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  1. 1

    Comparison of weekly training load and acute:chronic workload ratio methods to estimate change in training load in running

    Cloosterman, K. L. A., de Vos, R.-J., van Oeveren, B., Visser, E., Bierma-Zeinstra, S. M. A., van Middelkoop, M.
    Published in Journal of Athletic Training (2024)
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  2. 2

    Accuracy of smartwatches in predicting distance running performance

    Dai, J., Chen, G., Gu, Z., Qi, Y., Xu, K.
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  3. 3

    Relationship between external training load and session rating of perceived exertion training impulse in elite sprinters

    Thome, M., Nimphius, S., Jordan, M. J., Thorpe, R. T.
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  4. 4

    Reliability and validity of predicted performance in the severe-intensity domain from the 3-minute all-out running test

    Busso, T., Lloria-Varella, J., Sabater-Pastor, F.
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  5. 5

    Validity and reliability of 10-Hz global positioning system to assess In-line movement and change of direction

    Nikolaidis, P. T., Clemente, F. M., Van der Linden, C. M., Rosemann, T., Knechtle, B.
    Published in Frontiers in Physiology (2018)
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  6. 6

    Intensity distribution of collegiate cross-country competitions

    Perez, N., Miller, P., Farrell, J. W.
    Published in Sports (2024)
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  7. 7

    Can player tracking devices monitor changes in internal response during multidirectional running?

    Oxendale, C. L., Highton, J., Smith, G., Twist, C.
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  8. 8

    Research on integration of indoor and outdoor positioning in professional athletic training

    Liu, Y., Chen, Q.
    Published in Proceedings (2018)
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  9. 9

    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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  10. 10

    Validity of wearable monitors and smartphone applications to measure steps and distance in adolescents

    Adamakis, M.
    Published in SportMont (2022)
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  11. 11

    Implementing high-speed running and sprinting training in professional soccer

    Beato, M., Drust, B., Iacono, A. D.
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  12. 12

    Validity and reliability of a 10 Hz GPS for assessing variable and mean running speed

    Bataller-Cervero, A. V., Gutierrez, H., DeRenteria, J., Piedrafita, E., Marcén, N., Valero-Campo, C., Lapuente, M., Berzosa, C.
    Published in Journal of Human Kinetics (2019)
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  13. 13

    Enhanced sprint performance analysis in soccer: New insights from a GPS-based tracking system

    Reinhardt, L., Schwesig, R., Lauenroth, A., Schulze, S., Kurz, E.
    Published in PLOS ONE (2019)
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  14. 14

    Sprint diagnostic with GPS and inertial sensor fusion

    Mertens, J. C., Boschmann, A., Schmidt, M., Plessl, C.
    Published in Sports Engineering (2018)
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  15. 15

    Sprint running performance monitoring: Methodological and practical considerations

    Haugen, T., Buchheit, M.
    Published in Sports Medicine (2016)
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  16. 16

    RedFIR zur Leistungsdiagnostik in den leichtathletischen Laufdisziplinen

    Voll, D., Völker, M.
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  17. 17

    Can GPS be used to detect deleterious progression in training volume among runners?

    Nielsen, R. O., Cederholm, P., Buist, I., Sorensen, H., Lind, M., Rasmussen, S.
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  18. 18

    Applications of GPS technologies to field sports

    Aughey, R. J.
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  19. 19

    Concurrent validity and test-retest reliability of a global positioning system (GPS) and timing gates to assess sprint performance variables

    Waldron, M., Worsfold, P., Twist, C., Lamb, K.
    Published in Journal of Sports Sciences (2011)
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  20. 20

    Predicting 30 m timing gate speed from a 5 Hz Global Positioning System (GPS) device

    Waldron, M., Worsfold, P., Twist, C., Lamb, K.
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