Análise sistemática do desgaste físico no futebol com tecnologia inercial: revisão e integração pedagógica, destacando variáveis chave para o planejamento do treinamento
Palavras-chave:
Futebol, Sensores de desgaste físico, Treinamento físico, Pedagogia, Modelos de ensino, Monitorização fisiológica, Educação física, Didática, EnsinoBarra lateral de artigos
Accepted 2025-04-09
Published 2023-12-05
Conteúdo do artigo principal
O objetivo foi analisar os sensores de desgaste físico no futebol e as tecnologias recentes para medir variáveis físicas nos últimos 5 anos. Avaliar sua contribuição para profissionais de saúde, atividade física e treinamento, e sua relevância no planejamento e na pedagogia do treinamento.
Akyildiz, Z., Clemente, F. M., Şentürk, D., Gürol, B., Yildiz, M., Ocak, Y., y Günay, M. (2022). Investigation of the convergent validity and reliability of unit position differences of Catapult S5 GPS units in field conditions. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology. https://doi.org/10.1177/17543371221100592 DOI: https://doi.org/10.1177/17543371221100592
Bastiaansen, B. J. C., Vegter, R. J. K., Wilmes, E., de Ruiter, C. J., Lemmink, K. A. P. M., y Brink, M. S. (2022). Biomechanical load quantification using a lower extremity inertial sensor setup during football specific activities. Sports Biomechanics, 1–16. https://doi.org/10.1080/14763141.2022.2051596 DOI: https://doi.org/10.1080/14763141.2022.2051596
Burland, J. P., Outerleys, J. B., Lattermann, C., y Davis, I. S. (2020). Reliability of wearable sensors to assess impact metrics during sport-specific tasks. Journal of Sports Sciences, 39(4), 406–411. https://doi.org/10.1080/02640414.2020.1823131 DOI: https://doi.org/10.1080/02640414.2020.1823131
Chiang, Y.-Y., Shih, W.-Y., Chen, W.-H., Huang, J.-L., y Shiang, T.-Y. (2020). A machine learning-based countermovement performance measurement method using a wearable IMU. Proceedings of the 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), 79–85. IEEE. https://doi.org/10.1109/ICPAI51961.2020.00022 DOI: https://doi.org/10.1109/ICPAI51961.2020.00022
de-Oliveira, L. A., Aragao-Santos, J. C., Heredia-Elvar, J. R., y Da Silva-Grigoletto, M. E. (2022). Movement velocity as an indicator of mechanical fatigue and resistance exercise intensity in cross modalities. Research Quarterly for Exercise and Sport, 94(4), 1028–1034.https://doi.org/10.1080/02701367.2022.2101603 DOI: https://doi.org/10.1080/02701367.2022.2101603
de Ruiter, C. J., Wilmes, E., Brouwers, S. A. J., Jagers, E. C., y van Dieen, J. H. (2022). Concurrent validity of an easy-to-use inertial measurement unit-system to evaluate sagittal plane segment kinematics during overground sprinting at different speeds. Sports Biomechanics, 1–14. https://doi.org/10.1080/14763141.2022.2056076 DOI: https://doi.org/10.1080/14763141.2022.2056076
Dobbin, N., Thorpe, C., Highton, J., y Twist, C. (2022). Individual and situational factors affecting the movement characteristics and internal responses to Touch match-play during an international tournament. Science and Medicine in Football, 7(4), 347–357. https://doi.org/10.1080/24733938.2022.2107232 DOI: https://doi.org/10.1080/24733938.2022.2107232
Grazioli, R., Loturco, I., Veeck, F., Setuain, I., Zandavalli, L. A., Inacio, M., Pinto, R. S., y Cadore, E. L. (2023). Speed-related abilities are similarly improved after sled training under different magnitudes of velocity loss in highly trained soccer players. International Journal of Sports Physiology and Performance, 18(4), 420-427. https://doi.org/10.1123/ijspp.2022-0354 DOI: https://doi.org/10.1123/ijspp.2022-0354
Higgins, J. P. T., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M. J., y Welch, V. A. (Eds.) (2019). Cochrane handbook for systematic reviews of interventions (2a ed.). Wiley. https://doi.org/10.1002/9781119536604 DOI: https://doi.org/10.1002/9781119536604
Li, X., Li, C., Cui, Y., y Wong, D. P. (2020). Acute kinematics and kinetics changes to wearable resistance during change of direction among soccer players. Research in Sports Medicine, 29(2), 155–169. https://doi.org/10.1080/15438627.2020.1770761 DOI: https://doi.org/10.1080/15438627.2020.1770761
Marume, K., Mugele, H., Ueno, R., Amin, S. B., Lesmana, H. S., Possnig, C., Hansen, A. B., Simpson, L. L., y Lawley, J. S. (2023). The impact of leg position on muscle blood flow and oxygenation during low-intensity rhythmic plantarflexion exercise. European Journal of Applied Physiology, 123, 1091–1099. https://doi.org/10.1007/s00421-022-05117-9 DOI: https://doi.org/10.1007/s00421-022-05117-9
McDevitt, S., Hernandez, H., Hicks, J., Lowell, R., Bentahaikt, H., Burch, R., Ball, J., Chander, H., Freeman, C., Taylor, C., y Anderson, B. (2022). Wearables for biomechanical performance optimization and risk assessment in industrial and sports applications. Bioengineering, 9(1). https://doi.org/10.3390/bioengineering9010033 DOI: https://doi.org/10.3390/bioengineering9010033
McHugh, M. P., Clifford, T., Abbott, W., Kwiecien, S. Y., Kremenic, I. J., DeVita, J. J., y Howatson, G. (2019). Countermovement jump recovery in professional soccer players using an inertial sensor. International Journal of Sports Physiology and Performance, 14(1), 9–15. https://doi.org/10.1123/ijspp.2018-0131 DOI: https://doi.org/10.1123/ijspp.2018-0131
Nobari, H., Silva, R., Clemente, F. M., Oliveira, R., Carlos-Vivas, J., y Pérez-Gómez, J. (2021). Variations of external workload across a soccer season for starters and non-starters. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 237(3), 150-159. https://doi.org/10.1177/17543371211039297 DOI: https://doi.org/10.1177/17543371211039297
Oliva-Lozano, J. M., Gómez-Carmona, C. D., Fortes, V., y Pino-Ortega, J. (2022). Effect of training day, match, and length of the microcycle on workload periodization in professional soccer players: A full-season study. Biology of Sport, 39(2), 397–406. https://doi.org/10.5114/biolsport.2022.106148 DOI: https://doi.org/10.5114/biolsport.2022.106148
Pillitteri, G., Giustino, V., Petrucci, M., Rossi, A., Leale, I., Bellafiore, M., Thomas, E., Iovane, A., Palma, A., y Battaglia, G. (2023). Match load physical demands in U-19 professional soccer players assessed by a wearable inertial sensor. Journal of Functional Morphology and Kinesiology, 8(1). https://doi.org/10.3390/jfmk8010022 DOI: https://doi.org/10.3390/jfmk8010022
Praca, G. M., Abreu, C. D., Rochael, M., y Moreira, P. D. (2022). How reliable are the tactical measures obtained in soccer small-sided games? A test-retest analysis of observational instruments and GPS-based variables. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology. https://doi.org/10.1177/17543371221113925 DOI: https://doi.org/10.1177/17543371221113925
Russell, M., Sparkes, W., Northeast, J., Cook, C. J., Love, T. D., Bracken, R. M., y Kilduff, L. P. (2016). Changes in acceleration and deceleration capacity throughout professional soccer match-play. Journal of Strength and Conditioning Research, 30(10), 2839–2844. https://doi.org/10.1519/JSC.0000000000000805 DOI: https://doi.org/10.1519/JSC.0000000000000805
Schelling, X., y Robertson, S. (2020). A development framework for decision support systems in high-performance sport. International Journal of Computer Science in Sport, 19(1), 1–23. https://doi.org/10.2478/ijcss-2020-0001 DOI: https://doi.org/10.2478/ijcss-2020-0001
Spineti, J., Figueiredo, T., Willardson, J., de Oliveira, V., Assis, M., de Oliveira, L., Miranda, H., de Ribeiro Reis, V. M., y Simão, R. (2019). Comparison between traditional strength training and complex contrast training on soccer players. Journal of Sports Medicine and Physical Fitness, 59(1), 42–49. https://doi.org/10.23736/S0022-4707.18.07934-3 DOI: https://doi.org/10.23736/S0022-4707.18.07934-3
Taberner, M., O’Keefe, J., Flower, D., Phillips, J., Close, G., Cohen, D. D., Richter, C., y Carling, C. (2019). Interchangeability of position tracking technologies: Can we merge the data? Science and Medicine in Football, 4(1), 76–81. https://doi.org/10.1080/24733938.2019.1634279 DOI: https://doi.org/10.1080/24733938.2019.1634279
Zadeh, A., Taylor, D., Bertsos, M., Tillman, T., Nosoudi, N., y Bruce, S. (2021). Predicting sports injuries with wearable technology and data analysis. Information Systems Frontiers, 23(4), 1023–1037. https://doi.org/10.1007/s10796-020-10018-3 DOI: https://doi.org/10.1007/s10796-020-10018-3
Zagatto, A. M., Beck, W. R., y Gobatto, C. A. (2009). Validity of the running anaerobic sprint test for assessing anaerobic power and predicting short-distance performances. Journal of Strength and Conditioning Research, 23(6), 1820–1827. https://doi.org/10.1519/JSC.0b013e3181b3df32 DOI: https://doi.org/10.1519/JSC.0b013e3181b3df32
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