Literature DB >> 25129166

A comparison of optimisation methods and knee joint degrees of freedom on muscle force predictions during single-leg hop landings.

Hossein Mokhtarzadeh1, Luke Perraton2, Laurence Fok3, Mario A Muñoz4, Ross Clark5, Peter Pivonka6, Adam L Bryant7.   

Abstract

The aim of this paper was to compare the effect of different optimisation methods and different knee joint degrees of freedom (DOF) on muscle force predictions during a single legged hop. Nineteen subjects performed single-legged hopping manoeuvres and subject-specific musculoskeletal models were developed to predict muscle forces during the movement. Muscle forces were predicted using static optimisation (SO) and computed muscle control (CMC) methods using either 1 or 3 DOF knee joint models. All sagittal and transverse plane joint angles calculated using inverse kinematics or CMC in a 1 DOF or 3 DOF knee were well-matched (RMS error<3°). Biarticular muscles (hamstrings, rectus femoris and gastrocnemius) showed more differences in muscle force profiles when comparing between the different muscle prediction approaches where these muscles showed larger time delays for many of the comparisons. The muscle force magnitudes of vasti, gluteus maximus and gluteus medius were not greatly influenced by the choice of muscle force prediction method with low normalised root mean squared errors (<48%) observed in most comparisons. We conclude that SO and CMC can be used to predict lower-limb muscle co-contraction during hopping movements. However, care must be taken in interpreting the magnitude of force predicted in the biarticular muscles and the soleus, especially when using a 1 DOF knee. Despite this limitation, given that SO is a more robust and computationally efficient method for predicting muscle forces than CMC, we suggest that SO can be used in conjunction with musculoskeletal models that have a 1 or 3 DOF knee joint to study the relative differences and the role of muscles during hopping activities in future studies.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Computed muscle control; Hopping; Knee joint; Muscle co-contraction; Musculoskeletal model; Static optimisation

Mesh:

Year:  2014        PMID: 25129166     DOI: 10.1016/j.jbiomech.2014.07.027

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  8 in total

1.  Global sensitivity analysis of the joint kinematics during gait to the parameters of a lower limb multi-body model.

Authors:  Aimad El Habachi; Florent Moissenet; Sonia Duprey; Laurence Cheze; Raphaël Dumas
Journal:  Med Biol Eng Comput       Date:  2015-03-18       Impact factor: 2.602

2.  An investigation of jogging biomechanics using the full-body lumbar spine model: Model development and validation.

Authors:  Margaret E Raabe; Ajit M W Chaudhari
Journal:  J Biomech       Date:  2016-02-27       Impact factor: 2.712

3.  Contribution of hip and knee muscles to lateral knee stability during gait.

Authors:  Masayuki Kawada; Yasufumi Takeshita; Takasuke Miyazaki; Yuki Nakai; Kazutaka Hata; Shintaro Nakatsuji; Ryoji Kiyama
Journal:  J Phys Ther Sci       Date:  2020-11-11

4.  Between-Limb Symmetry in ACL and Tibiofemoral Contact Forces in Athletes After ACL Reconstruction and Clearance for Return to Sport.

Authors:  Argyro Kotsifaki; Sam Van Rossom; Rod Whiteley; Vasileios Korakakis; Roald Bahr; Pieter D'Hooghe; Emmanuel Papakostas; Vasileios Sideris; Abdulaziz Farooq; Ilse Jonkers
Journal:  Orthop J Sports Med       Date:  2022-04-11

5.  Single leg vertical jump performance identifies knee function deficits at return to sport after ACL reconstruction in male athletes.

Authors:  Argyro Kotsifaki; Sam Van Rossom; Rod Whiteley; Vasileios Korakakis; Roald Bahr; Vasileios Sideris; Ilse Jonkers
Journal:  Br J Sports Med       Date:  2022-02-08       Impact factor: 18.473

6.  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

7.  Ranking of osteogenic potential of physical exercises in postmenopausal women based on femoral neck strains.

Authors:  Pim Pellikaan; Georgios Giarmatzis; Jos Vander Sloten; Sabine Verschueren; Ilse Jonkers
Journal:  PLoS One       Date:  2018-04-04       Impact factor: 3.240

8.  Non-knee-spanning muscles contribute to tibiofemoral shear as well as valgus and rotational joint reaction moments during unanticipated sidestep cutting.

Authors:  Nirav Maniar; Anthony G Schache; Prasanna Sritharan; David A Opar
Journal:  Sci Rep       Date:  2018-02-06       Impact factor: 4.379

  8 in total

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