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Ellens S, Carey DL, Gastin PB, Varley MC. Effect of Data-Processing Methods on Acceleration Summary Metrics of GNSS Devices in Elite Australian Football. SENSORS (BASEL, SWITZERLAND) 2024; 24:4383. [PMID: 39001161 PMCID: PMC11244311 DOI: 10.3390/s24134383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 06/28/2024] [Accepted: 07/02/2024] [Indexed: 07/16/2024]
Abstract
This study aimed to measure the differences in commonly used summary acceleration metrics during elite Australian football games under three different data processing protocols (raw, custom-processed, manufacturer-processed). Estimates of distance, speed and acceleration were collected with a 10-Hz GNSS tracking technology device from fourteen matches of 38 elite Australian football players from one team. Raw and manufacturer-processed data were exported from respective proprietary software and two common summary acceleration metrics (number of efforts and distance within medium/high-intensity zone) were calculated for the three processing methods. To estimate the effect of the three different data processing methods on the summary metrics, linear mixed models were used. The main findings demonstrated that there were substantial differences between the three processing methods; the manufacturer-processed acceleration data had the lowest reported distance (up to 184 times lower) and efforts (up to 89 times lower), followed by the custom-processed distance (up to 3.3 times lower) and efforts (up to 4.3 times lower), where raw data had the highest reported distance and efforts. The results indicated that different processing methods changed the metric output and in turn alters the quantification of the demands of a sport (volume, intensity and frequency of the metrics). Coaches, practitioners and researchers need to understand that various processing methods alter the summary metrics of acceleration data. By being informed about how these metrics are affected by processing methods, they can better interpret the data available and effectively tailor their training programs to match the demands of competition.
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Affiliation(s)
| | | | | | - Matthew C. Varley
- Sport, Performance, and Nutrition Research Group, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne 3000, Australia; (S.E.); (D.L.C.); (P.B.G.)
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Sousa H, Clemente FM, Sarmento H, Gouveia ÉR, Musa RM. Comparing locomotor intensity indicators in soccer training and competition across contextual factors: a study of replaced coaches in a Portuguese professional 1st league team. Front Sports Act Living 2024; 6:1391784. [PMID: 38854423 PMCID: PMC11157433 DOI: 10.3389/fspor.2024.1391784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 05/10/2024] [Indexed: 06/11/2024] Open
Abstract
This study aims to examine, for each head coach (HC) replaced, the association between training intensity and physical performances obtained in games. Furthermore, the study investigated how contextual factors influence locomotor and mechanical performance association. External load variables were collected using Global Positioning System (GPS) devices across the 4 weeks and 4 games before and after the replacement in a professional adult male soccer team. Six different HC records were analysed (48.8 ± 7.4 years of age; 11.2 ± 3.9 years as an HC) during a three-season span (2020/21-2022/2023). There were marked differences within player variability across the two coaching regimes. Game loads didn't reflect training-related performance, with differences ranging from -71.4% to -9.9%. Players under the outgoing coaches have greater coverage of meters per minute. Meters per minute, distance covered over 18 km/h and high-speed running (all in training) are found to be significant variables influenced by contextual factors. Within-subject and time, training loads did not reflect game-related loads/performances, with starters showing higher deficits (ranging from -79.0 to -14.5). The study suggests that changes in soccer HC can affect players' training intensity and game performance, influenced by various contextual factors and not directly correlated. This type of information might be very suitable to improve training load periodization and programming. For further research avenues, could be the study of the variation of the psychological states of the players at the time of the dismissal and hiring of the HCs, associating them with the physiological performance at the same moments.
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Affiliation(s)
- Honorato Sousa
- Research Unit for Sport and Physical Activity, Faculty of Sport Sciences and Physical Education, University of Coimbra, Coimbra, Portugal
| | - Filipe Manuel Clemente
- Escola Superior Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Álvares, Viana do Castelo, Portugal
- Sport Physical Activity and Health Research & Innovation Center, Viana do Castelo, Portugal
- Gdansk University of Physical Education and Sport, Gdańsk, Poland
| | - Hugo Sarmento
- Research Unit for Sport and Physical Activity, Faculty of Sport Sciences and Physical Education, University of Coimbra, Coimbra, Portugal
| | - Élvio R. Gouveia
- LARSyS, Interactive Technologies Institute, Funchal, Portugal
- Department of Physical Education and Sport, University of Madeira, Funchal, Portugal
| | - Rabiu Muazu Musa
- Centre for Fundamental and Continuing Education, Universiti Malaysia Terengganu, Kuala Nerus, Malaysia
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Brosnan RJ, Visentin D, Watson G, Twentyman C, Stuart W, Schmidt M. Match-play movement demands of international and domestic women's rugby sevens players in an elite dual-level tournament. SCI MED FOOTBALL 2024; 8:84-93. [PMID: 36449350 DOI: 10.1080/24733938.2022.2153157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/24/2022] [Indexed: 12/05/2022]
Abstract
OBJECTIVES To characterize and compare match-play movement demands via Global Positioning Systems (GPS) between international and domestic women's rugby sevens players performing in a novel elite dual-level tournament, with consideration to position and tournament characteristics. DESIGN Fifty-four rugby sevens players; twenty-one international(5 speed edges, 8 backs, 8 forwards), and thirty-three domestic(10 speed edges, 11 backs, 12 forwards) wore GPS devices during an elite dual-level tournament covering 2 seasons, with 367 full match-play data files analysed. Internationaland domestic players were distributed evenly between competing teams. METHODS Match-play movement demands were characterized by distance, speed, and acceleration-based indices from 5 to 10 Hz GPS devices. RESULTS International players recorded significantly higher high-intensity match-play movement demands compared to domestic players in distance in high and very high-speed zones (P = 0.01, P = 0.03, P = 0.01, P = 0.03), maximal acceleration (P = 0.001), maximal velocity (P < .001), speed exertion (P = 0.01), , and acceleration load density (P = 0.03) . Positional analysis demonstrated forwards displayed the largest significant differences between international and domestic players. . Total and relative match-play movement demands of the dual-leveltournament also showed comparable demands to previous international tournament research . CONCLUSIONS Results identify key points of difference in match-play movement demands between player levels in women's rugby sevens, and provides important information on the characteristics of playing positions, and of a dual-level tournament of this nature. This will improve the design and implementation of structures from domestic to international level.
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Affiliation(s)
- Ross J Brosnan
- Sports and Performance Optimisation Research Team; University of Tasmania, Tasmania, Australia
- School of Health Sciences, University of Tasmania, Tasmania, Australia
| | - Denis Visentin
- School of Health Sciences, University of Tasmania, Tasmania, Australia
| | - Greig Watson
- Sports and Performance Optimisation Research Team; University of Tasmania, Tasmania, Australia
- School of Health Sciences, University of Tasmania, Tasmania, Australia
| | - Craig Twentyman
- New Zealand Warriors, National Rugby League, Auckland, New Zealand
| | - Will Stuart
- Australian Rugby Football Union, NSW, Sydney, Australia
| | - Matthew Schmidt
- Sports and Performance Optimisation Research Team; University of Tasmania, Tasmania, Australia
- School of Health Sciences, University of Tasmania, Tasmania, Australia
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Medbø JI, Ylvisåker E. Examination of the ZXY Arena Tracking System for Association Football Pitches. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23063179. [PMID: 36991890 PMCID: PMC10056700 DOI: 10.3390/s23063179] [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: 01/30/2023] [Revised: 03/13/2023] [Accepted: 03/13/2023] [Indexed: 05/21/2023]
Abstract
Modern analyses of football games require precise recordings of positions and movements. The ZXY arena tracking system reports the position of players wearing a dedicated chip (transponder) at high time resolution. The main issue addressed here is the quality of the system's output data. Filtering the data to reduce noise may affect the outcome adversely. Therefore, we have examined the precision of the data given, possible influence by sources of noise, the effect of the filtering, and the accuracy of the built-in calculations. The system's reported positions of the transponders at rest and during different types of movements, including accelerations, were recorded and compared with the true positions, speeds, and accelerations. The reported position has a random error of ≈0.2 m, defining the system's upper spatial resolution. The error in signals interrupted by a human body was of that magnitude or less. There was no significant influence of nearby transponders. Filtering the data delayed the time resolution. Consequently, accelerations were dampened and delayed, causing an error of 1 m for sudden changes in position. Moreover, fluctuations of the foot speed of a running person were not accurately reproduced, but rather, averaged over time periods >1 s. Results calculated from measured values appeared accurate and were readily reproduced in a spreadsheet output. In conclusion, the ZXY system reports the position with little random error. Its main limitation is caused by averaging of the signals.
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Seshadri DR, Harlow ER, Thom ML, Emery MS, Phelan DM, Hsu JJ, Düking P, De Mey K, Sheehan J, Geletka B, Flannery R, Calcei JG, Karns M, Salata MJ, Gabbett TJ, Voos JE. Wearable technology in the sports medicine clinic to guide the return-to-play and performance protocols of athletes following a COVID-19 diagnosis. Digit Health 2023; 9:20552076231177498. [PMID: 37434736 PMCID: PMC10331194 DOI: 10.1177/20552076231177498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Accepted: 05/06/2023] [Indexed: 07/13/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has enabled the adoption of digital health platforms for self-monitoring and diagnosis. Notably, the pandemic has had profound effects on athletes and their ability to train and compete. Sporting organizations worldwide have reported a significant increase in injuries manifesting from changes in training regimens and match schedules resulting from extended quarantines. While current literature focuses on the use of wearable technology to monitor athlete workloads to guide training, there is a lack of literature suggesting how such technology can mediate the return to sport processes of athletes infected with COVID-19. This paper bridges this gap by providing recommendations to guide team physicians and athletic trainers on the utility of wearable technology for improving the well-being of athletes who may be asymptomatic, symptomatic, or tested negative but have had to quarantine due to a close exposure. We start by describing the physiologic changes that occur in athletes infected with COVID-19 with extended deconditioning from a musculoskeletal, psychological, cardiopulmonary, and thermoregulatory standpoint and review the evidence on how these athletes may safely return to play. We highlight opportunities for wearable technology to aid in the return-to-play process by offering a list of key parameters pertinent to the athlete affected by COVID-19. This paper provides the athletic community with a greater understanding of how wearable technology can be implemented in the rehabilitation process of these athletes and spurs opportunities for further innovations in wearables, digital health, and sports medicine to reduce injury burden in athletes of all ages.
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Affiliation(s)
- Dhruv R Seshadri
- University Hospitals Sports Medicine Institute, Cleveland, OH, USA
| | - Ethan R Harlow
- University Hospitals Sports Medicine Institute, Cleveland, OH, USA
- Department of Orthopaedic Surgery, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Mitchell L Thom
- University Hospitals Sports Medicine Institute, Cleveland, OH, USA
- Department of Orthopaedic Surgery, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Michael S Emery
- Sports Cardiology Center, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Dermot M Phelan
- Sanger Heart and Vascular Institute, Atrium Health, Charlotte, NC, USA
| | - Jeffrey J Hsu
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Peter Düking
- Integrative and Experimental Exercise Science, Department of Sport Science, University of Würzburg, Würzburg, Germany
| | | | | | - Benjamin Geletka
- University Hospitals Sports Medicine Institute, Cleveland, OH, USA
- Department of Orthopaedic Surgery, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
- University Hospitals Rehabilitation Services and Sports Medicine, Cleveland, OH, USA
| | - Robert Flannery
- University Hospitals Sports Medicine Institute, Cleveland, OH, USA
- Department of Orthopaedic Surgery, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Jacob G Calcei
- University Hospitals Sports Medicine Institute, Cleveland, OH, USA
- Department of Orthopaedic Surgery, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Michael Karns
- University Hospitals Sports Medicine Institute, Cleveland, OH, USA
- Department of Orthopaedic Surgery, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Michael J Salata
- University Hospitals Sports Medicine Institute, Cleveland, OH, USA
- Department of Orthopaedic Surgery, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Tim J Gabbett
- Gabbett Performance Solutions, Brisbane, Australia
- Centre for Health Research, University of Southern Queensland, Ipswich, Australia
- School of Science, Psychology and Sport, Federation University, Ballarat, Australia
| | - James E Voos
- University Hospitals Sports Medicine Institute, Cleveland, OH, USA
- Department of Orthopaedic Surgery, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
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