Injury Prevention of Elite Wheelchair Racing Athletes Using Simulation Approaches

A high prevalence of shoulder injuries exists across the wheelchair using populations. To maintain competitive longevity and optimise performance, athletes must employ techniques which pose minimal injury risk. A computational model was used to assess relationships between the magnitude of reaction...

Full description

Bibliographic Details
Main Authors: Amy R. Lewis, Elissa J. Phillips, William S. P. Robertson, Paul N. Grimshaw, Marc Portus
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Proceedings
Subjects:
Online Access:http://www.mdpi.com/2504-3900/2/6/255
id doaj-677e5dec4b894196a6b94eec16342053
record_format Article
spelling doaj-677e5dec4b894196a6b94eec163420532020-11-24T22:21:22ZengMDPI AGProceedings2504-39002018-02-012625510.3390/proceedings2060255proceedings2060255Injury Prevention of Elite Wheelchair Racing Athletes Using Simulation ApproachesAmy R. Lewis0Elissa J. Phillips1William S. P. Robertson2Paul N. Grimshaw3Marc Portus4School of Mechanical Engineering, University of Adelaide, Adelaide 5005, AustraliaMovement Science, Australian Institute of Sport, Canberra 2617, AustraliaSchool of Mechanical Engineering, University of Adelaide, Adelaide 5005, AustraliaSchool of Mechanical Engineering, University of Adelaide, Adelaide 5005, AustraliaMovement Science, Australian Institute of Sport, Canberra 2617, AustraliaA high prevalence of shoulder injuries exists across the wheelchair using populations. To maintain competitive longevity and optimise performance, athletes must employ techniques which pose minimal injury risk. A computational model was used to assess relationships between the magnitude of reaction moments at the shoulder with key propulsion characteristics, including; contact and release angles, hand speed at contact, and joint angles at contact. Subject-specific musculoskeletal models (mass, maximum isometric force) for two elite wheelchair racing athletes were derived, and driven through kinetic and kinematic data obtained using motion capture. Greater reaction moments (min 72.6 Nm, max: 1077.8 Nm) at the shoulder were correlated with hand velocity (7.2 m/s–9.3 m/s) at contact (|r| > 0.866, p < 0.013), push time (|r| > 0.866, p < 0.013), and kinematic positioning at contact (|r| > 0.784, p < 0.020). Variations between athlete reaction force at the pushrim and joint reaction moments demonstrate the importance of coupled kinematic and modelling analysis in prescribing technique adaptations.http://www.mdpi.com/2504-3900/2/6/255wheelchair racing kinematicsinjurycomputational modellingmusculoskeletal model
collection DOAJ
language English
format Article
sources DOAJ
author Amy R. Lewis
Elissa J. Phillips
William S. P. Robertson
Paul N. Grimshaw
Marc Portus
spellingShingle Amy R. Lewis
Elissa J. Phillips
William S. P. Robertson
Paul N. Grimshaw
Marc Portus
Injury Prevention of Elite Wheelchair Racing Athletes Using Simulation Approaches
Proceedings
wheelchair racing kinematics
injury
computational modelling
musculoskeletal model
author_facet Amy R. Lewis
Elissa J. Phillips
William S. P. Robertson
Paul N. Grimshaw
Marc Portus
author_sort Amy R. Lewis
title Injury Prevention of Elite Wheelchair Racing Athletes Using Simulation Approaches
title_short Injury Prevention of Elite Wheelchair Racing Athletes Using Simulation Approaches
title_full Injury Prevention of Elite Wheelchair Racing Athletes Using Simulation Approaches
title_fullStr Injury Prevention of Elite Wheelchair Racing Athletes Using Simulation Approaches
title_full_unstemmed Injury Prevention of Elite Wheelchair Racing Athletes Using Simulation Approaches
title_sort injury prevention of elite wheelchair racing athletes using simulation approaches
publisher MDPI AG
series Proceedings
issn 2504-3900
publishDate 2018-02-01
description A high prevalence of shoulder injuries exists across the wheelchair using populations. To maintain competitive longevity and optimise performance, athletes must employ techniques which pose minimal injury risk. A computational model was used to assess relationships between the magnitude of reaction moments at the shoulder with key propulsion characteristics, including; contact and release angles, hand speed at contact, and joint angles at contact. Subject-specific musculoskeletal models (mass, maximum isometric force) for two elite wheelchair racing athletes were derived, and driven through kinetic and kinematic data obtained using motion capture. Greater reaction moments (min 72.6 Nm, max: 1077.8 Nm) at the shoulder were correlated with hand velocity (7.2 m/s–9.3 m/s) at contact (|r| > 0.866, p < 0.013), push time (|r| > 0.866, p < 0.013), and kinematic positioning at contact (|r| > 0.784, p < 0.020). Variations between athlete reaction force at the pushrim and joint reaction moments demonstrate the importance of coupled kinematic and modelling analysis in prescribing technique adaptations.
topic wheelchair racing kinematics
injury
computational modelling
musculoskeletal model
url http://www.mdpi.com/2504-3900/2/6/255
work_keys_str_mv AT amyrlewis injurypreventionofelitewheelchairracingathletesusingsimulationapproaches
AT elissajphillips injurypreventionofelitewheelchairracingathletesusingsimulationapproaches
AT williamsprobertson injurypreventionofelitewheelchairracingathletesusingsimulationapproaches
AT paulngrimshaw injurypreventionofelitewheelchairracingathletesusingsimulationapproaches
AT marcportus injurypreventionofelitewheelchairracingathletesusingsimulationapproaches
_version_ 1725771557305843712