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 (<i>p</i> < 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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Publication Details

Journal
Computer Methods in Biomechanics & Biomedical Engineering
Published
2025-04-09
DOI
https://doi.org/10.1080/10255842.2025.2487817
Primary Topic
Total Knee Arthroplasty Outcomes
Type
article
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article

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

Arash Sharafatvaziri, Morad Karimpour, Sina Tabeiy, Azizollah Shirvani
Computer Methods in Biomechanics & Biomedical Engineering
Total Knee Arthroplasty Outcomes
article

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

Arash Sharafatvaziri, Morad Karimpour, Sina Tabeiy, Azizollah Shirvani
article en

Abstract

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 (<i>p</i> < 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.

Computer Methods in Biomechanics & Biomedical Engineering
University of Tehran (IR), Milad Hospital (IR), Tehran University of Medical Sciences (IR)
Openalex Percentile: Top 88%
Total Knee Arthroplasty Outcomes
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