Literature DB >> 27736256

Validity of 10-HZ GPS and Timing Gates for Assessing Maximum Velocity in Professional Rugby Union Players.

Gregory Roe, Joshua Darrall-Jones, Christopher Black, William Shaw, Kevin Till, Ben Jones.   

Abstract

PURPOSE: The purpose of this study was to investigate the validity of timing gates and 10-Hz global positioning systems (GPS) units (Catapult Optimeye S5) against a criterion measure (50-Hz radar gun) for assessing maximum sprint velocity (Vmax).
METHODS: Nine male professional rugby union players performed 3 maximal 40-m sprints with 3 min rest between efforts with Vmax assessed simultaneously via timing gates, 10-Hz GPSOpen (Openfield software), GPSSprint (Sprint software), and radar gun. Eight players wore 3 GPS units, while 1 wore a single unit during each sprint.
RESULTS: When compared with the radar gun, mean biases for GPSOpen, GPSSprint, and timing gates were trivial, small, and small, respectively. The typical error of the estimate (TEE) was small for timing gate and GPSOpen while moderate for GPSSprint. Correlations with radar gun were nearly perfect for all measures. Mean bias, TEE, and correlations between GPS units were trivial, small, and nearly perfect, respectively, while a small TEE existed when GPSOpenfield was compared with GPSSprint.
CONCLUSION: Based on these findings, both 10-Hz GPS and timing gates provide valid measures of 40-m Vmax assessment compared with a radar gun. However, as error did exist between measures, the same testing protocol should be used when assessing 40-m Vmax over time. Furthermore, in light of the above results, it is recommended that when assessing changes in GPS-derived Vmax over time, practitioners should use the same unit for each player and perform the analysis with the same software, preferably Catapult Openfield.

Entities:  

Keywords:  assessment; monitoring; speed

Mesh:

Year:  2016        PMID: 27736256     DOI: 10.1123/ijspp.2016-0256

Source DB:  PubMed          Journal:  Int J Sports Physiol Perform        ISSN: 1555-0265            Impact factor:   4.010


  15 in total

1.  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

Review 2.  Validation methods for global and local positioning-based athlete monitoring systems in team sports: a scoping review.

Authors:  Live Steinnes Luteberget; Matthias Gilgien
Journal:  BMJ Open Sport Exerc Med       Date:  2020-08-24

3.  The Case for Adopting a Multivariate Approach to Optimize Training Load Quantification in Team Sports.

Authors:  Dan Weaving; Ben Jones; Kevin Till; Grant Abt; Clive Beggs
Journal:  Front Physiol       Date:  2017-12-12       Impact factor: 4.566

4.  A Low-Glycemic Index, High-Fiber, Pulse-Based Diet Improves Lipid Profile, but Does Not Affect Performance in Soccer Players.

Authors:  Eliran Mizelman; Philip D Chilibeck; Abdul Hanifi; Mojtaba Kaviani; Eric Brenna; Gordon A Zello
Journal:  Nutrients       Date:  2020-05-06       Impact factor: 5.717

5.  Validation of Wearable Sensors during Team Sport-Specific Movements in Indoor Environments.

Authors:  Mareike Roell; Hubert Mahler; Johannes Lienhard; Dominic Gehring; Albert Gollhofer; Kai Roecker
Journal:  Sensors (Basel)       Date:  2019-08-07       Impact factor: 3.576

6.  The inter-unit and inter-model reliability of GNSS STATSports Apex and Viper units in measuring peak speed over 5, 10, 15, 20 and 30 meters.

Authors:  Marco Beato; Kevin L de Keijzer
Journal:  Biol Sport       Date:  2019-10-10       Impact factor: 2.806

7.  Selecting Training-Load Measures to Explain Variability in Football Training Games.

Authors:  Unai Zurutuza; Julen Castellano; Ibon Echeazarra; Ibai Guridi; David Casamichana
Journal:  Front Psychol       Date:  2020-01-24

8.  Recommendations for Assessment of the Reliability, Sensitivity, and Validity of Data Provided by Wearable Sensors Designed for Monitoring Physical Activity.

Authors:  Peter Düking; Franz Konstantin Fuss; Hans-Christer Holmberg; Billy Sperlich
Journal:  JMIR Mhealth Uhealth       Date:  2018-04-30       Impact factor: 4.773

9.  The Validity and Between-Unit Variability of GNSS Units (STATSports Apex 10 and 18 Hz) for Measuring Distance and Peak Speed in Team Sports.

Authors:  Marco Beato; Giuseppe Coratella; Adam Stiff; Antonio Dello Iacono
Journal:  Front Physiol       Date:  2018-09-21       Impact factor: 4.566

10.  A match-day analysis of the movement profiles of substitutes from a professional soccer club before and after pitch-entry.

Authors:  Samuel P Hills; Steve Barrett; Richard G Feltbower; Martin J Barwood; Jon N Radcliffe; Carlton B Cooke; Liam P Kilduff; Christian J Cook; Mark Russell
Journal:  PLoS One       Date:  2019-01-31       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.