Validity of Real-Time Ultra-wideband Global Navigation Satellite System Data Generated by a Wearable Microtechnology Unit

Rich D. Johnston; Adam Hewitt; Grant M. Duthie

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Validity of Real-Time Ultra-wideband Global Navigation Satellite System Data Generated by a Wearable Microtechnology Unit

Rich D. Johnston ; Adam Hewitt ^[1] ; Grant M. Duthie
1. [1] Australian Catholic University
  
  Australian Catholic University
  
  Australia
Localización: Journal of strength and conditioning research: the research journal of the NSCA, ISSN 1064-8011, Vol. 34, Nº. 7, 2020, págs. 2071-2075
Idioma: inglés
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Resumen
- This study aimed to determine the validity of real-time ultra-wideband data generated by a wearable microtechnology unit during rugby league training sessions using a repeated-measures crossover study. Twenty-four semiprofessional rugby league players wore a commercially available microtechnology device (StatSports Apex, Newry, Northern Ireland) during 10 training sessions. Total distance; moderate-speed running (3.6-4.9 m[middle dot]s-1); high-speed running (5.0-6.9 m[middle dot]s-1); very high-speed running (>=7 m[middle dot]s-1); maximum velocity (m[middle dot]s-1); the number of high-intensity accelerations (>=2.78 m[middle dot]s-2) and decelerations (>=-2.78 m[middle dot]s-2); dynamic stress load (AU); and high metabolic load distance (m) were recorded in real time through an Apex beacon over a secured wireless network before being exported to a csv file at the end of the session. The data were then downloaded to a computer after event. To determine the validity of the real-time data, they were compared with the postevent downloaded data using coefficient of variation and Pearson's correlation coefficient. There was almost perfect agreement between real-time and postevent downloaded data for all variables reported. The overall bias effect size scores were all trivial, ranging from 0.00 for total distance and high-speed running up to -0.12 for maximal velocity; Pearson's correlations were either perfect or nearly perfect (r = 0.98-1.00). Irrespective of the movement speed, the data collected by these devices in real time show excellent levels of agreement with postevent downloaded data.