Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/23193
Title: | Modelling Movement Energetics Using Global Positioning System Devices in Contact Team Sports: Limitations and Solutions | Contributor(s): | Gray, Adrian (author) ; Shorter, Kathleen (author) ; Cummins, Cloe (author) ; Murphy, Aron (author); Waldron, Mark (author) | Publication Date: | 2018 | Open Access: | Yes | DOI: | 10.1007/s40279-018-0899-z | Handle Link: | https://hdl.handle.net/1959.11/23193 | 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. | Publication Type: | Journal Article | Source of Publication: | Sports Medicine, 48(6), p. 1357-1368 | Publisher: | Springer | Place of Publication: | Germany | ISSN: | 1179-2035 0112-1642 |
Fields of Research (FoR) 2008: | 110601 Biomechanics 110604 Sports Medicine 110699 Human Movement and Sports Science not elsewhere classified |
Fields of Research (FoR) 2020: | 420701 Biomechanics 420702 Exercise physiology |
Socio-Economic Objective (SEO) 2008: | 970110 Expanding Knowledge in Technology 970111 Expanding Knowledge in the Medical and Health Sciences 950102 Organised Sports |
Socio-Economic Objective (SEO) 2020: | 130602 Organised sports 280112 Expanding knowledge in the health sciences |
Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
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Appears in Collections: | Journal Article School of Science and Technology |
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File | Description | Size | Format | |
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open/ModellingGrayShorterCumminsMurphyWaldron2018JournalArticlePostPeerReview.pdf | Open access version | 638.81 kB | Adobe PDF Download Adobe | View/Open |
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