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

CHOPPIN, Simon, CLARKSON, Sean, BULLAS, Alice, THELWELL, Michael, HELLER, Ben and WHEAT, Jon (2020). Anatomical and principal axes are not aligned in the torso: considerations for users of geometric modelling methods. Journal of Biomechanics, p. 110151.

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Official URL: https://www.sciencedirect.com/science/article/pii/...
Link to published version:: https://doi.org/10.1016/j.jbiomech.2020.110151

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.

Item Type: Article
Uncontrolled Keywords: Biomedical Engineering; 0903 Biomedical Engineering; 0913 Mechanical Engineering; 1106 Human Movement and Sports Sciences
Identification Number: https://doi.org/10.1016/j.jbiomech.2020.110151
Page Range: p. 110151
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 03 Dec 2020 17:28
Last Modified: 27 Nov 2021 01:18
URI: https://shura.shu.ac.uk/id/eprint/27718

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