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Tierney G, Rowson S, Gellner R, Allan D, Iqbal S, Biglarbeigi P, Tooby J, Woodward J, Payam AF. Head Exposure to Acceleration Database in Sport (HEADSport): a kinematic signal processing method to enable instrumented mouthguard (iMG) field-based inter-study comparisons. BMJ Open Sport Exerc Med 2024; 10:e001758. [PMID: 38304714 PMCID: PMC10831454 DOI: 10.1136/bmjsem-2023-001758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/18/2023] [Indexed: 02/03/2024] Open
Abstract
Objective Instrumented mouthguard (iMG) systems use different signal processing approaches limiting field-based inter-study comparisons, especially when artefacts are present in the signal. The objective of this study was to assess the frequency content and characteristics of head kinematic signals from head impact reconstruction laboratory and field-based environments to develop an artefact attenuation filtering method (HEADSport filter method). Methods Laboratory impacts (n=72) on a test-dummy headform ranging from 25 to 150 g were conducted and 126 rugby union players were equipped with iMGs for 209 player-matches. Power spectral density (PSD) characteristics of the laboratory impacts and on-field head acceleration events (HAEs) (n=5694) such as the 95th percentile cumulative sum PSD frequency were used to develop the HEADSport method. The HEADSport filter method was compared with two other common filtering approaches (Butterworth-200Hz and CFC180 filter) through signal-to-noise ratio (SNR) and mixed linear effects models for laboratory and on-field events, respectively. Results The HEADSport filter method produced marginally higher SNR than the Butterworth-200Hz and CFC180 filter and on-field peak linear acceleration (PLA) and peak angular acceleration (PAA) values within the magnitude range tested in the laboratory. Median PLA and PAA (and outlier values) were higher for the CFC180 filter than the Butterworth-200Hz and HEADSport filter method (p<0.01). Conclusion The HEADSport filter method could enable iMG field-based inter-study comparisons and is openly available at https://github.com/GTBiomech/HEADSport-Filter-Method.
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Affiliation(s)
- Gregory Tierney
- Nanotechnology and Integrated Bioengineering Centre (NIBEC), Ulster University, Belfast, UK
- Sport and Exercise Sciences Research Institute, Ulster University, Belfast, UK
| | - Steven Rowson
- Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, Virginia, USA
| | - Ryan Gellner
- Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, Virginia, USA
| | - David Allan
- Nanotechnology and Integrated Bioengineering Centre (NIBEC), Ulster University, Belfast, UK
- Sport and Exercise Sciences Research Institute, Ulster University, Belfast, UK
| | - Sadaf Iqbal
- Sport and Exercise Sciences Research Institute, Ulster University, Belfast, UK
| | | | - James Tooby
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
| | - James Woodward
- Sport and Exercise Sciences Research Institute, Ulster University, Belfast, UK
| | - Amir Farokh Payam
- Nanotechnology and Integrated Bioengineering Centre (NIBEC), Ulster University, Belfast, UK
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Parmley J, Jones B, Whitehead S, Rennie G, Hendricks S, Johnston R, Collins N, Bennett T, Weaving D. The speed and acceleration of the ball carrier and tackler into contact during front-on tackles in rugby league. J Sports Sci 2023; 41:1450-1458. [PMID: 37925647 DOI: 10.1080/02640414.2023.2273657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 10/14/2023] [Indexed: 11/07/2023]
Abstract
The aim was to use a combination of video analysis and microtechnology (10 Hz global positioning system [GPS]) to quantify and compare the speed and acceleration of ball-carriers and tacklers during the pre-contact phase (contact - 0.5s) of the tackle event during rugby league match-play. Data were collected from 44 professional male rugby league players from two Super League clubs across two competitive matches. Tackle events were coded and subject to three stages of inclusion criteria to identify front-on tackles. 10 Hz GPS data was synchronised with video to extract the speed and acceleration of the ball-carrier and tackler into each front-on tackle (n = 214). Linear mixed effects models (effect size [ES], confidence intervals, p-values) compared differences. Overall, ball-carriers (4.73 ± 1.12 m∙s-1) had greater speed into front-on tackles than tacklers (2.82 ± 1.07 m∙s-1; ES = 1.69). Ball-carriers accelerated (0.67 ± 1.01 m∙s-2) into contact whilst tacklers decelerated (-1.26 ± 1.36 m∙s-2; ES = 1.74). Positional comparisons showed speed was greater during back vs. back (ES = 0.66) and back vs. forward (ES = 0.40) than forward vs. forward tackle events. Findings can be used to inform strategies to improve performance and player welfare.
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Affiliation(s)
- James Parmley
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
| | - Ben Jones
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
- England Performance Unit, Rugby Football League, Leeds, UK
- Premiership Rugby, London, United Kingdom
- School of Science and Technology, University of New England, Armidale, NSW, Australia
- Division of Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, the University of Cape Town and the Sports Science Institute of South Africa, Cape Town, South Africa
| | - Sarah Whitehead
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
| | - Gordon Rennie
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
- Catapult Sports, Leeds, UK
| | - Sharief Hendricks
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
- Division of Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, the University of Cape Town and the Sports Science Institute of South Africa, Cape Town, South Africa
| | - Rich Johnston
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
- School of Behavioural and Health Sciences, Australian Catholic University, Brisbane, Queensland, Australia
- Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Brisbane, QLD, Australia
| | - Neil Collins
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
- England Performance Unit, Rugby Football League, Leeds, UK
| | - Thomas Bennett
- Department of Sport, Health and Exercise Science, University of Hull, Hull, UK
- Hull F.C, Hull, UK
| | - Dan Weaving
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
- Applied Sports Science and Exercise Testing Laboratory, The University of Newcastle, Ourimbah, Australia
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