Estimating joint space of the knee during weight-bearing squatting activity using motion capture – preliminary results of a new method

Clément, Julien; Cresson, Thierry; Hagemeister, Nicola; Dumas, Raphaël; Guise, Jacques A. de

doi:10.1080/10255842.2015.1069564

Cited by 2 publications

(1 citation statement)

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“…In the proposed knee model, these geometries have been simplified to spheres and planes, which are not personalized in the present study. A subject-specific bone geometry can provide more promising results also in this case [54].…”

Section: Discussionmentioning

confidence: 98%

A multi-body optimization framework with a knee kinematic model including articular contacts and ligaments

et al. 2016

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Multi-body optimization is one of the methods proposed to reduce the errors due to soft-tissue artifact in gait analysis based on skin markers. This method uses a multi-body kinematic model driven by the marker trajectories. The kinematic models developed so far for the knee joint include a lower pair (such as a hinge or a spherical joint) or more anatomical and physiological representations including articular contacts and the main ligaments. This latter method allows a better representation of the joint constraints of a subject, potentially improving the kinematic and the subsequent static and dynamic analyses, but model definition and mathematical implementation can be more complicated.This study presents a mathematical framework to implement a kinematic model of the knee featuring articular contacts and ligaments in the multi-body optimization. Two penalty-based methods (minimized and prescribed ligament length variations) consider deformable ligaments and are compared to a further method (zero ligament length variation) featuring isometric ligaments. The multi-body optimization is performed on one gait cycle for five asymptomatic male subjects by means of a lower limb model including the foot, shank, thigh and pelvis. The mean knee kinematics, ligament lengthening and contact point positions are compared over the three methods. The results are also consistent with results from the literature obtained by bone pins or biplane fluoroscopy. Finally, a sensitivity analysis is performed to evaluate how the joint kinematics is affected by the weights used in the penalty-based methods.The approach is purely kinematic, since the penalty-based framework does not require the solution of the joint static or dynamic analyses and makes it possible to consider ligament deformations without the definition of ligament stiffness that generally cannot be identified through in-vivo measurements.Nevertheless, as far as a knee kinematic model is concerned, particularly in musculoskeletal modeling, this approach seems a good compromise between standard non-physiological kinematic models and complex deformable dynamic models.

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Section: Discussionmentioning

confidence: 98%

A multi-body optimization framework with a knee kinematic model including articular contacts and ligaments

et al. 2016

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Can generic knee joint models improve the measurement of osteoarthritic knee kinematics during squatting activity?

Clément

Dumas

Hagemeister

et al. 2016

Computer Methods in Biomechanics and Biomedical Engineering

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Knee joint kinematics derived from multi-body optimisation (MBO) still requires evaluation. The objective of this study was to corroborate model-derived kinematics of osteoarthritic knees obtained using four generic knee joint models used in musculoskeletal modelling - spherical, hinge, degree-of-freedom coupling curves and parallel mechanism - against reference knee kinematics measured by stereo-radiography. Root mean square errors ranged from 0.7° to 23.4° for knee rotations and from 0.6 to 9.0 mm for knee displacements. Model-derived knee kinematics computed from generic knee joint models was inaccurate. Future developments and experiments should improve the reliability of osteoarthritic knee models in MBO and musculoskeletal modelling.

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Estimating joint space of the knee during weight-bearing squatting activity using motion capture – preliminary results of a new method

Cited by 2 publications

References 10 publications

A multi-body optimization framework with a knee kinematic model including articular contacts and ligaments

A multi-body optimization framework with a knee kinematic model including articular contacts and ligaments

Can generic knee joint models improve the measurement of osteoarthritic knee kinematics during squatting activity?

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