线模型,采用递归算法计算动脉树各点的输入阻抗,仿真计算动脉树中各段血压和血流的分布图。在此基础上比较不同身高、心率、每搏量、内径、壁厚等参数对脉搏波传播和血压分布的影响。结果仿真结果和一般脉搏波传播规律相一致,验证了该方法的有效性。不同参数对动脉树中脉搏波传播的影响有较大差异且呈现各自特征。结论基于传输线模型和递归算法的计算方法能有效仿真动脉树中脉搏波的传播过程,并准确反映个体差异性和动脉树血液动力学参数的变化对脉搏波的影响,是人体动脉树生理病理分析和诊断的重要辅助手段。
Objective To numerically simulate the propagation of pulse wave in human arterial tree by proposing a novel calculation method which combines a transmission line model and a recursive algorithm of input impedance,and to study the effects of individual differences and arterial tree parameters on pulse wave so as to provide references for the analysis on physiologic and pathologic characteristics of human arterial tree.Methods The transmission line model of human arterial tree was constructed,which consisted of 55-segment large and medium-sized arteries.The recursive algorithm was applied to compute the input impedance of arterial tree at each point.The blood pressures and flows of 55 arteries were calculated and showed in the distribution graphs.Based on this method,the effects of height,heart rate,stroke volume,internal radius and wall thickness on pulse wave propagation and blood pressure distribution were compared.Results The simulation results were in good agreement with the general rules of pulse wave propagation.The propagation of pulse wave in arterial tree showed significantly different characteristics for different parameters.Conclusions The proposed method can effectively simulate the propagation of pulse wave in arterial tree and accurately reflect the effects of individual differences and hemodynamics parameters on pulse wave propagation,and it is an important assistant means for the pathophysiologic analysis and diagnosis of human arterial tree.
出处
《医用生物力学》
EI
CAS
CSCD
北大核心
2012年第5期527-533,共7页
Journal of Medical Biomechanics
基金
国家自然科学基金资助项目(50877082)
重庆市教委科学技术研究项目(KJ120817)
中央高校基本科研业务费资助(CDJXS11150024)
关键词
数值仿真
脉搏波传播
传输线模型
动脉树
输入阻抗
Numerical Simulation
Pulse wave propagation
Transmission line model
Arterial tree
Input impedance