Kinematic analysis as a part of objective method of functional classification in disability swimming – Pilot studies
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Background:A new functional classification system (FCS) of disability swimming is based only on functional abilities in water. The aim of this research was to evaluate the possibility of kinematic analysis to supplement the FCS. Material/Methods: The investigations were carried out during the Polish Winter Disability Swimming Championships in 2008 and involved recording the results of the 100 m freestyle swimming event. Participants included 10 women and 11 men aged 21.7 ± 6.6. Results: The averages and standard deviations (SD) of stroke length (SL), stroke rate (SR), clean swimming speed (CSS) and stroke efficiency index (SI) were calculated. There is a strong negative correlation between SL and SR reaching 0.86 (p < 0.05) in particular classes. There were no statistically significant correlations between classes in the SL, CSS and SI parameters (p < 0.01) and no statistically significant differences were revealed in the Wilcoxon test (p < 0.01), which suggests that the division of swimmers into these classes was performed inaccurately and subjectively. Conclusions: Kinematic parameters could support FCS, and it might be an indicator of progress and the effectiveness of training methods for coaches.
1 - 10 - 2013
20 - 10 - 2013
- Dep. of Biomechanics, University School of Physical Education in Wroclaw, Poland, firstname.lastname@example.org
- Dep. of Biomechanics, University School of Physical Education in Wroclaw, Poland
- Dep. of Physiotherapy, Faculty of Health Science, Wroclaw Medical University, Poland
- 1. Jones C, Wilson C. Defining advantage and athletic performance: The case of Oscar Pistorius. Eur J Sport Sci. 2009;9:125-131.[WoS][Crossref]
- 2. Knechtle B, Baumann B, Knechtle P, Rosemann T. What influences race performance in male openwater ultra-endurance swimmers: anthropometry or training? Human Movement. 2010;11: 5-10.
- 3. Aschenbrenner P, Lipinska P, Erdmann W. Application of the AS-4 software in research on players’ kinematics on a large area in 3D coordinates as an alternative to commercial programs. Baltic Journal of Health and Physical Activity. 2012;4(3):172-179.
- 4. Pelayo P, Sidney M, Moretto P, Wille F, Chollet D. Stroking parameters in top level swimmers with a disability. Med Sci Sport Exer. 1999;31:1839-1843.[Crossref]
- 5. Malone LA, Sanders RH, Schiltz JH, Steadward RD. Effects of visual impairment on stroke parameters in Paralympic swimmers. Med Sci Sport Exer. 2001;33:2098-2103.[Crossref]
- 6. Kennedy P, Brown P, Chengalur SN, Nelson RC. Analysis of Male and female Olympic swimmers in the 100 meter events. Int J Sport Biomech. 1990;6:187-197.
- 7. Smith DJ, Norris SR, Hogg JM. Performance evaluation of swimmers: scientific tools. Sports Med. 2002;32:539-54.[Crossref][PubMed]
- 8. Pelayo P, Moretto P, Robin H. Adaptation of maximal aerobic and anaerobic tests for disabled swimmers. Eur J Appl Physiol O. 1995;71:512-517.[Crossref]
- 9. Taiar R, Lodini A, Rouard A, Toshev Y. Estimation of swimmers anthropometric parameters and surface areas in real swimming conditions. Acta Bioeng Biomech. 2005;7:85-95.
- 10. Seifert L, Chollet D, Chatard JC. Kinematic changes during a 100-m front crawl: effects of performance level and gender. Med Sci Sport Exer. 2007;39:1784-1793.[Crossref]
- 11. Barbosa TM, Bragada JA, Reis VM, Marinho DA, Carvalho C, Silva AJ. Energetics and biomechanics as determining factors of swimming performance: Updating the state of the art. J Sci Med Sport. 2010;13: 262-269.[Crossref][PubMed][WoS]
- 12. Costa M, Bragada J, Mejias J. Tracking the performance, energetics and biomechanics of international versus national level swimmers during a competitive season. Eur J Appl Physiol. 2012;112:811-820.[WoS][Crossref][PubMed]
- 13. Dadashi F, Crettenand F, Millet GP, Aminian A. Front-crawl instantaneous velocity estimation using a wearable inertial measurement unit. Sensors. 2012;12:12927-12939.[Crossref][WoS]
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