Musculoskeletal Modeling and the Prediction of In Vivo Muscle and Joint Forces

2005 ◽  
Vol 37 (11) ◽  
pp. 1909-1910 ◽  
Author(s):  
PAUL DeVITA
2017 ◽  
Vol 139 (9) ◽  
Author(s):  
Michael Skipper Andersen ◽  
Mark de Zee ◽  
Michael Damsgaard ◽  
Daniel Nolte ◽  
John Rasmussen

Knowledge of the muscle, ligament, and joint forces is important when planning orthopedic surgeries. Since these quantities cannot be measured in vivo under normal circumstances, the best alternative is to estimate them using musculoskeletal models. These models typically assume idealized joints, which are sufficient for general investigations but insufficient if the joint in focus is far from an idealized joint. The purpose of this study was to provide the mathematical details of a novel musculoskeletal modeling approach, called force-dependent kinematics (FDK), capable of simultaneously computing muscle, ligament, and joint forces as well as internal joint displacements governed by contact surfaces and ligament structures. The method was implemented into the anybody modeling system and used to develop a subject-specific mandible model, which was compared to a point-on-plane (POP) model and validated against joint kinematics measured with a custom-built brace during unloaded emulated chewing, open and close, and protrusion movements. Generally, both joint models estimated the joint kinematics well with the POP model performing slightly better (root-mean-square-deviation (RMSD) of less than 0.75 mm for the POP model and 1.7 mm for the FDK model). However, substantial differences were observed when comparing the estimated joint forces (RMSD up to 24.7 N), demonstrating the dependency on the joint model. Although the presented mandible model still contains room for improvements, this study shows the capabilities of the FDK methodology for creating joint models that take the geometry and joint elasticity into account.


2008 ◽  
Vol 41 ◽  
pp. S144 ◽  
Author(s):  
Peter Westerhoff ◽  
Antonius Rohlmann ◽  
A. Bender ◽  
Friedmar Graichen ◽  
Georg Bergmann
Keyword(s):  

2012 ◽  
Vol 134 (10) ◽  
Author(s):  
Safa T. Herfat ◽  
Daniel V. Boguszewski ◽  
Rebecca J. Nesbitt ◽  
Jason T. Shearn

Current surgical treatments for common knee injuries do not restore the normal biomechanics. Among other factors, the abnormal biomechanics increases the susceptibility to the early onset of osteoarthritis. In pursuit of improving long term outcome, investigators must understand normal knee kinematics and corresponding joint and anterior cruciate ligament (ACL) kinetics during the activities of daily living. Our long term research goal is to measure in vivo joint motions for the ovine stifle model and later simulate these motions with a 6 degree of freedom (DOF) robot to measure the corresponding 3D kinetics of the knee and ACL-only joint. Unfortunately, the motion measurement and motion simulation technologies used for our project have associated errors. The objective of this study was to determine how motion measurement and motion recreation error affect knee and ACL-only joint kinetics by perturbing a simulated in vivo motion in each DOF and measuring the corresponding intact knee and ACL-only joint forces and moments. The normal starting position for the motion was perturbed in each degree of freedom by four levels (−0.50, −0.25, 0.25, and 0.50 mm or degrees). Only translational perturbations significantly affected the intact knee and ACL-only joint kinetics. The compression-distraction perturbation had the largest effect on intact knee forces and the anterior-posterior perturbation had the largest effect on the ACL forces. Small translational perturbations can significantly alter intact knee and ACL-only joint forces. Thus, translational motion measurement errors must be reduced to provide a more accurate representation of the intact knee and ACL kinetics. To account for the remaining motion measurement and recreation errors, an envelope of forces and moments should be reported. These force and moment ranges will provide valuable functional tissue engineering parameters (FTEPs) that can be used to design more effective ACL treatments.


2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Joshua T. Weinhandl ◽  
Bobbie S. Irmischer ◽  
Zachary A. Sievert

Alterations in hip joint loading have been associated with diseases such as arthritis and osteoporosis. Understanding the relationship between gait speed and hip joint loading in healthy hips may illuminate changes in gait mechanics as walking speed deviates from preferred. The purpose of this study was to quantify hip joint loading during the gait cycle and identify differences with varying speed using musculoskeletal modeling. Ten, healthy, physically active individuals performed walking trials at their preferred speed, 10% faster, and 10% slower. Kinematic, kinetic, and electromyographic data were collected and used to estimate hip joint force via a musculoskeletal model. Vertical ground reaction forces, hip joint force planar components, and the resultant hip joint force were compared between speeds. There were significant increases in vertical ground reaction forces and hip joint forces as walking speed increased. Furthermore, the musculoskeletal modeling approach employed yielded hip joint forces that were comparable to previous simulation studies and in vivo measurements and was able to detect changes in hip loading due to small deviations in gait speed. Applying this approach to pathological and aging populations could identify specific areas within the gait cycle where force discrepancies may occur which could help focus management of care.


2007 ◽  
Vol 40 ◽  
pp. S67 ◽  
Author(s):  
John Rasmussen ◽  
Mark de Zee ◽  
Søren Tørholm ◽  
Michael Damsgaard
Keyword(s):  

1989 ◽  
Vol 22 (10) ◽  
pp. 986 ◽  
Author(s):  
G. Bergmann ◽  
F. Graichen ◽  
A. Rohlmann

Author(s):  
Jeffrey E. Bischoff ◽  
Eik Siggelkow ◽  
Daniel Sieber ◽  
Mariana Kersh ◽  
Heidi Ploeg ◽  
...  

Specimen-specific modeling of the knee can be an effective tool for understanding knee mechanics [1–2]. It can also serve as a design tool for orthopaedic implant design through enhancing understanding of mechanics in the reconstructed knee [3], particularly when used in conjunction with instrumented components that record in vivo joint forces [4]. Techniques for developing specimen-specific computational geometric models of hard tissue and soft tissue are fairly commonplace, using imaging tools such as computed tomography (CT) and magnetic resonance (MR) in conjunction with software tools for image processing. Determination of specimen-specific material properties relies on measuring kinematics of the tissue associated with a defined load, either in vivo or in vitro, selecting an appropriate material model, and estimating values of the parameters of the model that closely match the experimental data. The goal of this work was to utilize inverse finite element (FE) analysis to determine material parameters of ligaments in a specimen-specific model of the knee, using both local and global optimization algorithms.


1981 ◽  
Vol 10 (4) ◽  
pp. 175-187 ◽  
Author(s):  
M Kilvington ◽  
R M F Goodman

This paper describes the results obtained from implanting a strain gauged version of an ‘English’ hip joint replacement together with a totally implantable FM radio transmitter. The implant is based upon a new concept in the design of femoral hip components having a diminished head offset to reduce head load and improved stem shape permitting alignment of the neck along the theoretical axis of peak load transmitted during the gait cycle. The implant was inserted using the ‘English’ trochanteric approach (English, 1975) which further reduces the load on a prosthetic hip joint with the use of a spacer out from the redundant femoral head to rearrange the trochanteric muscle lever arms. The resulting axial load is detected by four strain gauges mounted on a ‘piston in cylinder’ arrangement contained within the thickened neck of the prosthesis. The single channel FM transmitter relays the gauge output to a signal processing unit to give a direct output of activity for recording on a UV recorder. Recordings were taken during implantation, recovery, walking (at three days) physiotherapy, stair climbing and walking over a period of forty days.


2014 ◽  
Vol 32 (11) ◽  
pp. 1458-1463 ◽  
Author(s):  
Daniel V. Boguszewski ◽  
Christopher T. Wagner ◽  
David L. Butler ◽  
Jason T. Shearn

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