The validity of raw custom-processed global navigation satellite systems data during straight-line sprinting across multiple days.

GPS Monitoring Training Wearable microtechnology Workload

Journal

Journal of science and medicine in sport
ISSN: 1878-1861
Titre abrégé: J Sci Med Sport
Pays: Australia
ID NLM: 9812598

Informations de publication

Date de publication:
18 Dec 2023
Historique:
received: 29 06 2023
revised: 04 12 2023
accepted: 06 12 2023
medline: 10 1 2024
pubmed: 10 1 2024
entrez: 9 1 2024
Statut: aheadofprint

Résumé

(1) Determine the validity of instantaneous speed and acceleration and (2) the variation in validity over time (multiple sessions) for global navigation satellite systems (GNSS) devices. Repeated measures. 10-Hz GNSS devices from Statsports (n = 2, Apex Pro) and Catapult (n = 2, Vector S7) were examined, whilst a speed laser manufactured by MuscleLab (n = 1, LaserSpeed) was the criterion measure, sampling at 2.56 kHz, with data exported at 1000 Hz. Ten participants completed 40 m sprinting and changes of pace on three separate days. Root mean square error (RMSE) was used to assess the magnitude and direction of the difference between GNSS and criterion measures (instantaneous speed, instantaneous acceleration). Linear mixed models were built to assess the difference in validity across days. RMSE ranged from 0.14 to 0.21 m·s Wearable microtechnology devices from Catapult (Vector S7) and Statsports (Apex Pro) have suitable validity when measuring instantaneous speed and acceleration across multiple days. There may be small variations during different sessions and over the speed spectrum.

Identifiants

pubmed: 38195366
pii: S1440-2440(23)00516-9
doi: 10.1016/j.jsams.2023.12.004
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interest statement The authors declare they have no financial or other interest in the products used in this study.

Auteurs

Zachary L Crang (ZL)

School of Behavioural and Health Sciences, Australian Catholic University, Brisbane, QLD, Australia. Electronic address: Zachary.crang@myacu.edu.au.

Grant Duthie (G)

School of Behavioural and Health Sciences, Australian Catholic University, Strathfield, NSW, Australia.

Michael H Cole (MH)

School of Behavioural and Health Sciences, Australian Catholic University, Brisbane, QLD, Australia.

Jonathon Weakley (J)

School of Behavioural and Health Sciences, Australian Catholic University, Brisbane, QLD, Australia; Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Brisbane, QLD, Australia; Carnegie Applied Rugby Research (CARR) Centre, School of Sport, Leeds Beckett University, Leeds, United Kingdom.

Adam Hewitt (A)

School of Behavioural and Health Sciences, Australian Catholic University, Brisbane, QLD, Australia.

Rich D Johnston (RD)

School of Behavioural and Health Sciences, Australian Catholic University, Brisbane, QLD, Australia; Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Brisbane, QLD, Australia; Carnegie Applied Rugby Research (CARR) Centre, School of Sport, Leeds Beckett University, Leeds, United Kingdom.

Classifications MeSH