膝关节内翻畸形对步态中肌肉骨骼模型动力学和运动学特性的影响。

IF 1.7 4区医学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-04-09 DOI:10.1080/10255842.2025.2487817

Sina Tabeiy, Morad Karimpour, Azizollah Shirvani, Arash SharafatVaziri

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引用次数: 0

摘要

一般的肌肉骨骼模型的一个固有缺点是不能准确地模拟变形的肌肉骨骼系统，而生成完全个性化的模型又耗时耗钱。为了解决这个问题，我们创建了一个MATLAB工具来修改OpenSim通用模型，生成半个性化模型。一名内翻畸形的受试者参与了我们的研究，并创建了她相关的半个性化模型。半个性化模型显著降低了逆运动学中的标记误差（p < 0.05）。值得注意的是，髋关节外展/内收ROM平均增加了4.87度，TFL组的肌肉激活度增加了53%，半个性化模型中的股股肌激活度下降了4%。总体而言，半个性化模型提高了更高的肌肉骨骼分析的准确性。

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The influence of knee varus deformity on the kinetic and kinematic characteristics of musculoskeletal models during gait.

An inherent shortcoming of generic musculoskeletal models is their inability to accurately model deformed musculoskeletal system, while generating fully personalized models are time and money consuming. To address this, we created a MATLAB tool that modifies OpenSim generic models, producing semi-personalized models. A subject with varus deformity participated in our study and her associated semi-personalized model was created. The semi-personalized model significantly decreased marker error during Inverse Kinematics (p < 0.05). Notably, hip abduction/adduction ROM increased by 4.87 degrees on average, muscle activation in TFL rose by 53%, and Gracilis activation dropped by 4% in the semi-personalized model. Overall, semi-personalized models enhance accuracy for higher musculoskeletal analyses.

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来源期刊

Computer Methods in Biomechanics and Biomedical Engineering 工程技术-工程：生物医学

CiteScore

4.10

自引率

6.20%

发文量

179

审稿时长

4-8 weeks

期刊介绍： The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.