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Search Results - Entropy

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  1. 1

    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, B., Jones, B., Hendricks, S., Weaving, D., Ramirez-Lopez, C., Whitehead, S., Toro-Román, V., Trabucchi, M., Moras, G.
    Published in Sensors (2024)
    “…Vergleich der Mittelwerte und der Entropie in Beschleunigungszeitreihen von zwei mikrotechnischen Sensoren, die bei 100 bzw. 1000 Hz während kumulativer Tackles bei jungen Elite-Rugbyspielern aufgezeichnet wurden…”
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  2. 2

    Designing a small-sided game to elicit attacking tactical behaviour in professional rugby union forwards

    Zanin, M., Azzalini, A., Ranaweera, J., Till, K., Darrall-Jones, J., Roe, G.
    Published in Journal of Sports Sciences (2022)
    “…., regularity of attacking shape [entropy]), and technical (e.g., passes) and physical (e.g., total distance) characteristics were quantified. …”
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  3. 3

    A novel application of entropy analysis for assessing changes in movement variability during cumulative tackles in young elite rugby league players

    Fernández-Valdés, B., Jones, B., Hendricks, S., Weaving, D., Ramirez-Lopez, C., Whitehead, S., González, J., Gisbert-Orozco, J., Trabucchi, M., Moras, G.
    Published in Biology of Sport (2023)
    “…The acceleration data were used to calculate sample entropy (SampEn) to analyse the movement variability during tackles performance. …”
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  4. 4

    Concussion history and balance performance in adolescent rugby union players

    Matthews, M., Johnston, W., Bleakley, C. M., Davies, R. J., Rankin, A. T., Webb, M., Caulfield, B. C., Archbold, H. A. P.
    Published in The American Journal of Sports Medicine (2021)
    “…Dependent variables were normalized reach distance and the sample entropy (SEn) of the 3 axes (x, y, and z). Results: Of the 195 participants, 100 reported a history of concussion. …”
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  5. 5

    Functional variability in team-handball players during balance is revealed by non-linear measures and is related to age and expertise level

    Caballero, C., Barbado, D., Urbán, T., García-Herrero, J. A., Moreno, F. J.
    Published in Entropy (2020)
    “…Entropy…”
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  6. 6

    Model-based behavioral causality analysis of handball with delayed transfer entropy

    Itoda, K., Watanabe, N., Takefuji, Y.
    Published in Procedia - Computer Science (2015)
    “…We focus on handball as an example of goal-type ball games and analyze causality between teammates` behaviors from tracking data with Hidden Semi-Markov Model (HSMM) and delayed Transfer Entropy (dTE). Although `off-the-ball` behaviors are a crucial component of cooperation, most research tends to focus on `on-the-ball` behaviors, and relations of behaviors are only known as tacit knowledge of coaches or players. …”
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  7. 7

    A change point approach to analysing the match activity profiles of team-sport athletes

    Corbett, D. M., Sweeting, A. J., Robertson, S.
    Published in Journal of Sports Sciences (2019)
    “…The strongest classification features in the model were spectral entropy and skewness. Offensive and defensive involvements were the weakest features for classification, suggesting skilled output is dependent on match circumstances. …”
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  8. 8

    Perceptual-cognitive expertise when refereeing the scrum in rugby union

    Moore, L. J., Harris, D. J., Sharpe, B. T., Vine, S. J., Wilson, M. R.
    Published in Journal of Sports Sciences (2019)
    “…., other) locations, and exhibited lower entropy than the players. While search rate failed to predict decision-making accuracy, the time spent fixating central-, outer-, and non-pack locations, as well as entropy, were significant predictors. …”
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  9. 9

    Analysis of defensive game situations in team handball by means of artificial neural networks

    Schrapf, N., Rudelsdorfer, P., Tilp, M.
    Published in 19th Annual Congress of the European College of Sport Science (ECSS), Amsterdam, 2. - 5. July 2014 (2014)
    “…In order to obtain suitable entropy, data was enlarged by multiplication to a quantity of 7280 datasets with a noise of 5% and subsequently permutated to minimize unwanted learning effects due to duplication. …”
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  10. 10

    In search of dynamical patterns of team tactical behaviours during competitive football performance

    Duarte, R., Araújo, D., Davids, K., Folgado, H., Marques, P., Ferreira, A.
    Published in 7th World Congress on Science and Football (WCSF), 2011 (2011)
    “…We also calculated approximate entropy (ApEn) values for these variables to identify changes in regularity/predictability of playing patterns across the match. …”
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  11. 11

    Persistent motor system abnormalities in formerly concussed athletes

    de Beaumont, L., Mongeon, D., Tremblay, S., Messier, J., Prince, F., Leclerc, S., Lassonde, M., Théoret, H.
    Published in Journal of Athletic Training (2011)
    “…Intervention(s): A force platform was used to assess centerof-pressure (COP) displacement and COP oscillation regularity (approximate entropy) as measures of postural stability in the upright position. …”
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