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Modelling Movement Energetics Using Global Positioning System Devices in Contact Team Sports: Limitations and Solutions

Adrian J. Gray, Kathleen Shorter, Cloe Cummins, Aron Murphy, Mark Waldron Orcid Logo

Sports Medicine, Volume: 48, Issue: 6, Pages: 1357 - 1368

Swansea University Author: Mark Waldron Orcid Logo

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Abstract

Quantifying the training and competition loads of players in contact team sports can be performed in a variety of ways, including kinematic, perceptual, heart rate or biochemical monitoring methods. Whilst these approaches provide data relevant for team sports practitioners and athletes, their appli...

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Published in: Sports Medicine
ISSN: 0112-1642 1179-2035
Published: Springer 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa51495
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spelling 2019-09-03T15:48:28.7069913 v2 51495 2019-08-21 Modelling Movement Energetics Using Global Positioning System Devices in Contact Team Sports: Limitations and Solutions 70db7c6c54d46f5e70b39e5ae0a056fa 0000-0002-2720-4615 Mark Waldron Mark Waldron true false 2019-08-21 STSC Quantifying the training and competition loads of players in contact team sports can be performed in a variety of ways, including kinematic, perceptual, heart rate or biochemical monitoring methods. Whilst these approaches provide data relevant for team sports practitioners and athletes, their application to a contact team sport setting can sometimes be challenging or illogical. Furthermore, these methods can generate large fragmented datasets, do not provide a single global measure of training load and cannot adequately quantify all key elements of performance in contact team sports. A previous attempt to address these limitations via the estimation of metabolic energy demand (global energy measurement) has been criticised for its inability to fully quantify the energetic costs of team sports, particularly during collisions. This is despite the seemingly unintentional misapplication of the model’s principles to settings outside of its intended use. There are other hindrances to the application of such models, which are discussed herein, such as the data-handling procedures of Global Position System manufacturers and the unrealistic expectations of end users. Nevertheless, we propose an alternative energetic approach, based on Global Positioning System-derived data, to improve the assessment of mechanical load in contact team sports. We present a framework for the estimation of mechanical work performed during locomotor and contact events with the capacity to globally quantify the work done during training and matches. Journal Article Sports Medicine 48 6 1357 1368 Springer 0112-1642 1179-2035 Global positioning systems, monitoring athletes, team sport 27 3 2018 2018-03-27 10.1007/s40279-018-0899-z https://link.springer.com/article/10.1007%2Fs40279-018-0899-z COLLEGE NANME Sport and Exercise Sciences COLLEGE CODE STSC Swansea University 2019-09-03T15:48:28.7069913 2019-08-21T12:42:15.6893786 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences Adrian J. Gray 1 Kathleen Shorter 2 Cloe Cummins 3 Aron Murphy 4 Mark Waldron 0000-0002-2720-4615 5
title Modelling Movement Energetics Using Global Positioning System Devices in Contact Team Sports: Limitations and Solutions
spellingShingle Modelling Movement Energetics Using Global Positioning System Devices in Contact Team Sports: Limitations and Solutions
Mark Waldron
title_short Modelling Movement Energetics Using Global Positioning System Devices in Contact Team Sports: Limitations and Solutions
title_full Modelling Movement Energetics Using Global Positioning System Devices in Contact Team Sports: Limitations and Solutions
title_fullStr Modelling Movement Energetics Using Global Positioning System Devices in Contact Team Sports: Limitations and Solutions
title_full_unstemmed Modelling Movement Energetics Using Global Positioning System Devices in Contact Team Sports: Limitations and Solutions
title_sort Modelling Movement Energetics Using Global Positioning System Devices in Contact Team Sports: Limitations and Solutions
author_id_str_mv 70db7c6c54d46f5e70b39e5ae0a056fa
author_id_fullname_str_mv 70db7c6c54d46f5e70b39e5ae0a056fa_***_Mark Waldron
author Mark Waldron
author2 Adrian J. Gray
Kathleen Shorter
Cloe Cummins
Aron Murphy
Mark Waldron
format Journal article
container_title Sports Medicine
container_volume 48
container_issue 6
container_start_page 1357
publishDate 2018
institution Swansea University
issn 0112-1642
1179-2035
doi_str_mv 10.1007/s40279-018-0899-z
publisher Springer
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences
url https://link.springer.com/article/10.1007%2Fs40279-018-0899-z
document_store_str 0
active_str 0
description Quantifying the training and competition loads of players in contact team sports can be performed in a variety of ways, including kinematic, perceptual, heart rate or biochemical monitoring methods. Whilst these approaches provide data relevant for team sports practitioners and athletes, their application to a contact team sport setting can sometimes be challenging or illogical. Furthermore, these methods can generate large fragmented datasets, do not provide a single global measure of training load and cannot adequately quantify all key elements of performance in contact team sports. A previous attempt to address these limitations via the estimation of metabolic energy demand (global energy measurement) has been criticised for its inability to fully quantify the energetic costs of team sports, particularly during collisions. This is despite the seemingly unintentional misapplication of the model’s principles to settings outside of its intended use. There are other hindrances to the application of such models, which are discussed herein, such as the data-handling procedures of Global Position System manufacturers and the unrealistic expectations of end users. Nevertheless, we propose an alternative energetic approach, based on Global Positioning System-derived data, to improve the assessment of mechanical load in contact team sports. We present a framework for the estimation of mechanical work performed during locomotor and contact events with the capacity to globally quantify the work done during training and matches.
published_date 2018-03-27T04:03:24Z
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score 11.013082