Literature DB >> 33307355

Anatomical and principal axes are not aligned in the torso: Considerations for users of geometric modelling methods.

Simon Choppin1, Sean Clarkson2, Alice Bullas2, Michael Thelwell2, Ben Heller2, Jon Wheat2.   

Abstract

The accuracy and accessibility of methods to calculate body segment inertial parameters are a key concern for many researchers. It has recently been demonstrated that the magnitude and orientation of principal moments of inertia are crucial for accurate dynamic models. This is important to consider given that the orientation of principal axes is fixed for the majority of geometric and regression body models. This paper quantifies the effect of subject specific geometry on the magnitude and orientation of second moments of volume in the trunk segment. The torsos of 40 male participants were scanned using a 3D imaging system and the magnitude and orientation of principal moments of volume were calculated from the resulting geometry. Principal axes are not aligned with the segment co-ordinate system in the torso segment, with mean Euler angles of 11.7, 1.9 and 10.3 in the ZXY convention. Researchers using anatomical modelling techniques should try and account for subject specific geometry and the mis-alignment of principal axes. This will help to reduce errors in simulation by mitigating the effect of errors in magnitude of principal moments.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  3D Imaging; Body Segment Inertial Parameters; Geometric Modelling; Inverse Dynamics; Principal Axes

Year:  2020        PMID: 33307355     DOI: 10.1016/j.jbiomech.2020.110151

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


  3 in total

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2.  Torso Shape Improves the Prediction of Body Fat Magnitude and Distribution.

Authors:  Simon Choppin; Alice Bullas; Michael Thelwell
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3.  Modelling of human torso shape variation inferred by geometric morphometrics.

Authors:  Michael Thelwell; Alice Bullas; Andreas Kühnapfel; John Hart; Peter Ahnert; Jon Wheat; Markus Loeffler; Markus Scholz; Simon Choppin
Journal:  PLoS One       Date:  2022-03-10       Impact factor: 3.240

  3 in total

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