Literature DB >> 23873010

Clinical applications of musculoskeletal modelling for the shoulder and upper limb.

Bart Bolsterlee1, Dirkjan H E J Veeger, Edward K Chadwick.   

Abstract

Musculoskeletal models have been developed to estimate internal loading on the human skeleton, which cannot directly be measured in vivo, from external measurements like kinematics and external forces. Such models of the shoulder and upper extremity have been used for a variety of purposes, ranging from understanding basic shoulder biomechanics to assisting in preoperative planning. In this review, we provide an overview of the most commonly used large-scale shoulder and upper extremity models and categorise the applications of these models according to the type of questions their users aimed to answer. We found that the most explored feature of a model is the possibility to predict the effect of a structural adaptation on functional outcome, for instance, to simulate a tendon transfer preoperatively. Recent studies have focused on minimising the mismatch in morphology between the model, often derived from cadaver studies, and the subject that is analysed. However, only a subset of the parameters that describe the model's geometry and, perhaps most importantly, the musculotendon properties can be obtained in vivo. Because most parameters are somehow interrelated, the others should be scaled to prevent inconsistencies in the model's structure, but it is not known exactly how. Although considerable effort is put into adding complexity to models, for example, by making them subject-specific, we have found little evidence of their superiority over current models. The current trend in development towards individualised, more complex models needs to be justified by demonstrating their ability to answer questions that cannot already be answered by existing models.

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Year:  2013        PMID: 23873010     DOI: 10.1007/s11517-013-1099-5

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  94 in total

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2.  Biomechanical analysis of tendon transfers for massive rotator cuff tears.

Authors:  D J Magermans; E K J Chadwick; H E J Veeger; F C T van der Helm; P M Rozing
Journal:  Clin Biomech (Bristol, Avon)       Date:  2004-05       Impact factor: 2.063

3.  Relationships between psychophysically acceptable and maximum voluntary hand force capacity in the context of underlying biomechanical limitations.

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4.  A model of the upper extremity for simulating musculoskeletal surgery and analyzing neuromuscular control.

Authors:  Katherine R S Holzbaur; Wendy M Murray; Scott L Delp
Journal:  Ann Biomed Eng       Date:  2005-06       Impact factor: 3.934

5.  Validation of a new model-based tracking technique for measuring three-dimensional, in vivo glenohumeral joint kinematics.

Authors:  Michael J Bey; Roger Zauel; Stephanie K Brock; Scott Tashman
Journal:  J Biomech Eng       Date:  2006-08       Impact factor: 2.097

6.  Glenohumeral contact forces and muscle forces evaluated in wheelchair-related activities of daily living in able-bodied subjects versus subjects with paraplegia and tetraplegia.

Authors:  Stefan van Drongelen; Lucas H van der Woude; Thomas W Janssen; Edmond L Angenot; Edward K Chadwick; Dirkjan H Veeger
Journal:  Arch Phys Med Rehabil       Date:  2005-07       Impact factor: 3.966

7.  Statistical data base for the biomechanical properties of the human shoulder complex--II: Passive resistive properties beyond the shoulder complex sinus.

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8.  Force analysis of individual muscles acting simultaneously on the shoulder joint during isometric abduction.

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9.  A modular neural model of motor synergies.

Authors:  Kiran V Byadarhaly; Mithun C Perdoor; Ali A Minai
Journal:  Neural Netw       Date:  2012-02-14

10.  Biomechanics of latissimus dorsi transfer for irreparable posterosuperior rotator cuff tears.

Authors:  H Y Ling; J G Angeles; M B Horodyski
Journal:  Clin Biomech (Bristol, Avon)       Date:  2009-01-30       Impact factor: 2.063

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  13 in total

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Authors:  Ziyun Ding; Chui K Tsang; Daniel Nolte; Angela E Kedgley; Anthony M J Bull
Journal:  IEEE Trans Biomed Eng       Date:  2019-03-28       Impact factor: 4.538

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Journal:  Med Biol Eng Comput       Date:  2015-02-08       Impact factor: 2.602

Review 3.  Restoring standing capabilities with feedback control of functional neuromuscular stimulation following spinal cord injury.

Authors:  Raviraj Nataraj; Musa L Audu; Ronald J Triolo
Journal:  Med Eng Phys       Date:  2017-02-15       Impact factor: 2.242

4.  Shoulder biomechanics and the success of translational research.

Authors:  Andrea Giovanni Cutti; Edward K Chadwick
Journal:  Med Biol Eng Comput       Date:  2014-03       Impact factor: 2.602

5.  Number of pegs influence focal stress distributions and micromotion in glenoid implants: a finite element study.

Authors:  Abdul Hadi Abdul Wahab; Mohammed Rafiq Abdul Kadir; Muhammad Noor Harun; Tunku Kamarul; Ardiyansyah Syahrom
Journal:  Med Biol Eng Comput       Date:  2016-06-02       Impact factor: 2.602

6.  A Patient-Specific Foot Model for the Estimate of Ankle Joint Forces in Patients with Juvenile Idiopathic Arthritis.

Authors:  Joe A I Prinold; Claudia Mazzà; Roberto Di Marco; Iain Hannah; Clara Malattia; Silvia Magni-Manzoni; Maurizio Petrarca; Anna B Ronchetti; Laura Tanturri de Horatio; E H Pieter van Dijkhuizen; Stefan Wesarg; Marco Viceconti
Journal:  Ann Biomed Eng       Date:  2015-09-15       Impact factor: 3.934

7.  Real-time inverse kinematics for the upper limb: a model-based algorithm using segment orientations.

Authors:  Bence J Borbély; Péter Szolgay
Journal:  Biomed Eng Online       Date:  2017-01-17       Impact factor: 2.819

Review 8.  Finite element models of the human shoulder complex: a review of their clinical implications and modelling techniques.

Authors:  Manxu Zheng; Zhenmin Zou; Paulo Jorge Da Silva Bartolo; Chris Peach; Lei Ren
Journal:  Int J Numer Method Biomed Eng       Date:  2016-03-22       Impact factor: 2.747

9.  In vivo human gracilis whole-muscle passive stress-sarcomere strain relationship.

Authors:  Lomas S Persad; Benjamin I Binder-Markey; Alexander Y Shin; Kenton R Kaufman; Richard L Lieber
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10.  A Biomechanical Model of the Scapulothoracic Joint to Accurately Capture Scapular Kinematics during Shoulder Movements.

Authors:  Ajay Seth; Ricardo Matias; António P Veloso; Scott L Delp
Journal:  PLoS One       Date:  2016-01-06       Impact factor: 3.240

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