Literature DB >> 30282587

Evaluation of the accuracy of musculoskeletal simulation during squats by means of instrumented knee prostheses.

Florian Schellenberg1, William R Taylor2, Adam Trepczynski3, Renate List1, Ines Kutzner3, Pascal Schütz1, Georg N Duda3, Silvio Lorenzetti4.   

Abstract

Standard musculoskeletal simulation tools now offer widespread access to internal loading conditions for use in improving rehabilitation concepts or training programmes. However, despite broad reliance on their outcome, the accuracy of such loading estimations, specifically in deep knee flexion, remains generally unknown. The aim of this study was to evaluate the error of tibio-femoral joint contact force (JCF) calculations using musculoskeletal simulation compared to in vivo measured JCFs in subjects with instrumented total knee endoprostheses during squat exercises. Using the early but common "Gait2392_simbody" (OpenSim) scaled musculoskeletal models, tibio-femoral JCFs were calculated in 6 subjects for 5 repetitions of squats. Tibio-femoral JCFs of 0.8-3.2 times bodyweight (BW) were measured. While the musculoskeletal simulations underestimated the measured knee JCFs at low flexion angles, an average error of less than 20% was achieved between approximately 25°-60° knee flexion. With an average error that behaved almost linearly with knee flexion angle, an overestimation of approximately 60% was observed at deep flexion (ca. 80°), with an absolute maximum error of ca. 1.9BW. Our data indicate that loading estimations from early musculoskeletal gait models at both high and low knee joint flexion angles should be interpreted carefully.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Deep knee flexion; In vivo validation; Joint contact force; Musculoskeletal modelling; OpenSim; Strength training

Mesh:

Year:  2018        PMID: 30282587     DOI: 10.1016/j.medengphy.2018.09.004

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  6 in total

1.  Fascial organisation of motor synergies: a hypothesis.

Authors:  Alessandro Garofolini; Daris Svanera
Journal:  Eur J Transl Myol       Date:  2019-08-08

2.  The Capacity of Generic Musculoskeletal Simulations to Predict Knee Joint Loading Using the CAMS-Knee Datasets.

Authors:  Zohreh Imani Nejad; Khalil Khalili; Seyyed Hamed Hosseini Nasab; Pascal Schütz; Philipp Damm; Adam Trepczynski; William R Taylor; Colin R Smith
Journal:  Ann Biomed Eng       Date:  2020-01-30       Impact factor: 3.934

3.  A Systematic Review of the Associations Between Inverse Dynamics and Musculoskeletal Modeling to Investigate Joint Loading in a Clinical Environment.

Authors:  Jana Holder; Ursula Trinler; Andrea Meurer; Felix Stief
Journal:  Front Bioeng Biotechnol       Date:  2020-12-07

4.  Biomechanical Study of a Tricompartmental Unloader Brace for Patellofemoral or Multicompartment Knee Osteoarthritis.

Authors:  Chris A McGibbon; Scott Brandon; Emily L Bishop; Chris Cowper-Smith; Edmund N Biden
Journal:  Front Bioeng Biotechnol       Date:  2021-01-28

5.  Uncertainty in Muscle-Tendon Parameters can Greatly Influence the Accuracy of Knee Contact Force Estimates of Musculoskeletal Models.

Authors:  Seyyed Hamed Hosseini Nasab; Colin R Smith; Allan Maas; Alexandra Vollenweider; Jörn Dymke; Pascal Schütz; Philipp Damm; Adam Trepczynski; William R Taylor
Journal:  Front Bioeng Biotechnol       Date:  2022-06-03

6.  Statistical-Shape Prediction of Lower Limb Kinematics During Cycling, Squatting, Lunging, and Stepping-Are Bone Geometry Predictors Helpful?

Authors:  Joris De Roeck; Kate Duquesne; Jan Van Houcke; Emmanuel A Audenaert
Journal:  Front Bioeng Biotechnol       Date:  2021-07-12
  6 in total

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