Application of the Motion Capture System in the Biomechanical Analysis of the Injured Knee Joint
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The aim of the study was to analyzed the gaits determinants and the components of the ground reaction forces in patients treated surgically with the use of arthroscopy technique due to injuries in the knee joint. For the purpose of this study, three clinical cases of people with knee joint dysfunctions were examined. The studies were carried out in a biomechanical laboratory using the BTS Smart motion capture system. From the large set of collected data, the gaits determinants and the components of the ground reaction force were taken under account. The characteristics of the parameters considered for each patient were compared. The BST Smart system allows analysis of all gait determinants and ground forces reactions, what gives many important information about state of examined patient. These data cannot be collected during classical physical examination. The obtained results indicate the tendency of unloading the lower limb operated in relation to the opposite lower limb, although the gait is normal during visual analysis.
KeywordsBiomechanical analysis Gait Knee joint Arthroscopy
The presented research results were funded with the grant 02/21/DSPB/3513 allocated by the Ministry of Science and Higher Education in Poland.
- 1.Bochenek, A., Reicher, M.: Human Anatomy (PZWL), vol. I, Warsaw (1954). (in Polish)Google Scholar
- 2.Kapandji, A.I.: Functional anatomy of joints. Lower limb, vol. 2. Elsevier Urban & Partner, Wrocław (2013). (in Polish)Google Scholar
- 3.Nordin, M., Frankel, V.H.: Basic Biomechanics of the Musculoskeletal System, 4th edn. Wolter Kluwer/Lippincott Wiliams & Wilkins (2012)Google Scholar
- 4.Green, W.B.: Netters Orthopedics. Urban & Partner, Wrocław (2007). (in Polish)Google Scholar
- 5.Górecki, A.: Damage of the knee joint (PZWL), Warsaw (2002). (in Polish)Google Scholar
- 6.Błaszczak, J.W.: Clinical biomechanics, manual for students of medicine and physiotherapy (PZWL), Warsaw (2004). (in Polish)Google Scholar
- 8.Tejszerska, D., Świtoński, E., Gzik, M.: Biomechanics of the musculoskeletal system, Wydawnictwo Naukowe Instytutu Technologii Eksploatacji – PiB, Radom (2011). (In Polish)Google Scholar
- 9.Michałowska, M., Walczak, T., Grabski, J.K., Cieślak, M.: People identification based on dynamic determinants of human gait. In: Vibrations in Physical Systems, vol. 29 (2018)Google Scholar
- 10.Grabski, J.K., Kazimierczuk, S., Walczak, T.: Analysis of the electromyographic signal during rehabilitation exercises of the knee joint. Vibr. Phys. Syst. 26, 79–86 (2014)Google Scholar
- 11.Walczak, T., Grabski, J.K., Cieślak, M., Michałowska, M.: The recognition of human by the dynamic determinants of the gait with use of ANN. In: Awrejcewicz, J. (ed.) Springer Proceedings in Mathematics and Statistics, Dynamical Systems: Modelling, Łódź, Poland, 7–10 December 2015, vol. 181, pp. 375–385. Springer (2016)Google Scholar
- 12.Walczak, T., Grabski, J.K., Grajewska, M., Michałowska, M.: 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), PCM-CMM-2015 Congress, Gdańsk Poland, 8–11 September 2015, pp. 591–594. CRC Press/Taylor & Francis Group, London (2016)Google Scholar