Effect of skin movement artifact on knee kinematics during gait and cutting motions measured in vivo

Benoît, Daniel; Ramsey, Dan K.; Lamontagne, Mario; Xu, Lin; Wretenberg, Per; Renström, Per

doi:10.1016/j.gaitpost.2005.04.012

Cited by 395 publications

(331 citation statements)

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“…Specifically, the original 1 DOF knee [25][26][27], was provided 15˚/5˚ internal/external rotation range of motion based on measurements from both in vivo bone pins [28] and cadavers [29].…”

Section: Methodsmentioning

confidence: 99%

“…Knee abduction/abduction rotations were locked, because these rotations cannot be accurately measured with skin-surface markers [28]. Moreover, allowing knee adduction/abduction For each participant, the customized generic anatomic model was scaled, registered and optimized to the participant's anthropometry and experimental marker configuration.…”

Section: Methodsmentioning

confidence: 99%

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Tibiofemoral contact forces during walking, running and sidestepping

et al. 2016

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Tibiofemoral contact forces during walking, running and sidestepping

et al. 2016

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“…stance phase, from ground contact to take-off) and hopping task (i.e. during 0.67 s after ground contact) performed by one able-bodied male subject (Benoit et al, 2006).…”

Section: Experimental Datamentioning

confidence: 99%

“…The objective of this study was to estimate the stiffness matrix of a wobbling mass model, defined as a cluster of lumped masses undergoing translations about the three axes of the bone-embedded coordinate system, by applying a structural vibration analysis method, called smooth orthogonal decomposition (Chelidze and Zhou, 2006), to the simultaneous measurements of skin and intra-cortical pin markers (Benoit et al, 2006;Reinschmidt et al, 1997). In this method, the displacement of the skin markers relative to the underlying bone was modelled as the free undamped vibrations of a dynamical system for which the stiffness matrix can be straightforwardly identified.…”

mentioning

confidence: 99%

Stiffness of a wobbling mass models analysed by a smooth orthogonal decomposition of the skin movement relative to the underlying bone

Dumas

Jacquelin

2017

Journal of Biomechanics

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Please cite this article as: R. Dumas, E. Jacquelin, Stiffness of a wobbling mass models analysed by a smooth orthogonal decomposition of the skin movement relative to the underlying bone, Journal of Biomechanics (2017), doi: http://dx.doi.org/10. 1016/j.jbiomech.2017.06.002 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Stiffness of a wobbling mass models analysed by a smooth orthogonal decomposition of the skin movement relative to the underlying bone AbstractThe so-called soft tissue artefacts and wobbling masses have both been widely studied in biomechanics, however most of the time separately, from either a kinematics or a dynamics point of view. As such, the estimation of the stiffness of the springs connecting the wobbling masses to the rigid-body model of the lower limb, based on the in vivo displacements of the skin relative to the underling bone, has not been performed yet. For this estimation, the displacements of the skin markers in the bone-embedded coordinate systems are viewed as a proxy for the wobbling mass movement.The present study applied a structural vibration analysis method called smooth orthogonal decomposition to estimate this stiffness from retrospective simultaneous measurements of skin and intra-cortical pin markers during running, walking, cutting and hopping.For the translations about the three axes of the bone-embedded coordinate systems, the estimated stiffness coefficients (i.e. between 2.3 kN/m and 55.5 kN/m) as well as the corresponding forces representing the connection between bone and skin (i.e. up to 400 N) and corresponding frequencies (i.e. in the band 10-30 Hz) were in agreement with the literature. Consistently with the STA descriptions, the estimated stiffness coefficients were found subject-and task-specific.

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“…The motion of the markers is typically used to recover the underlying relative movement between adjacent segments, which in turn define the movement of the knee joint. However, the marker configurations and primarily the error due to skin movement artifacts limit the accuracy of the motion recovery [47,48]. This limitation particularly has effect on the measurement of more subtle secondary movements.…”

Section: Kinematics Of the Knee During Stance Phasementioning

confidence: 99%

Modeling of the condyle elements within a biomechanical knee model

et al. 2011

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The development of a computational multibody knee model able to capture some of the fundamental properties of the human knee articulation is presented. This desideratum is reached by including the kinetics of the real knee articulation. The research question is whether an accurate modeling of the condyle contact in the knee will lead to reproduction of the complex combination of flexion/extension, abduction/adduction, and tibial rotation observed in the real knee. The model is composed by two anatomic segments, the tibia and the femur, whose characteristics are functions of the geometric and anatomic properties of the real bones. The biomechanical model characterization is developed under the framework of multibody systems methodologies using Cartesian coordinates. The type of approach used in the proposed knee model is the joint surface contact conditions between ellipsoids, representing the two femoral condyles, and points, representing the tibial plateau and the menisci. These elements are closely fitted to the actual knee geometry. This task is undertaken by considering a parameter optimization process to replicate experimental data published in the literature, namely that by Lafortune and his coworkers in 1992. Then kinematic data in the form of flexion/extension patterns are imposed on the model corresponding to the stance phase of the human gait. From the results obtained, by performing several computational simulations, it can be observed that the knee model approximates the average secondary motion patterns observed in the literature. Because the literature reports considerable inter-individual differences in the secondary motion patterns, the knee model presented here is also used to check whether it is possible to reproduce the observed differences with reasonable variations of bone shape parameters. This task is accomplished by a parameter study, in which the main variables that define the geometry of condyles are taken into account. It was observed that the data reveal a difference in secondary kinematics of the knee in flexion versus extension. The likely explanation for this fact is the elastic component of the secondary motions created by the combination of joint forces and soft tissue deformations. The proposed knee model is, therefore, used to investigate whether this observed behavior can be explained by reasonable elastic deformations of the points representing the menisci in the model.

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Effect of skin movement artifact on knee kinematics during gait and cutting motions measured in vivo

Cited by 395 publications

References 20 publications

Tibiofemoral contact forces during walking, running and sidestepping

Tibiofemoral contact forces during walking, running and sidestepping

Stiffness of a wobbling mass models analysed by a smooth orthogonal decomposition of the skin movement relative to the underlying bone

Modeling of the condyle elements within a biomechanical knee model

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