Search Results - Stöggl,T.

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  1. 1

    Technology on snow and ice: Innovation, monitoring, and performance for the Olympic Winter Games Milano Cortina 2026

    Almqvist, A., Supej, M., Düking, P., Stöggl, T., Holmberg, H.-C.
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  2. 2

    Meta-analyses of the effects of high-intensity interval training in elite athletes — part II: relationships between the mean effects on various performance measures

    Wiesinger, H. P., Hopkins, W. G., Haller, N., Blumkaitis, J., Strepp, T., Stöggl, T. L.
    Published in Frontiers in Physiology (2024)
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  3. 3

    A training goal-oriented categorization model of high-intensity interval training

    Stöggl, T. L., Strepp, T., Wiesinger, H. P., Haller, N.
    Published in Frontiers in Physiology (2024)
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  4. 4

    Meta-analyses of the effects of high-intensity interval training in elite athletes—part I: mean effects on various performance measures

    Wiesinger, H.-P., Stöggl, T. L., Haller, N., Blumkaitis, J., Strepp, T., Kilzer, F., Schmuttermair, A., Hopkins, W. G.
    Published in Frontiers in Physiology (2025)
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  5. 5

    Focus on one swimming stroke or compete in multiple: How much specialization is needed to become a world-class female swimmer?

    Born, D. P., Lorentzen, J., Ruiz-Navarro, J. J., Stöggl, T., Romann, M., Björklund, G.
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  6. 6

    Which training intensity distribution intervention will produce the greatest improvements in maximal oxygen uptake and time-trial performance in endurance athletes? A systematic re...

    Rosenblat, M. A., Watt, J. A., Arnold, J. I., Treff, G., Sandbakk, Ø. B., Esteve-Lanao, J., Festa, L., Filipas, L., Galloway, S. D., Muñoz, I., Ramos-Campo, D. J., Schneeweiss, P., Sellés-Pérez, S., Stöggl, T., Talsnes, R. K., Zinner, C., Seiler, S.
    Published in Sports Medicine (2025)
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  7. 7

    Cross-country ski skating style sub-technique detection and skiing characteristic analysis on snow using high-precision GNSS

    Uda, S., Miyamoto, N., Hirose, K., Nakano, H., Stöggl, T., Linnamo, V., Lindinger, S., Takeda, M.
    Published in Sensors (2024)
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  8. 8

    Development of a simple algorithm to detect big air jumps and jumps during skiing

    Kranzinger, S., Kranzinger, C., Alvarez, A. M., Stöggl, T.
    Published in PLOS ONE (2024)
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  9. 9

    Sensor-driven analysis of angle of attack in alpine skiing: a laboratory exploration

    Schütz, S., Thorwartl, C., Thorwartl, P., Stöggl, T., Holzer, H.
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  10. 10

    Validity and reliability of the orthelligent pro sensor for measuring aingle-leg vertical jump height in healthy athletic adults

    Pasquale, C., Baschung Pfister, P., Kuhn, M., Stöggl, T.
    Published in Sensors (2024)
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  11. 11

    Injury, training, biomechanical, and physiological profiles of professional breakdancers

    Arundale, A. J., McNulty, R., Snyder, C., O`Brien, J., Stöggl, T.
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  12. 12

    Adding LIT to HIIT - is low-intensity training vital for endurance-trained athletes during a 7-day HIIT shock microcycles?

    Strepp, T., Blumkaitis, J. C., Haller, N., Stöggl, T. L.
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  13. 13

    Using 3D motion capture to analyse ice hockey shooting technique on ice

    Swarén, M., Söhnlein, Q., Stöggl, T., Björklund, G.
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  14. 14

    Specialize early and select late: Performance trajectories of world-class finalists and international- and national-class swimmers

    Born, D.-P., Björklund, G., Lorentzen, J., Stöggl, T., Romann, M.
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  15. 15

    Illness prediction of elite youth soccer players based on blood-based biomarker data and machine learning models

    Kranzinger, S., Kranzinger, C., Haller, N., Stöggl, T.
    congress proceedings
    “…Stöggl, T.…”
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  16. 16

    Relationships between changes in performance related-measures following high-intensity interval training in elite athletes derived via meta-regression analyses

    Haller, N., Stöggl, T., Strepp, T., Kilzer, F., Schmuttermair, A., Blumkaitis, J., Hopkins, W. G., Wiesinger, H. P.
    congress proceedings
    “…Stöggl, T.…”
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  17. 17

    Meta-analyses of the effect of high-intensity interval training on performance-related measures in elite athletes

    Wiesinger, H. P., Hopkins, W. G., Haller, N., Blumkaitis, J., Strepp, T., Kilzer, F., Schmuttermair, A., Stöggl, T.
    congress proceedings
    “…Stöggl, T.…”
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  18. 18

    Predicting future stars: Probability and performance corridors for elite swimmers

    Born, D.-P., Stöggl, T., Lorentzen, J., Romann, M., Björklund, G.
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  19. 19

    Predicting injury and illness with machine learning in elite youth soccer: A comprehensive monitoring approach over 3 months

    Haller, N., Kranzinger, S., Kranzinger, C., Blumkaitis, J. C., Strepp, T., Simon, P., Tomaskovic, A., O'Brien, J., Düring, M., Stöggl, T.
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  20. 20

    Blood-based biomarkers for managing workload in athletes: perspectives for research on emerging biomarkers

    Haller, N., Reichel, T., Zimmer, P., Behringer, M., Wahl, P., Stöggl, T., Krüger, K., Simon, P.
    Published in Sports Medicine (2023)
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