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  1. 1

    Künstliche Intelligenz und maschinelles Lernen in der Sportwissenschaft (Artificial intelligence and machine learning in sports science)

    D. Memmert
    Published 2025
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  2. 2

    Instrumented mouthguards in men's rugby league: quantifying the incidence and probability of head acceleration events at a group and individual level

    Tooby, J., Owen, C., Sawczuk, T., Roe, G., Till, K., Phillips, G., Vishnubala, D., White, R., Rowson, S., Tucker, R., Tierney, G., Jones, B.
    Published in Sports Medicine (2025)
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  3. 3

    Evaluating the probability of head acceleration events in elite men's and women's rugby union match-play: the impact of tackle height and body position

    Owen, C., Roe, G., Tooby, J., Sawczuk, T., Brown, J., Cross, M., Falvey, É., Hendricks, S., Kemp, S., Starling, L., Stokes, K., Tucker, R., Jones, B.
    Published in Sports Medicine (2025)
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  4. 4

    Unlocking the impact: a systematic review and meta-analysis of biomechanical insights into rugby head impacts using wearable sensor technology

    De Sousa-De Sousa, L., Espinosa, H. G., Maté-Muñoz, J. L., Murias-Lozano, R., Iglesias Muñiz, M., San Sebastián Obregón, F. J., Solís-Mencía, C., García-Fernández, P.
    Published in Sports Medicine (2025)
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  5. 5

    Discriminant analysis of physical performance variability in European international Tier 2 rugby union: insights from location-based GPS analysis

    Lino-Samaniego, A., Calleja-González, J., Martín-Castellanos, A., Guerrero-Esteban, S., Roman, I. R., Solana, D. M.
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  6. 6

    Agility in handball: Position- and age-specific insights in performance and kinematics using proximity and wearable inertial sensors

    Heuvelmans, P., Gokeler, A., Benjaminse, A., Baumeister, J., Büchel, D.
    Published in Sensors (2025)
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  7. 7

    Understanding acceleration-based load metrics: from concepts to implementation

    Freitas, J., Moreira, A., Carvalho, J., Conceição, F., Estriga, L.
    Published in Sensors (2025)
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  8. 8

    A comparison of the most intense periods (MIPs) during competitive matches and training over an 8-week period in a male elite field hockey team

    Büchel, D., Döring, M., Baumeister, J.
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  9. 9

    Assessing head acceleration events in female community rugby union players: a cohort study using instrumented mouthguards

    Bussey, M. D., Salmon, D., Nanai, B., Romanchuk, J., Gomez, R. M., Tong, D., Sole, G., Tucker, R., Falvey, É.
    Published in Sports Medicine (2025)
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  10. 10

    Automated detection of change of direction in basketball players using xsens motion tracking

    Pinelli, S., Zinno, R., Jòdar-Portas, A., Prats-Puig, A., Font-Lladó, R., Bragonzoni, L.
    Published in Sensors (2025)
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  11. 11

    Are fluctuations in physical performance affected by contextual fafctors in women`s handball matches? An analysis using five-minute fixed phases

    García-Sánchez, C., Navarro, R. M., Nieto-Acevedo, R., de la Rubia, A.
    Published in Biology of Sport (2025)
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  12. 12

    Mobile anthropometry in Division I baseball athletes: evaluation of an existing application and the development of new equations

    Haynes, H., Tinsley, G. M., Swafford, S. H., Compton, A. T., Moore, J., Donahue, P. T., Graybeal, A. J.
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  13. 13

    Action recognition in basketball with inertial measurement unit-supported vest

    Sonalcan, H., Bilen, E., Ates, B., Seçkin, A. Ç.
    Published in Sensors (2025)
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  14. 14

    High-intensity running during international male field hockey involves frequent changes of direction and repeated accelerations but seldom reaches sprint velocities

    Goods, P. S. R., Appleby, B., Scott, B. R., Peeling, P., Galna, B.
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  15. 15

    Relationship between physical demands and player performance in professional female basketball players using inertial movement units

    Espasa-Labrador, J., Martínez-Rubio, C., Oliva-Lozano, J. M., Calleja-González, J., Carrasco-Marginet, M., Fort-Vanmeerhaeghe, A.
    Published in Sensors (2024)
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  16. 16

    About the predictive value of a 3D multiple object tracking device for talent identification in elite ice hockey players

    Tétreault, É., Fortin-Guichard, D., McArthur, J., Vigneault, A., Grondin, S.
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  17. 17

    Identifying key training load and intensity indicators in ice hockey using unsupervised machine learning

    Rago, V., Fernandes, T., Mohr, M.
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  18. 18

    Characterization of running intensity in Canadian football based on tactical position

    Zafar, A., Guay, S., Vinet, S.-A., Apinis-Deshaies, A., Creniault, R., Martens, G., Prince, F., De Beaumont, L.
    Published in Sensors (2024)
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  19. 19

    Smart textile impact sensor for e-helmet to measure head injury

    Saikia, M. J., Alkhader, A. S.
    Published in Sensors (2024)
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  20. 20

    The effect of daily heart rate workloads on preseason, midseason, and postseason oxygen consumption in division I basketball

    Howard, M., Sanders, G. J., Kollock, R. O., Peacock, C. A., Freire, R.
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