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

Title
Modelling Movement Energetics Using Global Positioning System Devices in Contact Team Sports: Limitations and Solutions
Publication Date
2018
Author(s)
Gray, Adrian
( author )
OrcID: https://orcid.org/0000-0002-9302-9632
Email: agray28@une.edu.au
UNE Id une-id:agray28
Shorter, Kathleen
( author )
OrcID: https://orcid.org/0000-0002-1309-5884
Email: kshorter@une.edu.au
UNE Id une-id:kshorter
Cummins, Cloe
( author )
OrcID: https://orcid.org/0000-0003-1960-8916
Email: ccummin5@une.edu.au
UNE Id une-id:ccummin5
Murphy, Aron
Waldron, Mark
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Springer
Place of publication
Germany
DOI
10.1007/s40279-018-0899-z
UNE publication id
une:23377
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 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.
Link
Citation
Sports Medicine, 48(6), p. 1357-1368
ISSN
1179-2035
0112-1642
Start page
1357
End page
1368

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closed/SOURCE03.pdf 167.707 KB application/pdf administrative (hidden) View document
open/ModellingGrayShorterCumminsMurphyWaldron2018JournalArticlePostPeerReview.pdf 654.141 KB application/pdf Open access version View document