Mangado Nerea, Piella Gemma, Noailly Jérôme, Pons-Prats Jordi, Ballester Miguel Ángel González
Simbiosys Group, Universitat Pompeu Fabra , Barcelona , Spain.
International Center for Numerical Methods in Engineering (CIMNE) , Barcelona , Spain.
Front Bioeng Biotechnol. 2016 Nov 7;4:85. doi: 10.3389/fbioe.2016.00085. eCollection 2016.
Computational modeling has become a powerful tool in biomedical engineering thanks to its potential to simulate coupled systems. However, real parameters are usually not accurately known, and variability is inherent in living organisms. To cope with this, probabilistic tools, statistical analysis and stochastic approaches have been used. This article aims to review the analysis of uncertainty and variability in the context of finite element modeling in biomedical engineering. Characterization techniques and propagation methods are presented, as well as examples of their applications in biomedical finite element simulations. Uncertainty propagation methods, both non-intrusive and intrusive, are described. Finally, pros and cons of the different approaches and their use in the scientific community are presented. This leads us to identify future directions for research and methodological development of uncertainty modeling in biomedical engineering.
由于具有模拟耦合系统的潜力，计算建模已成为生物医学工程中的一种强大工具。然而，实际参数通常并不确切知晓，且生物体中存在固有变异性。为应对这一情况，人们已使用概率工具、统计分析和随机方法。本文旨在回顾生物医学工程有限元建模背景下的不确定性和变异性分析。介绍了表征技术和传播方法，以及它们在生物医学有限元模拟中的应用示例。描述了非侵入式和侵入式的不确定性传播方法。最后，阐述了不同方法的优缺点及其在科学界的应用情况。这使我们能够确定生物医学工程中不确定性建模的未来研究方向和方法发展方向。
