Literature DB >> 33365306

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

Jana Holder1,2, Ursula Trinler3, Andrea Meurer4, Felix Stief1,2.   

Abstract

The assessment of knee or hip joint loading by external joint moments is mainly used to draw conclusions on clinical decision making. However, the correlation between internal and external loads has not been systematically analyzed. This systematic review aims, therefore, to clarify the relationship between external and internal joint loading measures during gait. A systematic database search was performed to identify appropriate studies for inclusion. In total, 4,554 articles were identified, while 17 articles were finally included in data extraction. External joint loading parameters were calculated using the inverse dynamics approach and internal joint loading parameters by musculoskeletal modeling or instrumented prosthesis. It was found that the medial and total knee joint contact forces as well as hip joint contact forces in the first half of stance can be well predicted using external joint moments in the frontal plane, which is further improved by including the sagittal joint moment. Worse correlations were found for the peak in the second half of stance as well as for internal lateral knee joint contact forces. The estimation of external joint moments is useful for a general statement about the peak in the first half of stance or for the maximal loading. Nevertheless, when investigating diseases as valgus malalignment, the estimation of lateral knee joint contact forces is necessary for clinical decision making because external joint moments could not predict the lateral knee joint loading sufficient enough. Dependent on the clinical question, either estimating the external joint moments by inverse dynamics or internal joint contact forces by musculoskeletal modeling should be used.
Copyright © 2020 Holder, Trinler, Meurer and Stief.

Entities:  

Keywords:  gait analysis; hip joint; inverse dynamics; joint contact forces; joint moments; knee joint; musculoskeletal modeling

Year:  2020        PMID: 33365306      PMCID: PMC7750503          DOI: 10.3389/fbioe.2020.603907

Source DB:  PubMed          Journal:  Front Bioeng Biotechnol        ISSN: 2296-4185


  87 in total

1.  Effect of lower-limb joint models on subject-specific musculoskeletal models and simulations of daily motor activities.

Authors:  Giordano Valente; Lorenzo Pitto; Rita Stagni; Fulvia Taddei
Journal:  J Biomech       Date:  2015-10-23       Impact factor: 2.712

2.  Sensitivity of femoral strain calculations to anatomical scaling errors in musculoskeletal models of movement.

Authors:  Saulo Martelli; Mariana E Kersh; Marcus G Pandy
Journal:  J Biomech       Date:  2015-08-11       Impact factor: 2.712

3.  OpenSim: open-source software to create and analyze dynamic simulations of movement.

Authors:  Scott L Delp; Frank C Anderson; Allison S Arnold; Peter Loan; Ayman Habib; Chand T John; Eran Guendelman; Darryl G Thelen
Journal:  IEEE Trans Biomed Eng       Date:  2007-11       Impact factor: 4.538

4.  Direct comparison of muscle force predictions using linear and nonlinear programming.

Authors:  D R Pedersen; R A Brand; C Cheng; J S Arora
Journal:  J Biomech Eng       Date:  1987-08       Impact factor: 2.097

5.  Statistical shape modelling versus linear scaling: Effects on predictions of hip joint centre location and muscle moment arms in people with hip osteoarthritis.

Authors:  Jasvir S Bahl; Ju Zhang; Bryce A Killen; Mark Taylor; Lucian B Solomon; John B Arnold; David G Lloyd; Thor F Besier; Dominic Thewlis
Journal:  J Biomech       Date:  2019-01-24       Impact factor: 2.712

6.  Abnormal loading of the hip and knee joints in unilateral hip osteoarthritis persists two years after total hip replacement.

Authors:  Felix Stief; André Schmidt; Stefan van Drongelen; Katharina Lenarz; Dara Froemel; Timur Tarhan; Frederick Lutz; Andrea Meurer
Journal:  J Orthop Res       Date:  2018-03-14       Impact factor: 3.494

7.  How tibiofemoral alignment and contact locations affect predictions of medial and lateral tibiofemoral contact forces.

Authors:  Zachary F Lerner; Matthew S DeMers; Scott L Delp; Raymond C Browning
Journal:  J Biomech       Date:  2015-01-05       Impact factor: 2.712

8.  Gait alterations to effectively reduce hip contact forces.

Authors:  Mariska Wesseling; Friedl de Groote; Christophe Meyer; Kristoff Corten; Jean-Pierre Simon; Kaat Desloovere; Ilse Jonkers
Journal:  J Orthop Res       Date:  2015-04-14       Impact factor: 3.494

9.  Six-week gait retraining program reduces knee adduction moment, reduces pain, and improves function for individuals with medial compartment knee osteoarthritis.

Authors:  Pete B Shull; Amy Silder; Rebecca Shultz; Jason L Dragoo; Thor F Besier; Scott L Delp; Mark R Cutkosky
Journal:  J Orthop Res       Date:  2013-03-12       Impact factor: 3.494

10.  Sensitivity of a subject-specific musculoskeletal model to the uncertainties on the joint axes location.

Authors:  Saulo Martelli; Giordano Valente; Marco Viceconti; Fulvia Taddei
Journal:  Comput Methods Biomech Biomed Engin       Date:  2014-06-25       Impact factor: 1.763

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  3 in total

1.  Predicting the Internal Knee Abduction Impulse During Walking Using Deep Learning.

Authors:  Issam Boukhennoufa; Zainab Altai; Xiaojun Zhai; Victor Utti; Klaus D McDonald-Maier; Bernard X W Liew
Journal:  Front Bioeng Biotechnol       Date:  2022-05-12

2.  Association between foot posture and tibiofemoral contact forces during barefoot walking in patients with knee osteoarthritis.

Authors:  Takanari Kubo; Daisuke Uritani; Shinya Ogaya; Shunsuke Kita; Takahiko Fukumoto; Tadashi Fujii; Yusuke Inagaki; Yasuhito Tanaka; Hidetaka Imagita
Journal:  BMC Musculoskelet Disord       Date:  2022-07-12       Impact factor: 2.562

Review 3.  Inertial Motion Capture-Based Wearable Systems for Estimation of Joint Kinetics: A Systematic Review.

Authors:  Chang June Lee; Jung Keun Lee
Journal:  Sensors (Basel)       Date:  2022-03-25       Impact factor: 3.576

  3 in total

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