Energy cost and body centre of mass’ 3D intracycle velocity variation in swimming
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The purpose of this study was to examine the relationship between the energy cost (C) and the 3D intracycle velocity variation (IVV; swimming direction—x, vertical—y and lateral—z axes) throughout the 200 m front crawl event. Ten international level swimmers performed a maximal 200 m front crawl swim followed by 50, 100 and 150 m bouts at the same pace as in the 200 m splits. Oxygen consumption was measured during the bouts and blood samples were collected before and after each one. The C was calculated for each 50 m lap as the ratio of the total energy expenditure (three energy pathways) to the distance. A respiratory snorkel and valve system with low hydrodynamic resistance was used to measure pulmonary ventilation and to collect breathing air samples. Two above water and four underwater cameras videotaped the swim bouts and thereafter APAS was used to assess the centre of mass IVV (x, y and z components). The increase in the C was significantly associated with the increase in the IVV in x for the first 50 m lap (R = −0.83, P < 0.01). It is concluded that the IVV relationship with C in a competitive event does not present the direct relationship found in the literature, revealing a great specificity, which suggests that the relation between these two parameters could not be used as a performance predictor in competitive events.
KeywordsBiophysics Energetics Front crawl Kinematics
This investigation was supported by grants of Portuguese Science and Technology Foundation (SFRH/BD/38462/2007) (PTDC/DES/101224/2008—FCOMP-01-0124-FEDER-009577).
Conflict of interest
The authors declare that they have no conflict of interest.
- Abdel-Aziz Y, Karara H (1971) Direct linear transformation: from comparator coordinates into object coordinates in close range photogrammetry. In: Proceedings of the symposium on close-range photogrammetry. Church Falls, Illinois, pp 1–18Google Scholar
- Alves F, Gomes-Pereira J, Pereira F (1996) Determinants of energy cost of front crawl and backstroke swimming and competitive performance. In: Troup JP, Hpllander AP, Strasse D, Trappe SW, Cappaert JM, Trappe TA (eds) Biomechanics and medicine in swimming VII. E & FN Spon, London, pp 185–191Google Scholar
- Barbosa TM, Lima F, Portela A, Novais D, Machado L, Colaço P, Gonçalves P, Fernandes R, Keskinen KL, Vilas-Boas JP (2006b) Relationships between energy cost, swimming velocity and speed fluctuation in competitive swimming strokes. Port J Sports Sci 6(S2):192–194Google Scholar
- Caty VY, Rouard AH, Hintzy F, Aujouannet YA, Molinari F, Knaflitz M (2006) Time–frequency parameters of wrist muscles EMG after an exhaustive freestyle test. Port J Sports Sci 6(S2):28–30Google Scholar
- Cohen J (1988) Statistical power analysis for the behavioral sciences, 2nd edn. Lawrence Erlbaum Associates, HillsdaleGoogle Scholar
- di Prampero PE, Pendergast D, Wilson D, Rennie DW (1978) Blood lactic acid concentrations in high velocity swimming. In: Eriksson B, Furberg B (eds) Swimming medicine IV. University Park Press, Baltimore, pp 249–261Google Scholar
- Figueiredo P, Sousa A, Gonçalves P, Pereira S, Soares S, Vilas-Boas JP, Fernandes RJ (2010a) Biophysical analysis of the 200 m front crawl swimming: a case study. In: Kjendlie P, Stallman R, Cabri J (eds) Proceedings of the XIth International Symposium for Biomechanics and Medicine in Swimming, Norwegian School of Sport Science, Oslo, pp 79–81Google Scholar
- Figueiredo P, Machado L, Vilas-Boas JP, Fernandes RJ (2011a) Reconstruction error of calibration volume’s coordinates for 3D swimming kinematics. J Hum Kinet 29:45–50Google Scholar
- Holmer I (1983) Energetics and mechanical work in swimming. In: Hollander AP, Huijing PA, Groot G (eds) Biomechanics and medicine in swimming. Human Kinetics Publishers, Champaign, pp 155–164Google Scholar
- Nigg B (1983) Selected methodology in biomechanics with respect to swimming. In: Hollander AP, Huijing PA, Groot G (eds) Biomechanics and medicine in swimming. Human Kinetics Publishers, Champaign, pp 72–80Google Scholar
- Toussaint HM, Hollander AP, de Groot G, van Ingen Schenau GJ, Vervoorn K, de Best H, Meulemans T, Schreurs W (1988b) Measurement of efficiency in swimming man. In: Ungerechts BE, Wilkie K, Reischle K (eds) Swimming science V. Human Kinetics Publishers, Champaign, pp 45–52Google Scholar
- Vilas-Boas JP (1996) Speed fluctuations and energy cost of different breaststroke techniques. In: Troup JP, Hpllander AP, Strasse D, Trappe SW, Cappaert JM, Trappe TA (eds) Biomechanics and medicine in swimming VII. E & FN Spon, London, pp 167–171Google Scholar
- Vilas-Boas JP (2010) Biomechanics and medicine in swimming, past, present and future. In: Kjendlie KL, Stallman RK, Cabri J (eds) Biomechanics and medicine in swimming XI. Norwegian School of Sport Science, Oslo, pp 11–19Google Scholar
- Vilas-Boas JP, Fernandes RJ, Barbosa TM (2010) Intra-cycle velocity variations, swimming economy, performance and training in swimming. In: Seifert L, Chollet D, Mujika I (eds) World book of swimming: from science to performance. Nova Science Publishers, Inc., USA, pp 120–140Google Scholar