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  1. 1

    The effect of prehabilitation, targeting personalized biomechanical deficiencies, on female swim athletes´ functional capacity

    Jauch, E., Terry, K., Hoogendyk, D., Campbell, S.
    Published in International Journal of Exercise Science Conference Proceedings (2025)
    “…An athlete`s predisposition to injury is increased when their biomechanical function under sport specific, high load of tasks, is inefficient. …”
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  2. 2

    Investigation of supervised machine learning for IMU-based swimming activity recognition

    Aram, S., Thompson, I. M., Hudson, D. A., Banks, J.
    Published in ISBS Proceedings Archive: Vol. 43: Iss. 1 (2025)
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  3. 3

    Application of selected speed development exercises for the national swimming team at Danang National Sports Training Center

    Hung, T. M., Hai, P. T., Quan, P. Q. M.
    Published in Journal of Physical Education and Sport (2025)
    “…This study examined the selection and application of scientifically grounded speed development exercises to enhance short-distance swimming performance among elite athletes at Danang National Sports Training Center, Vietnam. Given that sprint performance is a decisive factor in competitive swimming, the study aimed to address existing performance limitations through a structured and context-appropriate training program. …”
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  4. 4

    An integer programming approach for relay design in masters swimming

    De Arca, F., Marenco, J.
    Published in Journal of Sports Analytics (2025)
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  5. 5

    Reliability, accuracy and ecological validity of a wireless pressure sensor for swimming performance analysis

    Coloretti, V., Russo, G., Bartolomei, S., Fantozzi, S., Cortesi, M.
    Published in Sports Engineering (2025)
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  6. 6

    Beyond pace: predicting 1500m freestyle times with multi-feature random forests

    Russomanno, T.
    Published in 29th Annual Congress of the European College of Sport Science, 2-5 July 2024, Book of Abstracts (2024)
    “…INTRODUCTION: Advances in technology have led to a loads of data in many sports, making data-driven models increasingly popular for performance analysis (Silva. et.al., 2007). …”
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  7. 7

    Error assessment of a three-dimensional underwater motion capture methodology

    Thompson, I. M., Audot, D. A. G., Warner, M. B., Banks, J., Logan, O., Hudson, D.
    Published in Sports Biomechanics (2025)
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  8. 8

    Propulsive and braking contribution of the lower limbs, trunk, and upper limbs during underwater undulatory swimming calculated from vortices distribution: A simulation study

    Tanaka, T., Hashizume, S., Kurihara, T., Isaka, T.
    Published in Journal of Biomechanics (2025)
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  9. 9

    Interpreting the projected frontal area in front crawl: determining the projected frontal area of each body segment

    Washino, S., Murai, A., Kadi, T., Narita, K., Mankyu, H., Yoshitake, Y.
    Published in Medicine & Science in Sports & Exercise (2025)
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  10. 10

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

    Born, D.-P., Polach, M., Staunton, C.
    Published in Sensors (2024)
    Subjects: “…technology…”
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  11. 11

    Quantification of the development trend of results during the career of Croatian sprinters in the 50m freestyle concerning the best European swimmers: Initial age-performance model

    Šiljeg, K., Dopsaj, M.
    Published in 10th International scientific conference on kinesiology. Book of abstracts (2024)
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  12. 12

    Comparing muscle oxygen saturation patterns in swimmers of different competitive levels

    Benincasa, M. T., Serra, E., Albano, D., Vastola, R.
    Published in Journal of Physical Education and Sport (2024)
    “…Additionally, it highlights the significant potential of NIRS technology in sports science research and its application in refining training methodologies across various athletic disciplines…”
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  13. 13

    Development of an IMU-based motion capture system for swimming

    Bittendorf, C., Stein, T., Sell, S., Stetter, B. J.
    Published in Current Issues in Sport Science (2024)
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  14. 14

    Agreement between an automated video-based system and tethered system to measure instantaneous swimming velocity

    Scott, M., Elsworthy, N., Brackley, V., Elipot, M., Kean, C. O.
    Published in Sports Biomechanics (2024)
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  15. 15

    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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  16. 16

    Automated system for collection and differentiated evaluation of functional and special physical fitness of swimmers of different level of qualifications

    Solopov, I. N., Fomichenko, T. G., Avdienko, V. B., Bgantseva, I. V.
    Published in Theory and Practice of Physical Culture (2024)
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  17. 17

    Free-swimming tests for the aerobic and anaerobic quality assessment: a scoping review of the last ten years studies

    Demarie, S., Fagnani, F., Guidotti, F.
    Published in Medicina dello Sport (2024)
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  18. 18

    Generating weekly training plans in the style of a professional swimming coach using genetic algorithms and random trees

    Eriksson, R., Nicander, J., Johansson, M., Mattsson, C. M.
    Published in Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS Conference. PACSS 2021. Advances in Intelligent Systems and Computing, vol 1426 (2022)
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  19. 19

    Feedback systems

    Leinen, P., Panzer, S.
    Published in Sports technology. Fields of application, sports equipment and materials for sport (2024)
    Collective title: “…Sports technology. Fields of application, sports equipment and materials for sport…”
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  20. 20

    Exploring the confluence of nanotechnology and biotechnology in water sports: Innovative solutions for enhanced performance and sustainability

    Shahi, S., Shilja
    Published in Migration Letters (2023)
    Subjects: “…sport…”
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