scispace - formally typeset
Open AccessJournal ArticleDOI

Estimation of ligament loading and anterior tibial translation in healthy and ACL-deficient knees during gait and the influence of increasing tibial slope using EMG-driven approach.

TLDR
A biomechanical model to estimate anterior tibial translation (ATT), anterior shear forces, and ligament loading in the healthy and anterior cruciate ligament (ACL)-deficient knee joint during gait was developed.
Abstract
The purpose of this study was to develop a biomechanical model to estimate anterior tibial translation (ATT), anterior shear forces, and ligament loading in the healthy and anterior cruciate ligament (ACL)-deficient knee joint during gait. This model used electromyography (EMG), joint position, and force plate data as inputs to calculate ligament loading during stance phase. First, an EMG-driven model was used to calculate forces for the major muscles crossing the knee joint. The calculated muscle forces were used as inputs to a knee model that incorporated a knee–ligament model in order to solve for ATT and ligament forces. The model took advantage of using EMGs as inputs, and could account for the abnormal muscle activation patterns of ACL-deficient gait. We validated our model by comparing the calculated results with previous in vitro, in vivo, and numerical studies of healthy and ACL-deficient knees, and this gave us confidence on the accuracy of our model calculations. Our model predicted that ATT increased throughout stance phase for the ACL-deficient knee compared with the healthy knee. The medial collateral ligament functioned as the main passive restraint to anterior shear force in the ACL-deficient knee. Although strong co-contraction of knee flexors was found to help restrain ATT in the ACL-deficient knee, it did not counteract the effect of ACL rupture. Posterior inclination angle of the tibial plateau was found to be a crucial parameter in determining knee mechanics, and increasing the tibial slope inclination in our model would increase the resulting ATT and ligament forces in both healthy and ACL-deficient knees.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

EMG-driven forward-dynamic estimation of muscle force and joint moment about multiple degrees of freedom in the human lower extremity.

TL;DR: This work developed a novel and comprehensive EMG-driven model of the human lower extremity that used EMG signals from 16 muscle groups to drive 34 MTUs and satisfy the resulting joint moments simultaneously produced about four DOFs during different motor tasks.
Journal ArticleDOI

CEINMS: A toolbox to investigate the influence of different neural control solutions on the prediction of muscle excitation and joint moments during dynamic motor tasks.

TL;DR: The Calibrated EMG-Informed NMS Modelling Toolbox (CEINMS), an OpenSim plug-in that enables investigators to predict different neural control solutions for the same musculoskeletal geometry and measured movements, is created and made freely available for the research community.
Journal ArticleDOI

Lateral Tibial Posterior Slope Is Increased in Patients With Early Graft Failure After Anterior Cruciate Ligament Reconstruction

TL;DR: An increased LTPS is associated with an increased risk for early ACL graft failure, regardless of graft type, and orthopaedic surgeons should consider measuring the LTPS as part of the preoperative assessment of ACL-injured patients.
Journal ArticleDOI

The role of the tibial slope in sustaining and treating anterior cruciate ligament injuries.

TL;DR: A better understanding of the significance of the tibial slope could improve the development of ACL injury screening and prevention programmes, might serve as a basis for individually adapted rehabilitation programmes after ACL reconstruction and could clarify the role of slope-decreasing osteotomies in the treatment of ACL insufficiency.
Journal ArticleDOI

In Vivo Evidence for Tibial Plateau Slope as a Risk Factor for Anterior Cruciate Ligament Injury A Systematic Review and Meta-analysis

TL;DR: There is vast disagreement regarding the actual values of the slope that would be considered “at risk” in ACL-injured groups and controls and the clinical utility of imaging-based measurement methods for the determination of ACL injury risk requires more reliable techniques that demonstrate consistency between studies.
References
More filters
Journal ArticleDOI

OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement

TL;DR: OpenSim is developed, a freely available, open-source software system that lets users develop models of musculoskeletal structures and create dynamic simulations of a wide variety of movements to simulate the dynamics of individuals with pathological gait and to explore the biomechanical effects of treatments.
Journal Article

Muscle and tendon: properties, models, scaling, and application to biomechanics and motor control

TL;DR: Their integrated ability to generate force statically and dynamically is studied by formulating a generic model of the "musculotendon actuator", which has only one parameter, the ratio of tendon length at rest to muscle fiberlength at rest.
Journal ArticleDOI

The variation in isometric tension with sarcomere length in vertebrate muscle fibres.

TL;DR: The variation of isometric tetanus tension with sarcomere length in single fibres from frog striated muscle has been re‐investigated with special precautions to ensure uniformity of sarcomeres length within the part of the fibre being studied.
Journal ArticleDOI

An interactive graphics-based model of the lower extremity to study orthopaedic surgical procedures

TL;DR: A model is developed of the human lower extremity to study how changes in musculoskeletal geometry and musculotendon parameters affect muscle force and its moment about the joints and the joint moments calculated with the model compare well with experimentally measured isometric joint moments.
Journal ArticleDOI

An EMG-driven musculoskeletal model to estimate muscle forces and knee joint moments in vivo.

TL;DR: The modelling method presented represents a good way to estimate in vivo muscle forces during movement tasks and changing the muscle model to one that is more physiologically correct produced better predictions.
Related Papers (5)