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Fernández-Valdés B, Jones B, Hendricks S, Weaving D, Ramirez-Lopez C, Whitehead S, Toro-Román V, Trabucchi M, Moras G. Comparison of Mean Values and Entropy in Accelerometry Time Series from Two Microtechnology Sensors Recorded at 100 vs. 1000 Hz During Cumulative Tackles in Young Elite Rugby League Players. SENSORS (BASEL, SWITZERLAND) 2024; 24:7910. [PMID: 39771647 PMCID: PMC11679588 DOI: 10.3390/s24247910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2024] [Revised: 12/02/2024] [Accepted: 12/04/2024] [Indexed: 01/11/2025]
Abstract
Several microtechnology devices quantify the external load of team sports using Global Positioning Systems sampling at 5, 10, or 15 Hz. However, for short, explosive actions, such as collisions, these sample rates may be limiting. It is known that very high-frequency sampling is capable of capturing changes in actions over a short period of time. Therefore, the aim of this study was to compare the mean acceleration and entropy values obtained from 100 Hz and 1000 Hz tri-axial accelerometers in tackling actions performed by rugby players. A total of 11 elite adolescent male rugby league players (mean ± SD; age: 18.5 ± 0.5 years; height: 179.5 ± 5.0 cm; body mass: 88.3 ± 13.0 kg) participate in this study. Participants performed tackles (n = 200), which were recorded using two triaxial accelerometers sampling at 100 Hz and 1000 Hz, respectively. The devices were placed together inside the Lycra vests on the players' backs. The mean acceleration, sample entropy (SampEn), and approximate entropy (ApEn) were analyzed. In mean acceleration, the 1000 Hz accelerometer obtained greater values (p < 0.05). However, SampEn and ApEn were greater with the 100 Hz accelerometer (p < 0.05). A large relationship was observed between the two devices in all the parameters analyzed (R2 > 0.5; p < 0.0001). Sampling frequency can affect the quality of the data collected, and a higher sampling frequency potentially allows for the collection of more accurate motion data. A frequency of 1000 Hz may be suitable for recording short and explosive actions.
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Affiliation(s)
- Bruno Fernández-Valdés
- Research Group in Technology Applied to High Performance and Health, TecnoCampus, Department of Health Sciences, Universitat Pompeu Fabra, 08302 Barcelona, Spain;
| | - Ben Jones
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds LS1 3HE, UK; (B.J.); (S.H.); (D.W.); (C.R.-L.); (S.W.)
- Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa
- School of Behavioural and Health Sciences, Faculty of Health Sciences, Australian Catholic University, Brisbane, QLD 4014, Australia
- England Performance Unit, Rugby Football League, Manchester M11 3FF, UK
- Premiership Rugby, London SW1V 1PX, UK
| | - Sharief Hendricks
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds LS1 3HE, UK; (B.J.); (S.H.); (D.W.); (C.R.-L.); (S.W.)
- Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa
| | - Dan Weaving
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds LS1 3HE, UK; (B.J.); (S.H.); (D.W.); (C.R.-L.); (S.W.)
- Applied Sports Science and Exercise Testing Laboratory, The University of Newcastle, Ourimbah, NSW 2258, Australia
- Department of Physical Activity and Sport, Faculty of Arts and Sciences, Edge Hill University, Ormskirk L39 4QP, UK
| | - Carlos Ramirez-Lopez
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds LS1 3HE, UK; (B.J.); (S.H.); (D.W.); (C.R.-L.); (S.W.)
| | - Sarah Whitehead
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds LS1 3HE, UK; (B.J.); (S.H.); (D.W.); (C.R.-L.); (S.W.)
- Leeds Rhinos Netball, Leeds LS6 3BR, UK
| | - Víctor Toro-Román
- Research Group in Technology Applied to High Performance and Health, TecnoCampus, Department of Health Sciences, Universitat Pompeu Fabra, 08302 Barcelona, Spain;
| | - Michela Trabucchi
- Department of Civil and Environmental Engineering, Universitat Politècnica de Catalunya (UPC), 08304 Barcelona, Spain;
| | - Gerard Moras
- National Institute of Physical Education of Catalonia (INEFC), 08038 Barcelona, Spain
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Bennett T, Marshall P, Barrett S, Malone JJ, Simpson A, Bray J, Christopherson C, Nickolay T, Metcalfe J, Towlson C. Validation of field-based running tests to determine maximal aerobic speed in professional rugby league. PLoS One 2024; 19:e0306062. [PMID: 39018277 PMCID: PMC11253982 DOI: 10.1371/journal.pone.0306062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 06/10/2024] [Indexed: 07/19/2024] Open
Abstract
Practitioners place importance on high-speed running (HSR) to monitor training practice and match-play demands, whilst attempting to maximise fitness and minimize the risk of injury occurrence. Practitioners apply various methods to quantify HSR, such as absolute thresholds, percentage of maximum sprint speed and maximal aerobic speed (MAS). A recent survey demonstrates the 5-minute run and 1200m shuttle test (ST) to be implemented among rugby league practitioners to quantify HSR by incorporating MAS. However, it is unclear as to how valid these methods are to accurately quantify MAS. Therefore, the aim of this study was to assess the validity of the 5-minute run and 1200m ST when compared to a gold standard measure for MAS. Twenty 1st team professional rugby league players competing in the European Super League participated in this study. Players were required to complete an incremental treadmill test, 5-minute run and 1200m ST over a two-week period in pre-season. MAS, peak heart rate (HRmax), peak lactate (Lapeak) and rating of perceived exertion (RPE) where collected upon completion of each test. Results demonstrated the 1200m ST to have a higher correlation for MAS than the 5-minute run (1200m ST: r = 0.73, 5-minute run: r = 0.64). However, when assessing validity using the level of agreement between data, the 5-minute run underreported MAS by 0.45 m·s-1 whereas the 1200m ST underreported MAS by 0.77 m·s-1. Ultimately, both field-based tests used in this study underreport MAS when compared to an incremental treadmill test, although the 5-minute run provides a closer agreement and therefore a more valid measurement for MAS than the 1200m ST.
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Affiliation(s)
- Thomas Bennett
- Hull F.C., Hull, United Kingdom
- School of Sport, Exercise and Rehabilitation Sciences, University of Hull, Hull, United Kingdom
| | - Phil Marshall
- School of Sport, Exercise and Rehabilitation Sciences, University of Hull, Hull, United Kingdom
| | | | - James J. Malone
- School of Health and Sport Sciences, Liverpool Hope University, Liverpool, United Kingdom
| | - Andrew Simpson
- School of Sport, Exercise and Rehabilitation Sciences, University of Hull, Hull, United Kingdom
| | - James Bray
- School of Sport, Exercise and Rehabilitation Sciences, University of Hull, Hull, United Kingdom
| | | | - Tom Nickolay
- School of Sport, Exercise and Rehabilitation Sciences, University of Hull, Hull, United Kingdom
| | - James Metcalfe
- School of Sport, Exercise and Rehabilitation Sciences, University of Hull, Hull, United Kingdom
| | - Chris Towlson
- School of Sport, Exercise and Rehabilitation Sciences, University of Hull, Hull, United Kingdom
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Delves RI, Duthie GM, Ball KA, Aughey RJ. Applying common filtering processes to Global Navigation Satellite System-derived acceleration during team sport locomotion. J Sports Sci 2022; 40:1116-1126. [DOI: 10.1080/02640414.2022.2051332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Robert I.M. Delves
- Institute for Health and Sport, Victoria University, Melbourne, Victoria, Australia
| | - Grant M. Duthie
- School of Behavioural and Health Sciences, Australian Catholic University, Strathfield, NSW, Australia
| | - Kevin A. Ball
- Institute for Health and Sport, Victoria University, Melbourne, Victoria, Australia
| | - Robert J. Aughey
- Institute for Health and Sport, Victoria University, Melbourne, Victoria, Australia
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