基于流体网络的人体血液体循环分析

发布时间：2017-12-27 10:16

本文关键词：基于流体网络的人体血液体循环分析　出处：《中国生物医学工程学报》2017年05期 　论文类型：期刊论文

【摘要】：基于中医脉诊原理,研究人体各器官流阻变化对血流动力学参数的影响。建立人体血液体循环流体网络模型,采用10次谐波血流动力学表达式模拟心脏输出。改变各器官流阻,流阻比η分别取值0.5、1.0、1.5、2.0、2.5、3.0,利用平均法求解模型。假设心输出量一定,结果表明:随着流阻增大对应分支流量下降;不同分支流阻增大均能使主动脉平均压力上升,当流阻比η=3.0时,脑、肝、肾、胃、肠、脾分支流阻增大引起主动脉压力较正常值分别增大23.29%、16.42%、14.67%、9.69%、9.59%、7.82%;肝和肾分支流阻变化对桡动脉影响较大,当流阻比η=3.0时,桡动脉压力较正常值分别增大22.85%和11.17%,而其他器官分支流阻变化对桡动脉影响很小;对于桡动脉压力谐波振幅,脑分支流阻变化的影响最大,其次是肝和肾,而胃肠脾的影响很小。可见,该模拟研究方法可以得到人体血流动力学参数与各器官流阻变化之间的理论联系,为中医脉诊提供一些理论依据。
[Abstract]:Based on the principle of TCM, influence of the change of flow resistance on the hemodynamic parameters of each organ of the human body. The body circulation fluid network model of human body was established, and the expression of 10 harmonic hemodynamic expressions was used to simulate the cardiac output. Changes in various organs of flow resistance, flow resistance ratio is 0.5 and 1 respectively, 1.5, 2, 2.5, 3, using the average method to solve the model. Assuming the cardiac output, the results show that with the increase of flow resistance of the corresponding branch flow decreased; different branch flow resistance increase can cause the mean aortic pressure increases, when the ratio of =3.0 flow resistance, brain, liver, kidney, stomach, intestine, spleen branch flow resistance increase caused by aortic pressure than the normal value increased 23.29%, respectively 16.42%, 14.67%, 9.69%, 9.59%, 7.82%; liver and kidney branch flow resistance change has great influence on the radial artery, when the ratio of =3.0 flow resistance, radial artery pressure than normal values were increased by 22.85% and 11.17%, and other organs branch flow resistance change influence on the radial artery is small; the radial artery pressure harmonic amplitude. Effect of brain impedance branch flow is the largest, followed by liver and kidney, but have little influence of gastrointestinal spleen. Therefore, the method can get the simulation theory with human blood dynamics parameters and flow resistance change between different organs, provide some theoretical basis for tcm.
【作者单位】：重庆大学动力工程学院低品位能源利用技术及系统教育部重点实验室;
【分类号】：O35;R241
【正文快照】： 引言流体网络分析在很多领域中都有广泛应用。在生物动力学领域中,人体血液循环系统是一种周期性受迫的复杂流体网络,通过对其建模,可以得到血液流量、压力等血流动力学参数。在人体血液循环系统建模中,主要采用电路网络模拟和流体网络解算两种方法,而早期研究采用电路网络模

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