Multibody Optimisations: From Kinematic Constraints to Knee Contact Forces and Ligament Forces

Dumas, Raphaël; Chèze, Laurence; Moissenet, Florent

doi:10.1007/978-3-319-93870-7_4

Cited by 3 publications

(2 citation statements)

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“…The same issues were absent in the natural motion obtained through the model: it was smooth and satisfied the joint constraints (both contacts and ligaments). This feature is of great importance, for instance in musculoskeletal models, where joint models are used to estimate the forces in the joint articular structures [37].…”

Section: Discussionmentioning

confidence: 99%

An Anatomical-Based Subject-Specific Model of In-Vivo Knee Joint 3D Kinematics From Medical Imaging

et al. 2020

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Biomechanical models of the knee joint allow the development of accurate procedures as well as novel devices to restore the joint natural motion. They are also used within musculoskeletal models to perform clinical gait analysis on patients. Among relevant knee models in the literature, the anatomy-based spatial parallel mechanisms represent the joint motion using rigid links for the ligaments’ isometric fibres and point contacts for the articular surfaces. To customize analyses, therapies and devices, there is the need to define subject-specific models, but relevant procedures and their accuracy are still questioned. A procedure is here proposed and validated to define a customized knee model based on a spatial parallel mechanism. Computed tomography, magnetic resonance and 3D-video-fluoroscopy were performed on a healthy volunteer to define the personalized model geometry. The model was then validated by comparing the measured and the replicated joint motion. The model showed mean absolute difference and standard deviations in translations and rotations, respectively of 0.98 ± 0.40 mm and 0.68 ± 0.29 ° for the tibia–femur motion, and of 0.77 ± 0.15 mm and 2.09 ± 0.69 ° for the patella–femur motion. These results show that accurate personalized spatial models of knee kinematics can be obtained from in-vivo imaging.

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Section: Discussionmentioning

confidence: 99%

An Anatomical-Based Subject-Specific Model of In-Vivo Knee Joint 3D Kinematics From Medical Imaging

et al. 2020

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“…However, this method suffered from dealing with complexity and many unknowns. This problem was solved using the wrench approach [24], [25] but it is not conventional like 2 nd Newton law for describing the motion for biomechanical systems.…”

Section: Introductionmentioning

confidence: 99%

A Valid Model for Prediction Tibiofemoral Force for Healthy People Based on Static Optimization

Mohamed

Sun

2021

IEEE Access

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The musculoskeletal model plays an important role in the investigation of human lower limb diseases.Although different methods are used for musculoskeletal models, the prediction of the tibiofemoral and muscle forces still needs more improvements. This paper introduces a model for the lower limb; 3-DOF hip, 1-DOF knee, and 3-DOF ankle. The model estimates the tibiofemoral and muscle forces based on static optimization. The shank and the foot are considered as one element to avoid the high-cost computation of the traditional inverse dynamic method. The direction of the tibiofemoral force is estimated based on the analytical method to tune the weight factors o the predicted force. Two subjects (A and B) performed walking at 1m/s for about 5 gait cycle with recording the kinematics, ground reaction force (GRF), and foot center of pressure (CoP) and electromyographic (EMG) signals. A static optimization technique was performed to predict the tibiofemoral and 6 lower limb muscles forces based on the 2 nd -Newton law in three-dimensional (3D). Muscles moment arms were verified by compared to measured data in the literature. The validity of the model was guaranteed by testing the model on a subject of total knee replacement (TKR) and compared the predicted tibiofemoral force with the measured one. The predicted tibiofemoral forces had the root mean square error (RMSE) of 0.19, 0.56, and 0.43 BW for TKR subject, subject A and subject B, respectively. The predicted muscles force was validated by comparing it to EMG signals. The analysis and the validation of the model showed that it could be used for different activities like walking and running and assessment rehabilitation devices such as knee brace.INDEX TERMS Musculoskeletal model of the lower limb, tibiofemoral force prediction, muscle force estimation, static optimization.

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Can a Musculoskeletal Model Adapted to Knee Implant Geometry Improve Prediction of 3D Contact Forces and Moments?

2023

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Multibody Optimisations: From Kinematic Constraints to Knee Contact Forces and Ligament Forces

Cited by 3 publications

References 50 publications

An Anatomical-Based Subject-Specific Model of In-Vivo Knee Joint 3D Kinematics From Medical Imaging

An Anatomical-Based Subject-Specific Model of In-Vivo Knee Joint 3D Kinematics From Medical Imaging

A Valid Model for Prediction Tibiofemoral Force for Healthy People Based on Static Optimization

Can a Musculoskeletal Model Adapted to Knee Implant Geometry Improve Prediction of 3D Contact Forces and Moments?

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