Individualisation of Training and Prevention in Sprinting: The FULGUR Project

Authors

Keywords:

sprint, strain injuries, tailored training, athlete availability

Abstract

At the Olympic Games, maximal speed running is the most frequently performed action by athletes, with the 100m being considered the flagship event. However, achieving such sprinting speeds requires not only highly developed physical abilities but also a robust musculoskeletal system to avoid excessive injury risk. Indeed, lower limb muscle injuries, which are heavily solicited during sprinting, are the leading cause of training or competition interruptions on the international stage. France stands out historically for its excellence in speed sports and is recognized for its research in sports science applied to understanding sprint performance. Within this context, the FULGUR project pursues three main objectives: to describe sprint mechanics at the center of mass and joint segment levels, in order to quantify sprint-specific training loads at these scales, under real-world training or even competition conditions (Work Package 1); to determine the musculoskeletal profile of each elite athlete with the aim of offering “tailor-made” training programs to optimize sprint propulsion efficiency (Work Package 2); to estimate the injury risk level and suggest individualized prevention strategies based on a multifactorial approach that includes environmental factors (nutrition, sleep) and athlete behavior (Work Package 3). These objectives will be supported by cross-cutting work packages aimed at improving the analysis of musculoskeletal imaging and sports movement using ultrasound techniques and machine learning.

References

Avrillon, S., Guilhem, G., Barthelemy, A. et Hug, F. (2018). Coordination of hamstrings is individual specific and is related to motor performance. Journal of applied physiology, 125(4), 1069-1079. https://doi.org/10.1152/japplphysiol.00133.2018

Avrillon, S., Hug, F. et Guilhem, G. (2020). Bilateral differences in hamstring coordination in previously injured elite athletes. Journal of applied physiology, 128(3), 688-697. https://doi.org/10.1152/japplphysiol.00411.2019

Beuve, S., Flandin, A., Nordez, A., Lacourpaille, L., Hug, F., Le Galèze, R., Guilhem, G. et Gennisson, J.-L. (2021). Quantification of elastic properties of Achille’s tendon: a first step to explore muscle-tendon structures exposed to substantial injury incidence. 2021 IEEE International Ultrasonics Symposium (IUS) (p. 1-4). Xi’an, China. https://doi.org/10.1109/IUS52206.2021.9593422

Duhig, S., Shield, A. J., Opar, D., Gabbett, T. J., Ferguson, C. et Williams, M. (2016). Effect of high-speed running on hamstring strain injury risk. British journal of sports medicine, 50(24), 1536-1540. https://doi.org/10.1136/bjsports-2015-095679

Edouard, P., Caumeil, B., Giroux, C., Bruneau, A., Tondut, J., Navarro, L., Hanon, C., Guilhem, G. et Ruffault, A. (2023). Epidemiology of injury complaints in elite sprinting athletes in athletics (Track and Field). Applied Sciences, 13(14), 8105. https://doi.org/10.3390/app13148105

Fiorentino, N. M., Rehorn, M. R., Chumanov, E. S., Thelen, D. G. et Blemker, S. S. (2014). Computational models predict larger muscle tissue strains at faster sprinting speeds. Medicine and science in sports and exercise, 46(4), 776-786. https://doi.org/10.1249/MSS.0000000000000172

Fornasier-Santos, C., Arnould, A., Jusseaume, J., Millot, B., Guilhem, G., Couturier, A., Samozino, P., Slawinski, J. et Morin, J.-B. (2022). Sprint acceleration mechanical outputs derived from position- or velocity-time data: a multi-system comparison study. Sensors, 22(22), 8610. https://doi.org/10.3390/s22228610

Galizzi, V., Amiot, A., Hegyi, A., Morales, A., Guilhem, G. et Luvison, B. (2023). AI-driven sprint kinematics analysis using sagittal video footage for high-performance sprinting [communication par affiche]. ECSS, Paris, France, juillet 2023.

Katagiri, H., Forster, B. B., Engebretsen, L., An, J. S., Adachi, T., Saida, Y., Onishi, K. et Koga, H. (2022). Epidemiology of MRI-detected muscle injury in athletes participating in the Tokyo 2020 Olympic Games. British journal of sports medicine, 57(4), 218-224. https://doi.org/10.1136/bjsports-2022-105827

Michard, H., Bertrand, L., Quoc-Cuong, P., Morales-Artacho, A. J. et Guilhem, G. (2021). AW-Net: automatic muscle structure analysis on B-mode ultrasound images for injury prevention. BCB ’21: Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (p. 1-9). ACM. https://doi.org/10.1145/3459930.3469531

Piecuch, L. et al. (2023). Muscle volume quantification: guiding transformers with anatomical priors. Dans C. Wachinger, B. Paniagua, S. Elhabian, J. Li et J. Egger (dir.), Shape in medical imaging. ShapeMI 2023. Lecture Notes in Computer Science, vol. 14350. Springer, Cham. https://doi.org/10.1007/978-3-031-46914-5_14

Schuermans, J., Van Tiggelen, D., Danneels, L. et Witvrouw, E. (2014). Biceps femoris and semitendinosus—teammates or competitors? New insights into hamstring injury mechanisms in male football players: a muscle functional MRI study. British journal of sports medicine, 48(22), 1599-1606. https://doi.org/10.1136/bjsports-2014-094017

Soligard, T., Palmer, D., Steffen, K., Lopes, A. D., Grek, N., Onishi, K., Shimakawa, T., Grant, M. E., Mountjoy, M., Budgett, R. et Engebretsen, L. (2023). New sports, COVID-19 and the heat: sports injuries and illnesses in the Tokyo 2020 Summer Olympics. British journal of sports medicine, 57. https://doi.org/10.1136/bjsports-2022-106155

Tondut, J., Dandrieux, P.-E., Caumeil, B., Ruffault, A., Giroux, C., Guilhem, G., Navarro, L. et Édouard, P. (2023). Estimation du risque de blessures en utilisant le machine learning basée sur le monitoring de la perception des états physiques et mentaux des athlètes : étude préliminaire sur 110 athlètes de haut niveau suivis sur une période de 18 mois. Journal de Traumatologie du Sport, 8148(2), 74-80. http://dx.doi.org/10.1016/j.jts.2023.04.002

La sprinteuse Louise Maraval prend se prépare à franchir une haie pendant une compétition.

Published

2024-11-15

How to Cite

Giroux, C. (2024). Individualisation of Training and Prevention in Sprinting: The FULGUR Project. Réflexions Sport, 32, 24-39. https://revue-rs.france.sport/revue/article/view/123