心血管引起的胸部振动的计算建模:地震心动图模拟的回顾和实用指南

IF 2.2 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Mohammadali Monfared, Peshala T. Gamage, Ali Loghmani, Amirtahà Taebi
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引用次数: 0

摘要

本文介绍了地震心动图(SCG)的有限元建模(FEM)方法的全面检查,这是一种通过胸部表面振动评估心功能的非侵入性方法。本文对现有的有限元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,我们还介绍了一个用于开发SCG有限元模型的示例框架,详细介绍了从控制方程和网格技术到边界条件和材料特性选择的关键方法。该框架为旨在创建准确的SCG信号传播模型的研究人员提供了指导,并为捕获复杂的心脏力学及其向胸部表面的传递提供了见解。本文旨在通过整合现有方法,为推进基于有限元的SCG建模建立参考点,最终提高我们对SCG波形的理解,提高其在心血管健康评估中的可靠性和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational Modeling of Cardiovascular-Induced Chest Vibrations: A Review and Practical Guide for Seismocardiography Simulation

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.

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来源期刊
International Journal for Numerical Methods in Biomedical Engineering
International Journal for Numerical Methods in Biomedical Engineering ENGINEERING, BIOMEDICAL-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.50
自引率
9.50%
发文量
103
审稿时长
3 months
期刊介绍: All differential equation based models for biomedical applications and their novel solutions (using either established numerical methods such as finite difference, finite element and finite volume methods or new numerical methods) are within the scope of this journal. Manuscripts with experimental and analytical themes are also welcome if a component of the paper deals with numerical methods. Special cases that may not involve differential equations such as image processing, meshing and artificial intelligence are within the scope. Any research that is broadly linked to the wellbeing of the human body, either directly or indirectly, is also within the scope of this journal.
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