Computational assessment of constraint in total knee replacement

Moran, Mark; Bhimji, Safia; Racanelli, Joseph; Piazza, Stephen J.

doi:10.1016/j.jbiomech.2008.03.020

Cited by 19 publications

(16 citation statements)

References 15 publications

(24 reference statements)

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“…Values of k depended on the implant surface area represented by each spring node such that k was equal to the area multiplied by 2.568 X 10" N m"^ [36]. The value of b was 200N s m"' [33,36].…”

Section: Methodsmentioning

confidence: 99%

Dual-Joint Modeling for Estimation of Total Knee Replacement Contact Forces During Locomotion

Hast

Piazza

2013

Journal of Biomechanical Engineering

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Model-based estimation of in vivo contact forces arising between components of a total knee replacement is challenging because such forces depend upon accurate modeling of muscles, tendons, ligaments, contact, and multibody dynamics. Here we describe an approach to solving this problem with results that are tested by comparison to knee loads measured in vivo for a single subject and made available through the Grand Challenge Competition to Predict in vivo Tibiofemoral Loads. The approach makes use of a "dual-joint" paradigm in which the knee joint is alternately represented by (1) a ball-joint knee for inverse dynamic computation of required muscle controls and (2) a 12 degree-of-freedom (DOF) knee with elastic foundation contact at the tibiofemoral and patellofemoral articulations for forward dynamic integration. Measured external forces and kinematics were applied as a feedback controller and static optimization attempted to track measured knee flexion angles and electromyographic (EMG) activity. The resulting simulations showed excellent tracking of knee flexion (average RMS error of 2.53 deg) and EMG (muscle activations within ±10% envelopes of normalized measured EMG signals). Simulated tibiofemoral contact forces agreed qualitatively with measured contact forces, but their RMS errors were approximately 25% of the peak measured values. These results demonstrate the potential of a dual-joint modeling approach to predict joint contact forces from kinesiological data measured in the motion laboratory. It is anticipated that errors in the estimation of contact force will be reduced as more accurate subject-specific models of muscles and other soft tissues are developed.

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Section: Methodsmentioning

confidence: 99%

Dual-Joint Modeling for Estimation of Total Knee Replacement Contact Forces During Locomotion

Hast

Piazza

2013

Journal of Biomechanical Engineering

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“…The components were aligned at 01, 301, and 901 of femoral flexion. An axial load of 710 N (Haider and Walker, 2005;Moran et al, 2008) was applied to simulate physiological loading levels. Relative AP displacements (+ / À 6.35 mm) or IE rotations (+ / À 101) were applied to the components, and the resulting constraint forces generated were measured.…”

Section: Kinematics Simulation Frameworkmentioning

confidence: 99%

Design optimization of a total knee replacement for improved constraint and flexion kinematics

Willing

Kim

2011

Journal of Biomechanics

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“…The only unconstrained tibiofemoral degrees of freedom (DOF) were medial -lateral (ML) displacement and adduction -abduction (AA) rotation, provided by a combined sliding/pivoting joint (detailed photograph in Figure 2). Flexion-extension (FE) was fixed at either 08 or 808 of flexion and an axial load of 710 N was applied during all laxity experiments (Haider and Walker 2005;Moran et al 2008). During anterior -posterior (AP) laxity tests, AP displacements (d) were prescribed, whereas internal-external (IE) rotation was fixed at 08.…”

Section: Apparatusmentioning

confidence: 99%

“…Computational models of experiments to predict TKR kinematics and the influence of design, soft tissue restraint or friction were developed, primarily simulating simple laxity tests (Essinger et al 1989;Garg and Walker 1990;Sathasivam and Walker 1997;Godest et al 2000;Moran et al 2008). Although earlier studies relied on graphical or in-house codes, more recent studies opt to use commercially available multibody analysis software such as MSC.Adams (MSC.Software Corp., Santa Ana, CA, USA) to simulate TKR kinematics.…”

Section: Introductionmentioning

confidence: 99%

The development, calibration and validation of a numerical total knee replacement kinematics simulator considering laxity and unconstrained flexion motions

Willing

Kim

2012

Computer Methods in Biomechanics and Biomedical Engineering

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Kinematics testing is essential during the development of total knee replacement (TKR) designs. Although computational analysis cannot replace physical testing, it offers repeatability and consistency at a much lower cost and shorter time, making it an excellent complement to experiments. Previous numerical models have been limited by several factors: the validity of the models is usually only considered for a single TKR design, friction models are typically overly simplified and the determination of simulation parameters is often inadequate, or tedious and expensive. The objective of this study is to develop, calibrate and validate a TKR kinematics simulation considering multiple TKR geometries, an accurate friction model and simulation parameters determined using a systematic optimisation method. The calibrated model was able to predict TKR kinematics for different TKR geometries, and is ideal for screening new implant designs, reducing the number of experiments required at the design stage.

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Computational assessment of constraint in total knee replacement

Cited by 19 publications

References 15 publications

Dual-Joint Modeling for Estimation of Total Knee Replacement Contact Forces During Locomotion

Dual-Joint Modeling for Estimation of Total Knee Replacement Contact Forces During Locomotion

Design optimization of a total knee replacement for improved constraint and flexion kinematics

The development, calibration and validation of a numerical total knee replacement kinematics simulator considering laxity and unconstrained flexion motions

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