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Comparison of mean values and entropy in accelerometry time series from two microtechnology sensors recorded at 100 vs. 1000 Hz during cumulative tackles in young elite rugby league players
Fernández-Valdés, Bruno Jones, Ben Hendricks, Sharief Weaving, Dan Ramirez-Lopez, Carlos Whitehead, Sarah Toro-Román, Víctor Trabucchi, Michela Moras, Gerard
Fernández-Valdés, Bruno
Jones, Ben
Hendricks, Sharief
Weaving, Dan
Ramirez-Lopez, Carlos
Whitehead, Sarah
Toro-Román, Víctor
Trabucchi, Michela
Moras, Gerard
Abstract
Several microtechnology devices quantify the external load of team sports using Global Positioning Systems sampling at 5, 10, or 15 Hz. However, for short, explosive actions, such as collisions, these sample rates may be limiting. It is known that very high-frequency sampling is capable of capturing changes in actions over a short period of time. Therefore, the aim of this study was to compare the mean acceleration and entropy values obtained from 100 Hz and 1000 Hz tri-axial accelerometers in tackling actions performed by rugby players. A total of 11 elite adolescent male rugby league players (mean ± SD; age: 18.5 ± 0.5 years; height: 179.5 ± 5.0 cm; body mass: 88.3 ± 13.0 kg) participate in this study. Participants performed tackles (n = 200), which were recorded using two triaxial accelerometers sampling at 100 Hz and 1000 Hz, respectively. The devices were placed together inside the Lycra vests on the players’ backs. The mean acceleration, sample entropy (SampEn), and approximate entropy (ApEn) were analyzed. In mean acceleration, the 1000 Hz accelerometer obtained greater values (p < 0.05). However, SampEn and ApEn were greater with the 100 Hz accelerometer (p < 0.05). A large relationship was observed between the two devices in all the parameters analyzed (R2 > 0.5; p < 0.0001). Sampling frequency can affect the quality of the data collected, and a higher sampling frequency potentially allows for the collection of more accurate motion data. A frequency of 1000 Hz may be suitable for recording short and explosive actions.
Keywords
frequency, sport technology, rugby, tackle
Date
2024
Type
Journal article
Journal
Sensors
Book
Volume
24
Issue
24
Page Range
Article Number
Article 7910
ACU Department
Collections
Relation URI
Source URL
Event URL
Open Access Status
Published as ‘gold’ (paid) open access
License
CC BY 4.0
File Access
Open
Notes
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article
distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).