使用Windkessel模型量化压力波形的不确定性量化.
Joaquín Flores-Gerónimo1, Alireza Keramat1, Jordi Alastruey2
1Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
International journal for numerical methods in biomedical engineering
|September 6, 2024
概括
这项研究引入了一种有效的方法来量化Windkessel (WK) 模型血压预测中的不确定性. 该方法准确地估计了WK参数的不确定性,有助于可靠的心血管评估.
科学领域:
- 生物医学工程 生物医学工程
- 数学建模的数学建模
- 心血管生理学心血管生理学
背景情况:
- 风 (WK) 模型简化了动脉循环,但它具有固有的不确定性,影响了生理预测.
- 准确的血压估计对于临床应用至关重要,包括可穿戴技术.
研究的目的:
- 为WK模型开发一种高效的基于梯度的不确定性量化 (UQ) 方法.
- 评估WK参数和流量波形不确定性对压力波形预测的影响.
- 评估UQ在心血管建模中的临床相关性.
主要方法:
- 为UQ开发了一个基于局部梯度的配方.
- 对蒙特卡洛模拟验证了该方法.
- 将UQ方法应用于健康成年人的in silico数据库,并分析了特定的压力元件.
主要成果:
- 该方法在WK参数不确定性方面与蒙特卡洛有很好的一致性,但在流波形不确定性方面较少.
- 结果质量上与现有的in silico和in vivo数据对大动脉压力不确定性保持一致.
- 周围阻力不确定性最影响系统/透气压的不确定性;合规不确定性影响脉冲压的不确定性.
结论:
- 基于扩张的UQ方法有效地将WK参数的不确定性传播到压力波形.
- 这种UQ方法提高了基于WK模型的压力估计的可靠性.
- 该方法对于评估可穿戴设备对血压测量的信心是有价值的.
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