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The validity of raw custom-processed global navigation satellite systems data during straight-line sprinting across multiple days
Crang, Zachary Duthie, Grant Malcolm Cole, Michael Hugh Weakley, Jonathon Hewitt, Adam Jason Johnston, Richard
Crang, Zachary
Duthie, Grant Malcolm
Cole, Michael Hugh
Weakley, Jonathon
Hewitt, Adam Jason
Johnston, Richard
Abstract
Objectives
(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.
Design
Repeated measures.
Methods
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.
Results
RMSE ranged from 0.14 to 0.21 m·s−1 and 0.22 to 0.47 m·s−2 for speed and acceleration, respectively showing strong agreement. There were small variations in the agreement to criterion between days for both devices for speed (Catapult RMSE = 0.12 to 21 m·s−1; Statsports RMSE = 0.14 to 0.17 m·s−1) and for acceleration (Catapult RMSE = 0.26 to 0.47 m·s−2; Statsports RMSE = 0.22 to 0.43 m·s−2) across all movements. There was a negative linear relationship between speed and acceleration error as speed increased.
Conclusions
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.
Keywords
wearable microtechnology, training, workload, GPS, monitoring
Date
2024
Type
Journal article
Journal
Book
Volume
27
Issue
3
Page Range
204-210
Article Number
ACU Department
School of Behavioural and Health Sciences
Faculty of Health Sciences
Faculty of Health Sciences
Relation URI
Event URL
Open Access Status
Published as ‘gold’ (paid) open access
License
CC BY 4.0
File Access
Open
Notes
© 2023 The Authors. Published by Elsevier Ltd on behalf of Sports Medicine Australia
This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).