Design of physical function monitoring system for athletes in soccer training in college sports

[1] Lee, H. A., & Hsu, C. Y. (2019). Building a data collection architecture for exercise training and health monitoring. The FASEB Journal, 33. Search in Google Scholar

[2] Rago, V. (2020). Training load monitoring in football: application of field systems in professional male players (phd academy award) phd academy award. British Journal of Sports Medicine, 55(12), 1-2. Search in Google Scholar

[3] Li, W. Z., & Cao, Y. H. (2018). Study on the monitoring of excellent bicycle athletes’ body function before competition. Basic & clinical pharmacology & toxicology.(Suppl.3), 123. Search in Google Scholar

[4] Sagarra-Romero, Lucía, Ruidiaz Pe?A, M., Monroy Antón, Antonio, & Calero Morales, S. (2017). Ithlete heart rate variability app: knowing when to train. British Journal of Sports Medicine, 1373. Search in Google Scholar

[5] Michael V. Fedewa, Elizabeth D. Hathaway, Tyler D. Williams, & Michael D. Schmidt. (2017). Effect of exercise training on non-exercise physical activity: a systematic review and meta-analysis of randomized controlled trials. Sports Medicine. Search in Google Scholar

[6] Sousa, H., lvio Rúbio Gouveia, Marques, A., Sarmento, H., Pestana, M., & Tomás Quintal, et al. (2022). The influence of small-sided football games with numerical variability in external training load. Sustainability, 14. Search in Google Scholar

[7] Yang, T., Yuan, G., & Yan, J. (2021). Health analysis of footballer using big data and deep learning. Scientific Programming, 2021(2), 1-8. Search in Google Scholar

[8] Lu, Z., Li, Z., Zhang, L., & Sun, G. (2021). Physiological index monitoring of wearable sports training based on a wireless sensor network. Journal of Sensors(Pt.10), 2021. Search in Google Scholar

[9] Los Arcos, A., MartínezSantos, Raúl, Yanci, J., & Mendezvillanueva, A. (2017). Monitoring perceived respiratory and muscular exertion and physical fitness in young professional soccer players during a 32-weeks period. Kinesiology, Accepted(2), 153-160. Search in Google Scholar

[10] Kaeding T. S.Karch A.Schwarz R.Flor T.Wittke T. - C.Kück M.Bselt G.Tegtbur U.Stein L. (2017). Whole-body vibration training as a workplace-based sports activity for employees with chronic low-back pain. Scandinavian journal of medicine & science in sports., 27(12). Search in Google Scholar

[11] Martin-Garetxana, I., Lekue, J. A., Monasterio, X., Arce, J., Bikandi, E., & Yarritu, A., et al. (2021). 239 monitoring wellbeing and perceived exertion in relation to injury risk in elite female football players over 2 seasons. British Journal of Sports Medicine, 55(Suppl 1), A93-A94. Search in Google Scholar

[12] Yang, J., & Lv, W. (2021). Optimization of sports training systems based on wireless sensor networks algorithms. IEEE sensors journal(21-22). Search in Google Scholar

[13] Huttin, OlivierSelton-Suty, ChristineVenner, ClementVilain, Jean-BaptisteRochecongar, PierreAliot, Etienne. (2018). Electrocardiographic patterns and long-term training-induced time changes in 2484 elite football players. Archives of cardiovascular diseases, 111(5). Search in Google Scholar

[14] Li, R. H., Huang, Y., Ren, W., & Qiao, J. (2022). Dynamic monitoring method of physical training intensity based on wearable sensors. Mathematical Problems in Engineering, 2022. Search in Google Scholar

[15] Wang, C. (2021). Real-time analysis of athletes’ physical condition in training based on video monitoring technology of optical flow equation. Advances in Mathematical Physics(Pt.4), 2021. Search in Google Scholar

[16] Kasza, K., Boncz, I., Cs, P., Molics, B., & Tardi, P. (2020). Pms62 examination of functional training’s effectiveness for youth football players. Value in Health, 23, S602. Search in Google Scholar

[17] Smakal, J., Jamrog, N., & Wojanowski, B. (2021). 053 the preventive effect of targeted adductor training on groin pain from football players. British Journal of Sports Medicine, 55(Suppl 1), A22-A22. Search in Google Scholar