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Search Results - "measuring and information system"

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  1. 1

    Messung von Gedächtnisstrukturen: Ein innovatives Werkzeug für die Analyse und Optimierung von Bewegungen im Schwimmen (Measurement of memory structures: An innovative tool for analyzing and optimizing swimming movements)

    Vogel, L., Kämpfer, J., Dethloff, S., Schack, T., Törpel, A.
    Published in Leistungssport (2025)
    “…measuring and information system…”
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  2. 2

    Validity of the Quarq cycling power meter

    Oteo-Gorostidi, J., Camara, J., Ojanguren-Rodríguez, D., Iriberri, J., Vadillo-Ventura, I., Montalvo-Pérez, A.
    Published in Sensors (2025)
    “…measuring and information system…”
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  3. 3

    A novel method to predict carbohydrate and energy expenditure during endurance exercise using measures of training load

    Rothschild, J. A., Hofmeyr, S., McLaren, S. J., Maunder, E.
    Published in Sports Medicine (2025)
    “…measuring and information system…”
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  4. 4

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

    Born, D.-P., Polach, M., Staunton, C.
    Published in Sensors (2024)
    “…measuring and information system…”
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  5. 5

    Using inertial measurement units to examine selected joint kinematics in a road cycling sprint: a series of single cases

    Morbey, S., Tronslien, M., Kong, K., Chapman, D. W., Netto, K.
    Published in Sensors (2024)
    “…measuring and information system…”
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  6. 6

    Feedback systems

    Leinen, P., Panzer, S.
    Published in Sports technology. Fields of application, sports equipment and materials for sport (2024)
    “…measuring and information system…”
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  7. 7

    INSCYD physiological performance software is valid to determine the maximal lactate steady state in male and female cyclists

    Poffé, C., Van Dael, K., Van Schuylenbergh, R.
    Published in Frontiers in Sports and Active Living (2024)
    “…measuring and information system…”
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  8. 8

    Which strength manifestation is more related to regional swimmers` performance and in-water forces? Maximal neuromuscular capacities versus maximal mechanical maintenance capacity

    Miras-Moreno, S., López-Belmonte, Ó., García-Ramos, A., Arellano, R., Ruiz-Navarro, J. J.
    Published in International Journal of Sports Physiology and Performance (2024)
    “…measuring and information system…”
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  9. 9

    Running critical power: between-day, interlimb and interunit reliability

    Ruiz-Alias, S. A., Ñancupil-Andrade, A. A., Pérez-Castilla, A., Garcia-Pinillos, F.
    Published in Sports Engineering (2024)
    “…measuring and information system…”
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  10. 10

    Validation of LEOMO inertial measurement unit sensors with marker-based three-dimensional motion capture during maximum sprinting in track cyclists

    Thompson, R., Bini, R. R., Paton, C., Hébert-Losier, K.
    Published in Journal of Sports Sciences (2024)
    “…measuring and information system…”
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  11. 11

    The reliability of a linear position transducer for measuring countermovement jump performance in national-level road cyclists

    Turner, A., McKean, M., Doyle, D., Burkett, B.
    Published in PLOS ONE (2024)
    “…measuring and information system…”
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  12. 12

    Calcul de la capacité anaérobie en course à pied et à vélo à l`aide de mesures post-exercices (Calculation of anaerobic capacity in running and cycling using post-exercise measures)

    Hill, D. W.
    Published in Science & Sports (2023)
    “…measuring and information system…”
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  13. 13

    Assessment of accelerometer-derived data in the context of seat height changes in cycling and the impact on running in triathlon

    Evans, S. A., James, D. A., Rowlands, D., Lee, J. B.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2023)
    “…measuring and information system…”
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  14. 14

    Wake flow visualization around swimmer's foot and thrust force estimation at an indoor swimming pool.

    Shimojo, H., Yamashiro, S., Ichikawa, H., Shimoyama, Y., Tsunokawa, T., Sengoku, Y., Takagi, H.
    Published in XIVth International Symposium on Biomechanics and Medicine in Swimming Proceedings (2023)
    “…measuring and information system…”
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  15. 15

    Haptic feedback system for swimming

    Hribernik, M., Umek, A., Dopsaj, M., Kos, A.
    Published in XIVth International Symposium on Biomechanics and Medicine in Swimming Proceedings (2023)
    “…measuring and information system…”
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  16. 16

    Live sonification of the swimming intracyclic velocity

    Roig, A., Duran, J., Arañó, M., Gutiérrez, A.
    Published in XIVth International Symposium on Biomechanics and Medicine in Swimming Proceedings (2023)
    “…measuring and information system…”
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  17. 17

    Swimming spatial-temporal variables obtained with manual timekeeping and video analysis: comparison, correlation, and agreement

    De Souza Castro, F. A., Zimermann, M., Menin, L., Nazário, C., Pereira, G. A., Fiori, J. M., Guedes, J. P.
    Published in XIVth International Symposium on Biomechanics and Medicine in Swimming Proceedings (2023)
    “…measuring and information system…”
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  18. 18

    Validity and reliability of the wireless pressure sensor for aquatic activities and its ecological usefulness for swimming propulsion analysis

    Coloretti, V., Russo, G., Fantozzi, S., Cortesi, M.
    Published in XIVth International Symposium on Biomechanics and Medicine in Swimming Proceedings (2023)
    “…measuring and information system…”
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  19. 19

    Relationship between longitudinal upper body rotation and energy cost of running in junior elite long-distance runners

    Lang, C., Schleichardt, A., Warschun, F., Walter, N., Fleckenstein, D., Berkel, F., Ueberschär, O.
    Published in Sports (2023)
    “…measuring and information system…”
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  20. 20

    Low cost and personalized highlight generation during cycling races

    Decorte, R., De Bock, J., Slembrouck, M., Verstockt, S.
    Published in Journal of Science and Cycling (2023)
    “…measuring and information system…”
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