Literature DB >> 17509885

Qualitative and quantitative descriptions of glenohumeral motion.

A M Hill1, A M J Bull, A L Wallace, G R Johnson.   

Abstract

Joint modelling plays an important role in qualitative and quantitative descriptions of both normal and abnormal joints, as well as predicting outcomes of alterations to joints in orthopaedic practice and research. Contemporary efforts in modelling have focussed upon the major articulations of the lower limb. Well-constrained arthrokinematics can form the basis of manageable kinetic and dynamic mathematical predictions. In order to contain computation of shoulder complex modelling, glenohumeral joint representations in both limited and complete shoulder girdle models have undergone a generic simplification. As such, glenohumeral joint models are often based upon kinematic descriptions of inadequate degrees of freedom (DOF) for clinical purposes and applications. Qualitative descriptions of glenohumeral motion range from the parody of a hinge joint to the complex realism of a spatial joint. In developing a model, a clear idea of intention is required in order to achieve a required application. Clinical applicability of a model requires both descriptive and predictive output potentials, and as such, a high level of validation is required. Without sufficient appreciation of the clinical intention of the arthrokinematic foundation to a model, error is all too easily introduced. Mathematical description of joint motion serves to quantify all relevant clinical parameters. Commonly, both the Euler angle and helical (screw) axis methods have been applied to the glenohumeral joint, although concordance between these methods and classical anatomical appreciation of joint motion is limited, resulting in miscommunication between clinician and engineer. Compounding these inconsistencies in motion quantification is gimbal lock and sequence dependency.

Mesh:

Year:  2007        PMID: 17509885     DOI: 10.1016/j.gaitpost.2007.04.008

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  7 in total

1.  Analyzing shoulder translation with navigation technology.

Authors:  S Zakani; G Venne; E J Smith; R Bicknell; R E Ellis
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-08-02       Impact factor: 2.924

2.  Central Commands to the Elbow and Shoulder Muscles During Circular Planar Movements of Hand With Simultaneous Generation of Tangential Forces.

Authors:  Alexander I Kostyukov; Andriy V Gorkovenko; Yurii A Kulyk; Oleksii V Lehedza; Dmytro I Shushuiev; Mariusz Zasada; Serhii S Strafun
Journal:  Front Physiol       Date:  2022-05-19       Impact factor: 4.755

3.  Modeling a rotator cuff tear: Individualized shoulder muscle forces influence glenohumeral joint contact force predictions.

Authors:  Meghan E Vidt; Anthony C Santago; Anthony P Marsh; Eric J Hegedus; Christopher J Tuohy; Gary G Poehling; Michael T Freehill; Michael E Miller; Katherine R Saul
Journal:  Clin Biomech (Bristol, Avon)       Date:  2018-10-04       Impact factor: 2.063

4.  Upper limb posture estimation in robotic and virtual reality-based rehabilitation.

Authors:  Camilo Cortés; Aitor Ardanza; F Molina-Rueda; A Cuesta-Gómez; Luis Unzueta; Gorka Epelde; Oscar E Ruiz; Alessandro De Mauro; Julian Florez
Journal:  Biomed Res Int       Date:  2014-07-08       Impact factor: 3.411

5.  Hysteresis and Synergy of the Central Commands to Muscles Participating in Parafrontal Upper Limb Movements.

Authors:  Alexander I Kostyukov; Oleksii V Lehedza; Andrii V Gorkovenko; Tetiana I Abramovych; Wieslawa Pilewska; Viktor S Mischenko; Mariusz Zasada
Journal:  Front Physiol       Date:  2019-11-26       Impact factor: 4.566

6.  The Movement- and Load-Dependent Differences in the EMG Patterns of the Human Arm Muscles during Two-Joint Movements (A Preliminary Study).

Authors:  Tomasz Tomiak; Tetiana I Abramovych; Andriy V Gorkovenko; Inna V Vereshchaka; Viktor S Mishchenko; Marcin Dornowski; Alexander I Kostyukov
Journal:  Front Physiol       Date:  2016-06-08       Impact factor: 4.566

7.  A survey of human shoulder functional kinematic representations.

Authors:  Rakesh Krishnan; Niclas Björsell; Elena M Gutierrez-Farewik; Christian Smith
Journal:  Med Biol Eng Comput       Date:  2018-10-26       Impact factor: 2.602

  7 in total

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