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

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 (<i>n</i> = 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 (<i>p</i> < 0.05). However, SampEn and ApEn were greater with the 100 Hz accelerometer (<i>p</i> < 0.05). A large relationship was observed between the two devices in all the parameters analyzed (R<sup>2</sup> > 0.5; <i>p</i> < 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.

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Publication Details

Journal
Sensors
Published
2024-12-11
DOI
https://doi.org/10.3390/s24247910
Citations
4
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
1.91
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article

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

Dan Weaving, Carlos Ramírez‐López, Víctor Toro-Román, Sarah Whitehead et al.
4 citations
Sensors
Sports Performance and Training
1.91
article

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

Dan Weaving, Carlos Ramírez‐López, Víctor Toro-Román, Sarah Whitehead, Sharief Hendricks, Bruno Fernández-Valdés, Michela Trabucchi, Gerard Moras, Ben Jones
article en
4 citations

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 (<i>n</i> = 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 (<i>p</i> < 0.05). However, SampEn and ApEn were greater with the 100 Hz accelerometer (<i>p</i> < 0.05). A large relationship was observed between the two devices in all the parameters analyzed (R<sup>2</sup> > 0.5; <i>p</i> < 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.

SensorsVol. 24(24)
University of Cape Town (ZA), Edge Hill University (GB), Universitat Pompeu Fabra (ES), The Football Association (GB), Institut Nacional d'Educació Física de Catalunya (ES), Leeds Beckett University (GB), Australian Catholic University (AU), Universitat Politècnica de Catalunya (ES)
Openalex Percentile: Top 14%
Sports Performance and Training
1.91
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