Literature DB >> 20841622

A marker-based mean finite helical axis model to determine elbow rotation axes and kinematics in vivo.

Aaron Chin1, David Lloyd, Jacqueline Alderson, Bruce Elliott, Peter Mills.   

Abstract

The predominance of upper-limb elbow models have been based on earlier lower-limb motion analysis models. We developed and validated a functionally based 2 degree-of-freedom upper-limb model to measure rotations of the forearm using a marker-based approach. Data were collected from humans and a mechanical arm with known axes and ranges of angular motion in 3 planes. This upper-limb model was compared with an anatomically based model following the proposed ISB standardization. Location of the axes of rotation relative to each other was determined in vivo. Data indicated that the functional model was not influenced by cross-talk from adduction-abduction, accurately measuring flexion-extension and pronation-supination. The functional flexion-extension axis in vivo is angled at 6.6 degrees to the anatomical line defined from the humeral medial to lateral epicondyles. The pronation-supination axis intersected the anatomically defined flexion-extension axis at 88.1 degrees. Influence of cross-talk on flexion-extension kinematics in the anatomical model was indicated by strong correlation between flexion-extension and adduction-abduction angles for tasks performed by the subjects. The proposed functional model eliminated cross-talk by sharing a common flexion axis between the humerus and forearm. In doing so, errors due to misalignment of axes are minimized providing greater accuracy in kinematic data.

Entities:  

Mesh:

Year:  2010        PMID: 20841622     DOI: 10.1123/jab.26.3.305

Source DB:  PubMed          Journal:  J Appl Biomech        ISSN: 1065-8483            Impact factor:   1.833


  4 in total

1.  Body Segment Inertial Parameters of elite swimmers Using DXA and indirect Methods.

Authors:  Marcel Rossi; Andrew Lyttle; Amar El-Sallam; Nat Benjanuvatra; Brian Blanksby
Journal:  J Sports Sci Med       Date:  2013-12-01       Impact factor: 2.988

2.  The inter-tester repeatability of a model for analysing elbow flexion-extension during overhead sporting movements.

Authors:  Denny J M Wells; Cyril J Donnelly; Bruce C Elliott; Kane J Middleton; Jacqueline A Alderson
Journal:  Med Biol Eng Comput       Date:  2018-04-03       Impact factor: 2.602

3.  Predicting athlete ground reaction forces and moments from motion capture.

Authors:  William R Johnson; Ajmal Mian; Cyril J Donnelly; David Lloyd; Jacqueline Alderson
Journal:  Med Biol Eng Comput       Date:  2018-03-17       Impact factor: 2.602

4.  Effect of relative marker movement on the calculation of the foot torsion axis using a combined Cardan angle and helical axis approach.

Authors:  Eveline S Graf; Ian C Wright; Darren J Stefanyshyn
Journal:  Comput Math Methods Med       Date:  2012-05-14       Impact factor: 2.238

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.