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  1. 1

    Validity of current smartwatches for triathlon training: How accurate are heart rate, distance, and swimming readings?

    Jacko, T., Bartsch, J., von Diecken, C., Ueberschär, O.
    Published in Sensors (2024)
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  2. 2

    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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  3. 3

    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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  4. 4

    Swimming velocity analysis using wearable inertial sensors and speedometer: a comparative study

    da Silva Vieira, L. J.
    Published 2023
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  5. 5

    Wearable pressure sensors for swimming thrust analysis: a validation study

    Coloretti, V., Russo, G., Fantozzi, S., Cortesi, M.
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  6. 6

    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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  7. 7

    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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  8. 8

    FES TriaLog Schwimmsensor (FES TriaLog Swim Sensor)

    Hoffmeister, T., Ehmen, H.
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  9. 9

    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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  10. 10

    Using statistical parametric mapping to compare the propulsion of age-group swimmers in front crawl acquired with the aquanex system

    Morais, J.E., Marinho, D.A., Oliveira, J.P., Sampaio, T., Lopes, T., Barbosa, T.M.
    Published in Sensors (2022)
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  11. 11

    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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  12. 12

    Accuracy and precision of wearable devices for real-time monitoring of swimming athletes

    Cosoli, G., Antognoli, L., Veroli, V., Scalise, L.
    Published in Sensors (2022)
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  13. 13

    Novel method for estimating propulsive force generated by swimmers` hands using inertial measurement units and pressure sensors

    Kadi, T., Wada, T., Narita, K., Tsunokawa, T., Mankyu, H., Tamaki, H., Ogita, F.
    Published in Sensors (2022)
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  14. 14

    SmartSwim, a novel IMU-based coaching assistance

    Hamidi Rad, M., Gremetaux, V., Massé, F., Dadashi, F., Aminian, K.
    Published in Sensors (2022)
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  15. 15

    Sensor-basierte Echtzeit-Laufdiagnostik in der Leichtathletik (Sensor-based real-time running diagnostics in athletics)

    Lames, M., Blauberger, P.
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  16. 16

    Is a head-worn inertial sensor a valid tool to monitor swimming?

    Shell, S. J., Clark, B., Broatch, J. R., Slattery, K., Halson, S. L:, Coutts, A. J.
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  17. 17

    Design and implementation of a novel component oriented system for performance monitoring of elite athletes

    Chakravorti, N.
    Published 2017
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  18. 18

    A method comparison of block based accelerometers and force sensors for determination of response times in the sprint start

    Holmes, J., Hayes, K., Harrison, A. J.
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  19. 19

    Inertial sensors in swimming: Detection of stroke phases through 3D wrist trajectory

    Cortesi, M., Giovanardi, A., Gatta, G., Mangia, A. L., Bartolomei, S., Fantozzi, S.
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  20. 20

    Komplexe Kraftmessung am Kajakergometer (Complex power measurement on the kayak ergometer)

    Jahn, C., Witt, M., Englert, M.
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