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  1. 1

    VO2FITTING software: New insights and practical applications (VO2FITTING software update)

    Monteiro, A. S. M., Azevedo, R. M. S., Zacca, R., Ogonowska-Slodownik, A., Buzzachera, C. F., Vilas-Boas, J. P., Fernandes, R. J.
    Published in Journal of Human Kinetics (2025)
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  2. 2

    The evolution of sprinting performance: Technological and regulatory influences from 1976 to 2024

    Skalski, D. T., Pronczuk, M., Losinska, K., Lulinska, E., Motowidlo, J., Stastny, P., Maszczyk, A., Trybek, G.
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  3. 3

    Determining validity and reliability of an in-field performance analysis system for swimming

    Born, D.-P., Polach, M., Staunton, C.
    Published in Sensors (2024)
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  4. 4

    Lactate threshold evaluation in swimming using a sweat lactate sensor: A prospective study

    Okawara, H., Sawada, T., Nakashima, D., Fujitsuka, H., Muramoto, Y., Hinokuma, D., Oshikiri, Y., Ishizaki, K., Miki, J., Hara, R., Sano, M., Sato, K., Nakamura, M., Nagura, T., Katsumata, Y.
    Published in European Journal of Sport Science (2024)
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  5. 5

    Using deep neural networks to detect non-analytically defined expert event labels in canoe sprint force sensor signals

    Rockstroh, S., Frenzel, P., Matthes, D., Schubert, K., Wollburg, D., Fuchs, M.
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  6. 6

    Generating weekly training plans in the style of a professional swimming coach using genetic algorithms and random trees

    Eriksson, R., Nicander, J., Johansson, M., Mattsson, C. M.
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  7. 7

    Feedback systems

    Leinen, P., Panzer, S.
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  8. 8

    Haptic feedback system for swimming

    Hribernik, M., Umek, A., Dopsaj, M., Kos, A.
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  9. 9

    A development of support technology for visually impaired swimmers towards Tokyo 2020 Paralympic Games

    Ohgi, Y., Narita, K., Tanigawa, T.
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  10. 10

    Assessing the use of heart-rate monitoring for competitive swimmers

    Sixsmith, H., Crowcroft, S., Slattery, K.
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  11. 11

    A comparison of load cell and pressure sensors to measure in-water force in young competitive swimmers

    Santos, C. C., Costa, M. J., Forte, P., Marinho, D. A.
    Published in Journal of Biomechanics (2023)
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  12. 12

    Swimming with the COSMED AquaTrainer and K5 wearable metabolic system in breath-by-breath mode: Accuracy, precision, and repeatability

    Zacca, R:, de Souza Castro, F. A., Monteiro, A. S. M., Pyne, D. B., Vilas-Boas, J. P., Fernandes, R. J. P.
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  13. 13

    Semi-tethered load-velocity profiling - possible applications for individualization

    Wahl, P., Keller, S.
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  14. 14

    Data analyses with Smart Paddles

    Vitazka, M.
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  15. 15

    Using impulse to measure intensity during on-water kayaking

    de Zee, M, Kristiansen, M., Lauridsen, H. B., Klitgaard, K.
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  16. 16

    Performance assessment of k2 crews in flatwater sprint kayak: a pilot study

    Romagnoli, C., Lanotte, N., Boatto, P., Delgado, D., Caprioli, L., Bonaiuto, V., Annino, G.
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  17. 17

    Welche (neuen) Tools bietet der Markt für den Einsatz im Sprinttraining? (What (new) tools does the market offer for use in sprint training?)

    Paschke, D.
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  18. 18

    Monitoring weekly progress of front crawl swimmers using IMU-based performance evaluation goal metrics

    Rad, M. H., Gremeaux, V., Massé, F., Dadashi, F., Aminian, K.
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  19. 19

    A new device for propulsion analysis in swimming

    Lanotte, N., Annino, G., Bifaretti, S., Gatta, G., Romagnoli, C., Salvucci, A., Bonaiuto, V.
    Published in Proceedings (2018)
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  20. 20

    Sprint acceleration mechanical outputs derived from position- or velocity-time data: a multi-system comparison study

    Fornasier-Santos, C., Arnould, A., Jusseaume, J., Millot, B., Guilhem, G., Couturier, A., Samozino, P., Slawinski, J., Morin, J.-B.
    Published in Sensors (2022)
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