Literature DB >> 23812857

Global positioning systems (GPS) and microtechnology sensors in team sports: a systematic review.

Cloe Cummins1, Rhonda Orr, Helen O'Connor, Cameron West.   

Abstract

BACKGROUND: Use of Global positioning system (GPS) technology in team sport permits measurement of player position, velocity, and movement patterns. GPS provides scope for better understanding of the specific and positional physiological demands of team sport and can be used to design training programs that adequately prepare athletes for competition with the aim of optimizing on-field performance.
OBJECTIVE: The objective of this study was to conduct a systematic review of the depth and scope of reported GPS and microtechnology measures used within individual sports in order to present the contemporary and emerging themes of GPS application within team sports.
METHODS: A systematic review of the application of GPS technology in team sports was conducted. We systematically searched electronic databases from earliest record to June 2012. Permutations of key words included GPS; male and female; age 12-50 years; able-bodied; and recreational to elite competitive team sports.
RESULTS: The 35 manuscripts meeting the eligibility criteria included 1,276 participants (age 11.2-31.5 years; 95 % males; 53.8 % elite adult athletes). The majority of manuscripts reported on GPS use in various football codes: Australian football league (AFL; n = 8), soccer (n = 7), rugby union (n = 6), and rugby league (n = 6), with limited representation in other team sports: cricket (n = 3), hockey (n = 3), lacrosse (n = 1), and netball (n = 1). Of the included manuscripts, 34 (97 %) detailed work rate patterns such as distance, relative distance, speed, and accelerations, with only five (14.3 %) reporting on impact variables. Activity profiles characterizing positional play and competitive levels were also described. Work rate patterns were typically categorized into six speed zones, ranging from 0 to 36.0 km·h⁻¹, with descriptors ranging from walking to sprinting used to identify the type of activity mainly performed in each zone. With the exception of cricket, no standardized speed zones or definitions were observed within or between sports. Furthermore, speed zone criteria often varied widely within (e.g. zone 3 of AFL ranged from 7 to 16 km·h⁻¹) and between sports (e.g. zone 3 of soccer ranged from 3.0 to <13 km·h⁻¹ code). Activity descriptors for a zone also varied widely between sports (e.g. zone 4 definitions ranged from jog, run, high velocity, to high-intensity run). Most manuscripts focused on the demands of higher intensity efforts (running and sprint) required by players. Body loads and impacts, also summarized into six zones, showed small variations in descriptions, with zone criteria based upon grading systems provided by GPS manufacturers.
CONCLUSION: This systematic review highlights that GPS technology has been used more often across a range of football codes than across other team sports. Work rate pattern activities are most often reported, whilst impact data, which require the use of microtechnology sensors such as accelerometers, are least reported. There is a lack of consistency in the definition of speed zones and activity descriptors, both within and across team sports, thus underscoring the difficulties encountered in meaningful comparisons of the physiological demands both within and between team sports. A consensus on definitions of speed zones and activity descriptors within sports would facilitate direct comparison of the demands within the same sport. Meta-analysis from systematic review would also be supported. Standardization of speed zones between sports may not be feasible due to disparities in work rate pattern activities.

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Year:  2013        PMID: 23812857     DOI: 10.1007/s40279-013-0069-2

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.136


  56 in total

1.  Validity and reliability of GPS for measuring instantaneous velocity during acceleration, deceleration, and constant motion.

Authors:  Matthew C Varley; Ian H Fairweather; Robert J Aughey
Journal:  J Sports Sci       Date:  2011-11-29       Impact factor: 3.337

2.  Validity and reliability of GPS for measuring distance travelled in field-based team sports.

Authors:  Adrian J Gray; David Jenkins; Mark H Andrews; Dennis R Taaffe; Megan L Glover
Journal:  J Sports Sci       Date:  2010-10       Impact factor: 3.337

3.  Variability of acute physiological responses and performance profiles of youth soccer players in small-sided games.

Authors:  Stephen Hill-Haas; Aaron Coutts; Greg Rowsell; Brian Dawson
Journal:  J Sci Med Sport       Date:  2007-09-06       Impact factor: 4.319

4.  Movement patterns in cricket vary by both position and game format.

Authors:  Carl J Petersen; David Pyne; Brian Dawson; Marc Portus; Aaron Kellett
Journal:  J Sports Sci       Date:  2010-01       Impact factor: 3.337

5.  Quantifying movement demands of AFL football using GPS tracking.

Authors:  Ben Wisbey; Paul G Montgomery; David B Pyne; Ben Rattray
Journal:  J Sci Med Sport       Date:  2009-11-07       Impact factor: 4.319

6.  The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions.

Authors:  S H Downs; N Black
Journal:  J Epidemiol Community Health       Date:  1998-06       Impact factor: 3.710

7.  Physical demands of professional rugby league training and competition using microtechnology.

Authors:  Tim J Gabbett; David G Jenkins; Bruce Abernethy
Journal:  J Sci Med Sport       Date:  2011-08-05       Impact factor: 4.319

8.  Biochemical and endocrine responses to impact and collision during elite Rugby League match play.

Authors:  Christopher P McLellan; Dale I Lovell; Gregory C Gass
Journal:  J Strength Cond Res       Date:  2011-06       Impact factor: 3.775

9.  An evaluation of the external validity and reliability of a rugby league match simulation protocol.

Authors:  Dave Sykes; Ceri Nicholas; Kevin Lamb; Craig Twist
Journal:  J Sports Sci       Date:  2012-09-04       Impact factor: 3.337

10.  Cocontraction in three age groups of children during treadmill locomotion.

Authors:  G Frost; J Dowling; K Dyson; O Bar-Or
Journal:  J Electromyogr Kinesiol       Date:  1997-09       Impact factor: 2.368

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  109 in total

Review 1.  Application of Global Positioning System and Microsensor Technology in Competitive Rugby League Match-Play: A Systematic Review and Meta-analysis.

Authors:  Joanne Hausler; Mark Halaki; Rhonda Orr
Journal:  Sports Med       Date:  2016-04       Impact factor: 11.136

Review 2.  Gold Standard or Fool's Gold? The Efficacy of Displacement Variables as Indicators of Energy Expenditure in Team Sports.

Authors:  Ted Polglaze; Brian Dawson; Peter Peeling
Journal:  Sports Med       Date:  2016-05       Impact factor: 11.136

3.  Movement Demands and Injury Characteristics in Under-20-Years University Rugby Union Players.

Authors:  Shane Ball; Mark Halaki; Rhonda Orr
Journal:  J Athl Train       Date:  2020-03-11       Impact factor: 2.860

Review 4.  The Use of Wearable Microsensors to Quantify Sport-Specific Movements.

Authors:  Ryan Chambers; Tim J Gabbett; Michael H Cole; Adam Beard
Journal:  Sports Med       Date:  2015-07       Impact factor: 11.136

5.  The Validity and Reliability of Wearable Microtechnology for Intermittent Team Sports: A Systematic Review.

Authors:  Zachary L Crang; Grant Duthie; Michael H Cole; Jonathon Weakley; Adam Hewitt; Rich D Johnston
Journal:  Sports Med       Date:  2020-12-24       Impact factor: 11.136

6.  Quantifying the Activity Profile of Female Beach Volleyball Tournament Match-Play.

Authors:  Phillip M Bellinger; Timothy Newans; Mitchell Whalen; Clare Minahan
Journal:  J Sports Sci Med       Date:  2021-03-01       Impact factor: 2.988

7.  Training Load Monitoring in Team Sports: A Novel Framework Separating Physiological and Biomechanical Load-Adaptation Pathways.

Authors:  Jos Vanrenterghem; Niels Jensby Nedergaard; Mark A Robinson; Barry Drust
Journal:  Sports Med       Date:  2017-11       Impact factor: 11.136

8.  The Use of Generic and Individual Speed Thresholds for Assessing the Competitive Demands of Field Hockey.

Authors:  David Casamichana; Esther Morencos; Blanca Romero-Moraleda; Tim J Gabbett
Journal:  J Sports Sci Med       Date:  2018-08-14       Impact factor: 2.988

9.  Accelerometer Load Profiles for Basketball-Specific Drills in Elite Players.

Authors:  Xavi Schelling; Lorena Torres
Journal:  J Sports Sci Med       Date:  2016-12-01       Impact factor: 2.988

Review 10.  Applied sport science of rugby league.

Authors:  Rich D Johnston; Tim J Gabbett; David G Jenkins
Journal:  Sports Med       Date:  2014-08       Impact factor: 11.136

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