用响应面法(RSM)分析肌肉力及其对股骨应力的影响。

IF 3.1 Q3 ENGINEERING, BIOMEDICAL
Biomedical Engineering and Computational Biology Pub Date : 2025-06-25 eCollection Date: 2025-01-01 DOI:10.1177/11795972251351766
Saeed Habibi, Mohammad Nazari Shalkouhi, Mohammad Javad Keyhani Dehnavi, Mahkame Sharbatdar, Aisa Rassoli
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引用次数: 0

摘要

在这项研究中,通过确定影响股骨应力的最重要的肌肉力量,可靠性方法被证明是医学工程中很有前途的方法。首先,使用Abaqus软件中的有限元法(FEM)对股骨不同区域的10种肌肉和关节力的影响进行建模。然后,利用响应面法(RSM),考察各关节和肌肉力的作用系数,确定髋关节反作用力对骨应力的作用最有效,其影响系数为210.97。其次,臀小肌和臀中肌的应力效应系数分别为66.6和34.47,排在第二位和第三位。本研究表明,与股后肌相比,股前肌对应激有显著影响。与传统方法相比,RSM能够更快、更精确地识别影响股骨应力的关节和肌肉力量。这种创新的方法不仅增加了对生物力学现象的理解,而且为研究和优化生物医学工程应用中的此类过程提供了更有效的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Analysis of Muscle Forces and Their Impact on Femoral Bone Stresses Using Response Surface Methodology (RSM).

Analysis of Muscle Forces and Their Impact on Femoral Bone Stresses Using Response Surface Methodology (RSM).

Analysis of Muscle Forces and Their Impact on Femoral Bone Stresses Using Response Surface Methodology (RSM).

Analysis of Muscle Forces and Their Impact on Femoral Bone Stresses Using Response Surface Methodology (RSM).

In this study, reliability methods were demonstrated as a promising approach in medical engineering by identifying the most significant muscle forces affecting femoral stress. First, the finite element method (FEM) in Abaqus software was used to model the effects of 10 muscle and joint forces across various regions of the femur. Then, using the response surface methodology (RSM), and examining the effect coefficients of each joint and muscle force, the hip joint reaction force with an impact coefficient of 210.97 was identified as the most effective force on bone stress. After that, the gluteus minimus and gluteus medius muscle forces were ranked second and third in terms of stress effect with coefficients of 66.6 and 34.47. This study showed that the anterior femoral muscles have a significant effect on stress compared to the posterior femoral muscles. RSM enables faster and more precise identification of joint and muscle forces influencing femoral stresses compared to conventional methods. This innovative approach not only increased the understanding of biomechanical phenomena, but also provided a more efficient tool for investigating and optimizing such processes in biomedical engineering applications.

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