Monfared Mohammadali, Gamage Peshala T, Loghmani Ali, Taebi Amirtahà
Department of Bioengineering, Lehigh University, Bethlehem, Pennsylvania, USA.
Biomedical Engineering Program, Mississippi State University, Mississippi State, Mississippi, USA.
Int J Numer Method Biomed Eng. 2025 May;41(5):e70047. doi: 10.1002/cnm.70047.
This paper presents a comprehensive examination of finite element modeling (FEM) approaches for seismocardiography (SCG), a non-invasive method for assessing cardiac function through chest surface vibrations. The paper provides a comparative analysis of existing FEM approaches, exploring the strengths and challenges of various modeling choices in the literature. Additionally, we introduce a sample framework for developing FEM models of SCG, detailing key methodologies from governing equations and meshing techniques to boundary conditions and material property selection. This framework serves as a guide for researchers aiming to create accurate models of SCG signal propagation and offers insights into capturing complex cardiac mechanics and their transmission to the chest surface. By consolidating the current methodologies, this paper aims to establish a reference point for advancing FEM-based SCG modeling, ultimately improving our understanding of SCG waveforms and enhancing their reliability and applicability in cardiovascular health assessment.
本文全面考察了用于心震图(SCG)的有限元建模(FEM)方法,心震图是一种通过胸部表面振动评估心脏功能的非侵入性方法。本文对现有有限元建模方法进行了比较分析,探讨了文献中各种建模选择的优势和挑战。此外,我们介绍了一个用于开发心震图有限元模型的示例框架,详细阐述了从控制方程、网格划分技术到边界条件和材料属性选择的关键方法。该框架为旨在创建准确的心震图信号传播模型的研究人员提供了指导,并为捕捉复杂的心脏力学及其向胸部表面的传递提供了见解。通过整合当前的方法,本文旨在为推进基于有限元的心震图建模建立一个参考点,最终增进我们对心震图波形的理解,并提高其在心血管健康评估中的可靠性和适用性。