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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)
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  2. 2

    Evaluating agreement between a high-g and low-g accelerometer for measuring tibial acceleration across a range of running velocities

    Wong, J., Wyatt, H. E., Whatman, C., Cross, M. R., Yang, D., Sheerin, K.
    Published in Sports Biomechanics (2025)
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  3. 3

    Validity of smartwatch-derived estimates of lactate threshold heart rate and pace compared to graded exercise testing

    Lu, C., Cui, W., Zhu, Z., Wu, Y., Xing, Q., Pan, B., Shen, Y.
    Published in Frontiers in Physiology (2025)
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  4. 4

    Agreement between an inertial measurement unit (IMU) algorithm and a photoelectric system for analysing spatiotemporal variables during overground and treadmill running

    Miqueleiz, U., Aguado-Jimenez, R., Lecumberri, P., Gorostiaga, E. M.
    Published in Sports Biomechanics (2025)
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  5. 5

    A comparison between common measurement systems for quantifying spatiotemporal variables during the early sprint acceleration phase

    Nicholson, G., Parelkar, P., Dinsdale, A. J., Bissas, A., Walker, J.
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  6. 6

    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)
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  7. 7

    Test-retest reliability and sensitivity of kinematic and kinetic metrics measured from horizontal deceleration ability tests with different sprinting distances

    Chen, Z., Lyu, M., Yin, M., Deng, S., Bishop, C., Harper, D., Dai, B., Li, Y.
    Published in Journal of Human Kinetics (2025)
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  8. 8

    Can BlazePose accurately assess joint angles in outdoor running environments?

    Srinivasan, H. K., Mathunny, J. J., Devaraj, A., Gogoi, H., Govindasamy, K., Karthik, V.
    Published in Biomedical Human Kinetics (2025)
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  9. 9

    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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  10. 10

    Validity and reliability of running gait measurement with the ViMove2 system

    Mason, R., Barry, G., Hall, G., Godfrey, A., Stuart, S.
    Published in PLOS ONE (2024)
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  11. 11

    Reliability and validity of sprint performance using the Alex7 motorized device

    Skujyte, A., Lukonaitiene, I., Stanislovaitiene, J., Šilinskas, V., Bradauskiene, K., Mamkus, G., Kamandulis, S.
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  12. 12

    Development and recommendation of kinematic event detection methods for use during bend sprint running

    White, J., Wilson, C., Irwin, G., von Lieres und Wilkau, H., Moore, J., Exell, T.
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  13. 13

    Kinematic comparison of opencap and IMU with marker-based motion capture in treadmill running: a pilot study

    Iskandar, M. N. S. I., Teng, P. S. P.
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  14. 14

    Impacts of wearable resistance placement on running efficiency assessed by wearable sensors: a pilot study

    Promsri, A., Deedphimai, S., Promthep, P., Champamuang, C.
    Published in Sensors (2024)
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  15. 15

    Are gait patterns during in-lab running representative of gait patterns during real-world training? An experimental study

    Davis IV, J. J., Meardon, S. A., Brown, A. W., Raglin, J. S., Harezlak, J., Gruber, A. H.
    Published in Sensors (2024)
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  16. 16

    Gait pattern analysis: integration of a highly sensitive flexible pressure sensor on a wireless instrumented insole

    Das, P. S., Skaf, D., Rose, L., Motaghedi, F., Carmichael, T. B., Rondeau-Gagné, S., Ahamed, M. J.
    Published in Sensors (2024)
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  17. 17

    Feedback systems

    Leinen, P., Panzer, S.
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  18. 18

    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.
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  19. 19

    Inter-trial variability is higher in 3D markerless compared to marker-based motion capture: Implications for data post-processing and analysis

    Horsak, B., Prock, K., Krondorfer, P., Siragy, T., Simonlehner, M., Dumphart, B.
    Published in Journal of Biomechanics (2024)
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  20. 20

    Markerless motion capture provides accurate predictions of ground reaction forces across a range of movement tasks

    Lichtwark, G. A., Schuster, R. W., Kelly, L. A., Trost, S. G., Bialkowski, A.
    Published in Journal of Biomechanics (2024)
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