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Assessment of the functional movement screen test with the use of motion capture system by the example of trunk stability push-up exercise among adolescent female football players

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EN
Abstrakty
EN
The paper presents the application of the BTS motion capture system to verify the FMS test assessment. The research group consisted of adolescent female football players who underwent standard FMS assessment by a physiotherapist. In order to objectify the physical performance assessment, a mechanical model was proposed, on the basis of which the parameters supporting the evaluation of the test were defined. The example of the analysis of one of the exercises (push-ups) presented in the paper showed that even the players who obtained the highest marks in the test do not always perform the exercises flawlessly, which is a consequence of subjective assessment made by specialists. The use of a motion capture system together with an appropriate biomechanical model allows for a much more objective assessment of the physical performance and detecting any dysfunction of the movement apparatus of the examined persons.
Rocznik
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art. no. 2020220
Opis fizyczny
Bibliogr. 10 poz., il. kolor., 1 fot.
Twórcy
autor
  • Faculty of Mechanical Engineering, Poznan University of Technology, Piotrowo 3, 60-965 Poznań, Poland
autor
  • Faculty of Mechanical Engineering, Poznan University of Technology, Piotrowo 3, 60-965 Poznań, Poland
  • Department of Physiotherapy, Karol Marcinkowski Poznan University of Medical Sciences, Smoluchowskiego 11, 60-167 Poznań, Poland
  • Faculty of Mechanical Engineering, Poznan University of Technology, Piotrowo 3, 60-965 Poznań, Poland
  • Faculty of Mechanical Engineering, Poznan University of Technology, Piotrowo 3, 60-965 Poznań, Poland
  • Faculty of Mechanical Engineering, Poznan University of Technology, Piotrowo 3, 60-965 Poznań, Poland
  • Institute of Applied Mechanics, Faculty of Mechanical Engineering, Poznan University of Technology, Jana Pawła II 24, 60-965 Poznań, Poland
  • Institute of Applied Mechanics, Faculty of Mechanical Engineering, Poznan University of Technology, Jana Pawła II 24, 60-965 Poznań, Poland
  • Institute of Applied Mechanics, Faculty of Mechanical Engineering, Poznan University of Technology, Jana Pawła II 24, 60-965 Poznań, Poland
  • Department of Physiotherapy, Karol Marcinkowski Poznan University of Medical Sciences, Smoluchowskiego 11, 60-167 Poznań, Poland
Bibliografia
  • 1. K. Kiesel, P.J. Plisky, M.L. Voight, Can serious injury in professional football be predicted by a preseason functional movement screen?, North American Journal of Sports Therapy, 2(3) (2007) 147-158.
  • 2. R.J. Butler, P.J. Plisky, C. Southers, C. Scoma, K. Kiesel, Biomechanical analysis of the different classifications of the Functional Movement Screen deep squat test, Sports Biomechanics, 9(4) (2010) 270-279.
  • 3. B. Pueo, J.M. Jimenez-Olmedo, Application of motion capture technology for sport performance analysis, Retos, 32 (2017) 241-247.
  • 4. H.Y. Chang, Y.H. Hsueh, C.L. Lo, Automatic Image-Capture and Angle Tracking System Applied on Functional Movement Screening for Athletes, 1st IEEE International Conference on Knowledge Innovation and Invention, (2018) 106-107.
  • 5. G. Cook, L. Burton, B. J. Hoogenboom, M. Voight, Functional movement screening: the use of fundamental movements as an assessment of function-part 2., Int. J. Sports Phys. Ther., 9(4) (2014) 549-563.
  • 6. D. M. Frost, T. A. C. Beach, T. L. Campbell, J. P. Callaghan, S. M. McGill, Can the Functional Movement ScreenTM be used to capture changes in spine and knee motion control following 12 weeks of training?, Phys. Ther. Sport, 23 (2017) 50-57.
  • 7. A. Gramala, J. Otworowski, T. Walczak, J.K. Grabski, A.M. Pogorzała, Influence of the Most Important Elements of the Prosthesis on Biomechanics of the Human Gait After Amputation of the Lower Limb, In: Gapiński B., Szostak M., Ivanov V. (eds) Advances in Manufacturing II. MANUFACTURING 2019. Lecture Notes in Mechanical Engineering, (2019) 342-356.
  • 8. A. Gramala, P. Drapikowski, A.M. Pogorzała, T. Walczak, Application of Construction Solutions of Biped Walking Robots in Designing a Prosthetic Foot, In: Tkacz E., Gzik M., Paszenda Z., Piętka E. (eds) Innovations in Biomedical Engineering. IBE 2018. Advances in Intelligent Systems and Computing, 925 (2018) 177-189.
  • 9. M. Michałowska, T. Walczak, J.K. Grabski, M. Cieślak, People identification based on dynamic determinants of human gait, Vibr. Phys. Syst., 29 (2018) 2018012.
  • 10. T. Walczak, J.K. Grabski, M. Grajewska, M. Michałowska, Application of artificial neural networks in man’s gait recognition, In: Kleiber, M., Burczyński, T., Wilde, K., Górski, J., Winkelmann, K., Smakosz, Ł. (eds.) Advances in Mechanics: Theoretical, Computational and Interdisciplinary Issues. Proceedings of the 3rd Polish Congress of Mechanics (PCM) and 21st International Conference on Computer Methods in Mechanics (CMM), (2016) 591-594.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1f8596b1-70d3-4363-863a-4d3520c90eea
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