The anthropometries of elite wheelchair racing athletes differ from the generic, able-bodied anthropometries commonly used in computational biomechanical simulations. The impact of using able-bodied parameters on the accuracy of simulations involving wheelchair racing is currently unknown. In this study, athlete-specific mass segment inertial parameters of the head and neck, torso, upper arm, forearm, hand, thigh, shank, and feet for five elite wheelchair athletes were calculated using dual-energy X-ray absorptiometry (DXA) scans. These were compared against commonly used anthropometrics parameters of data presented in the literature. A computational biomechanical simulation of wheelchair propulsion using the upper extremity dynamic model in opensim assessed the sensitivity of athlete-specific mass parameters using Kruskal–Wallis analysis and Spearman correlations. Substantial between-athlete body mass distribution variances (thigh mass between 7.8% and 22.4% total body mass) and between-limb asymmetries (<62.4% segment mass; 3.1 kg) were observed. Compared to nonathletic able-bodied anthropometric data, wheelchair racing athletes demonstrated greater mass in the upper extremities (up to 3.8% total body mass) and less in the lower extremities (up to 9.8% total body mass). Computational simulations were sensitive to individual body mass distribution, with joint torques increasing by up to 31.5% when the scaling of segment masses (measured or generic) differed by up to 2.3% total body mass. These data suggest that nonathletic, able-bodied mass segment inertial parameters are inappropriate for analyzing elite wheelchair racing motion.
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October 2019
Research-Article
The Effects of Personalized Versus Generic Scaling of Body Segment Masses on Joint Torques During Stationary Wheelchair Racing
Amy R. Lewis,
Amy R. Lewis
Movement Science,
Australian Institute of Sport,
Canberra 2617, Australia;
Australian Institute of Sport,
Canberra 2617, Australia;
School of Mechanical Engineering,
Faculty of Engineering,
Computer and Mathematical Sciences,
The University of Adelaide,
Adelaide 5005, Australia
e-mail: amy.lewis@adelaide.edu.au
Faculty of Engineering,
Computer and Mathematical Sciences,
The University of Adelaide,
Adelaide 5005, Australia
e-mail: amy.lewis@adelaide.edu.au
1Corresponding author.
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William S. P. Robertson,
William S. P. Robertson
School of Mechanical Engineering,
Faculty of Engineering,
Computer and Mathematical Sciences,
The University of Adelaide,
Adelaide 5005, Australia
e-mail: william.robertson@adelaide.edu.au
Faculty of Engineering,
Computer and Mathematical Sciences,
The University of Adelaide,
Adelaide 5005, Australia
e-mail: william.robertson@adelaide.edu.au
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Elissa J. Phillips,
Elissa J. Phillips
Movement Science,
Australian Institute of Sport,
Canberra 2617, Australia
e-mail: Elissa.phillips@ausport.gov.au
Australian Institute of Sport,
Canberra 2617, Australia
e-mail: Elissa.phillips@ausport.gov.au
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Paul N. Grimshaw,
Paul N. Grimshaw
School of Mechanical Engineering,
Faculty of Engineering,
Computer and Mathematical Sciences,
The University of Adelaide,
Adelaide 5005, Australia
e-mail: Paul.grimshaw@adelaide.edu.au
Faculty of Engineering,
Computer and Mathematical Sciences,
The University of Adelaide,
Adelaide 5005, Australia
e-mail: Paul.grimshaw@adelaide.edu.au
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Marc Portus
Marc Portus
Movement Science,
Australian Institute of Sport,
Canberra 2617, Australia
e-mail: Marc.portus@ausport.gov.au
Australian Institute of Sport,
Canberra 2617, Australia
e-mail: Marc.portus@ausport.gov.au
Search for other works by this author on:
Amy R. Lewis
Movement Science,
Australian Institute of Sport,
Canberra 2617, Australia;
Australian Institute of Sport,
Canberra 2617, Australia;
School of Mechanical Engineering,
Faculty of Engineering,
Computer and Mathematical Sciences,
The University of Adelaide,
Adelaide 5005, Australia
e-mail: amy.lewis@adelaide.edu.au
Faculty of Engineering,
Computer and Mathematical Sciences,
The University of Adelaide,
Adelaide 5005, Australia
e-mail: amy.lewis@adelaide.edu.au
William S. P. Robertson
School of Mechanical Engineering,
Faculty of Engineering,
Computer and Mathematical Sciences,
The University of Adelaide,
Adelaide 5005, Australia
e-mail: william.robertson@adelaide.edu.au
Faculty of Engineering,
Computer and Mathematical Sciences,
The University of Adelaide,
Adelaide 5005, Australia
e-mail: william.robertson@adelaide.edu.au
Elissa J. Phillips
Movement Science,
Australian Institute of Sport,
Canberra 2617, Australia
e-mail: Elissa.phillips@ausport.gov.au
Australian Institute of Sport,
Canberra 2617, Australia
e-mail: Elissa.phillips@ausport.gov.au
Paul N. Grimshaw
School of Mechanical Engineering,
Faculty of Engineering,
Computer and Mathematical Sciences,
The University of Adelaide,
Adelaide 5005, Australia
e-mail: Paul.grimshaw@adelaide.edu.au
Faculty of Engineering,
Computer and Mathematical Sciences,
The University of Adelaide,
Adelaide 5005, Australia
e-mail: Paul.grimshaw@adelaide.edu.au
Marc Portus
Movement Science,
Australian Institute of Sport,
Canberra 2617, Australia
e-mail: Marc.portus@ausport.gov.au
Australian Institute of Sport,
Canberra 2617, Australia
e-mail: Marc.portus@ausport.gov.au
1Corresponding author.
Manuscript received December 16, 2017; final manuscript received May 26, 2019; published online July 11, 2019. Assoc. Editor: Steven D. Abramowitch.
J Biomech Eng. Oct 2019, 141(10): 101001 (9 pages)
Published Online: July 11, 2019
Article history
Received:
December 16, 2017
Revised:
May 26, 2019
Citation
Lewis, A. R., Robertson, W. S. P., Phillips, E. J., Grimshaw, P. N., and Portus, M. (July 11, 2019). "The Effects of Personalized Versus Generic Scaling of Body Segment Masses on Joint Torques During Stationary Wheelchair Racing." ASME. J Biomech Eng. October 2019; 141(10): 101001. https://doi.org/10.1115/1.4043869
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