一种向量拟合方法,用于1D循环模型的断片边界条件的自动估计
Elisa Fevola1, Tommaso Bradde1, Piero Triverio2
1Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy.
Cardiovascular engineering and technology
|June 12, 2023
概括
一种新方法使用时间域向量拟合精确估计了复杂的心血管边界状况. 这种方法可以提高血流模拟的准确性,因为它可以实现超出标准风模型的更高阶模型.
科学领域:
- 心血管生理学心血管生理学
- 计算流体动力学 计算流体动力学
- 生物医学工程 生物医学工程
背景情况:
- 准确的边界条件对于心血管血流模拟至关重要.
- 三元Windkessel模型是一种常见但有限的合边界条件.
- 对于Windkessel模型的系统参数估计和对更高阶模型的需求仍然是挑战.
研究的目的:
- 提出并验证一种用于估计高阶边界条件参数的方法,包括Windkessel模型.
- 研究更高阶边界条件对心血管模型准确性的影响.
- 开发一种适用于压力和流速波形的技术.
主要方法:
- 利用时间域向量拟合 (TDVF),一个系统识别算法.
- 在TDVF中,我们得出了差异方程,将输入 (流量) 和输出 (压力) 波形之间的关系近似化.
- 将该方法应用于1D人体全身动脉模型 (55个最大动脉).
主要成果:
- 拟议的方法准确地估计了任意顺序的边界条件.
- 在估计传统的Windkessel模型之外的更高阶边界条件方面证明了有用性.
- 通过噪音数据和生理变化 (精神压力) 展示了强度.
结论:
- 开发的方法准确地估计了心血管模拟的复杂边界条件.
- 高阶边界条件提高了血液流动模型的准确性.
- 时间域向量拟合提供了一个自动化的方法来估计这些先进的边界条件.
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