Prediction of Propulsion Kinematics and Performance in Wheelchair Rugby

<div><p>Prediction of propulsion kinematics and performance in wheelchair sports has the potential to improve capabilities of individual wheelchair prescription while minimizing testing requirements. While propulsion predictions have been developed for daily propulsion, these have not be...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي: David S. Haydon (13011048) (author)
مؤلفون آخرون: Ross A. Pinder (13011051) (author), Paul N. Grimshaw (13011054) (author), William S. P. Robertson (6292487) (author), Connor J. M. Holdback (13011057) (author)
منشور في: 2022
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author David S. Haydon (13011048)
author2 Ross A. Pinder (13011051)
Paul N. Grimshaw (13011054)
William S. P. Robertson (6292487)
Connor J. M. Holdback (13011057)
author2_role author
author
author
author
author_facet David S. Haydon (13011048)
Ross A. Pinder (13011051)
Paul N. Grimshaw (13011054)
William S. P. Robertson (6292487)
Connor J. M. Holdback (13011057)
author_role author
dc.creator.none.fl_str_mv David S. Haydon (13011048)
Ross A. Pinder (13011051)
Paul N. Grimshaw (13011054)
William S. P. Robertson (6292487)
Connor J. M. Holdback (13011057)
dc.date.none.fl_str_mv 2022-07-07T03:00:00Z
dc.identifier.none.fl_str_mv 10.3389/fspor.2022.856934
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Prediction_of_Propulsion_Kinematics_and_Performance_in_Wheelchair_Rugby/25513867
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Health sciences
Public health
Human society
Anthropology
paralympic sport
wheelchair propulsion
wheelchair configuration
regression
modeling
dc.title.none.fl_str_mv Prediction of Propulsion Kinematics and Performance in Wheelchair Rugby
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <div><p>Prediction of propulsion kinematics and performance in wheelchair sports has the potential to improve capabilities of individual wheelchair prescription while minimizing testing requirements. While propulsion predictions have been developed for daily propulsion, these have not been extended for maximal effort in wheelchair sports. A two step-approach to predicting the effects of changing set-up in wheelchair rugby was developed, consisting of: (One) predicting propulsion kinematics during a 5 m sprint by adapting an existing linkage model; and (Two) applying partial least-squares regression to wheelchair set-up, propulsion kinematics, and performance. Eight elite wheelchair rugby players completed 5 m sprints in nine wheelchair set-ups while varying seat height, seat depth, seat angle, and tire pressure. Propulsion kinematics (contact and release angles) and performance (sprint time) were measured during each sprint and used for training and assessment for both models. Results were assessed through comparison of predicted and experimental propulsion kinematics (degree differences) for Step One and performance times (seconds differences) for Step Two. Kinematic measures, in particular contact angles, were identified with mean prediction errors less than 5 degrees for 43 of 48 predictions. Performance predictions were found to reflect on-court trends for some players, while others showed weaker prediction accuracy. More detailed modeling approaches that can account for individual athlete activity limitations would likely result in improved accuracy in propulsion and performance predictions across a range of wheelchair sports. Although this would come at an increased cost, developments would provide opportunities for more suitable set-ups earlier in an athlete's career, increasing performance and reducing injury risk.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Frontiers in Sports and Active Living<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fspor.2022.856934" target="_blank">https://dx.doi.org/10.3389/fspor.2022.856934</a></p>
eu_rights_str_mv openAccess
id Manara2_b8bedf5a0fb88a25e19aaa78d916bac8
identifier_str_mv 10.3389/fspor.2022.856934
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/25513867
publishDate 2022
repository.mail.fl_str_mv
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rights_invalid_str_mv CC BY 4.0
spelling Prediction of Propulsion Kinematics and Performance in Wheelchair RugbyDavid S. Haydon (13011048)Ross A. Pinder (13011051)Paul N. Grimshaw (13011054)William S. P. Robertson (6292487)Connor J. M. Holdback (13011057)Health sciencesPublic healthHuman societyAnthropologyparalympic sportwheelchair propulsionwheelchair configurationregressionmodeling<div><p>Prediction of propulsion kinematics and performance in wheelchair sports has the potential to improve capabilities of individual wheelchair prescription while minimizing testing requirements. While propulsion predictions have been developed for daily propulsion, these have not been extended for maximal effort in wheelchair sports. A two step-approach to predicting the effects of changing set-up in wheelchair rugby was developed, consisting of: (One) predicting propulsion kinematics during a 5 m sprint by adapting an existing linkage model; and (Two) applying partial least-squares regression to wheelchair set-up, propulsion kinematics, and performance. Eight elite wheelchair rugby players completed 5 m sprints in nine wheelchair set-ups while varying seat height, seat depth, seat angle, and tire pressure. Propulsion kinematics (contact and release angles) and performance (sprint time) were measured during each sprint and used for training and assessment for both models. Results were assessed through comparison of predicted and experimental propulsion kinematics (degree differences) for Step One and performance times (seconds differences) for Step Two. Kinematic measures, in particular contact angles, were identified with mean prediction errors less than 5 degrees for 43 of 48 predictions. Performance predictions were found to reflect on-court trends for some players, while others showed weaker prediction accuracy. More detailed modeling approaches that can account for individual athlete activity limitations would likely result in improved accuracy in propulsion and performance predictions across a range of wheelchair sports. Although this would come at an increased cost, developments would provide opportunities for more suitable set-ups earlier in an athlete's career, increasing performance and reducing injury risk.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Frontiers in Sports and Active Living<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fspor.2022.856934" target="_blank">https://dx.doi.org/10.3389/fspor.2022.856934</a></p>2022-07-07T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3389/fspor.2022.856934https://figshare.com/articles/journal_contribution/Prediction_of_Propulsion_Kinematics_and_Performance_in_Wheelchair_Rugby/25513867CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/255138672022-07-07T03:00:00Z
spellingShingle Prediction of Propulsion Kinematics and Performance in Wheelchair Rugby
David S. Haydon (13011048)
Health sciences
Public health
Human society
Anthropology
paralympic sport
wheelchair propulsion
wheelchair configuration
regression
modeling
status_str publishedVersion
title Prediction of Propulsion Kinematics and Performance in Wheelchair Rugby
title_full Prediction of Propulsion Kinematics and Performance in Wheelchair Rugby
title_fullStr Prediction of Propulsion Kinematics and Performance in Wheelchair Rugby
title_full_unstemmed Prediction of Propulsion Kinematics and Performance in Wheelchair Rugby
title_short Prediction of Propulsion Kinematics and Performance in Wheelchair Rugby
title_sort Prediction of Propulsion Kinematics and Performance in Wheelchair Rugby
topic Health sciences
Public health
Human society
Anthropology
paralympic sport
wheelchair propulsion
wheelchair configuration
regression
modeling