ARV value of the fitted curve at the time of the first <strong>and</strong> the last stroke were computed. For the frequency analysis mean frequency (MNF) was calculated. The values of MNF were plotted as a function of time. L<strong>in</strong>ear regression analysis was applied to obta<strong>in</strong> the <strong>in</strong>itial value (the value of MNF at the time of the first stroke) <strong>and</strong> the f<strong>in</strong>al value (the value of MNF at the time of the last stroke), labelled MNF Sbeg <strong>and</strong> MNF Send respectively. In order to normalize results between subjects the f<strong>in</strong>al values were expressed as a percentage of the <strong>in</strong>itial values <strong>and</strong> labelled MNF n. Descriptive statistics <strong>and</strong> repeated measures ANOVA, with subsequent Tukey’s test for post-hoc analysis were used for multiple comparisons between the groups. results The average blood lactate values collected before <strong>and</strong> 1, 3 <strong>and</strong> 5 m<strong>in</strong>utes after the swim were 1.8 ± 0.6, 6.7 ± 1.47, 12.7 ± 2.2 <strong>and</strong> 14.1 ± 2.93 mmol.l -1 respectively. The highest lactate value collected was 17.7 mmol.l -1 . Stroke rate (SR), stroke length (SL) <strong>and</strong> SS (S) are shown <strong>in</strong> Table 1 Table 1. Stroke length (SL), stroke rate (SR) <strong>and</strong> swimm<strong>in</strong>g speed SS (S) SL(m) SR(stroke*m<strong>in</strong>-1 ) S(m/s) Distance (m) av. SD av. SD av. SD 25 2.00 0.13 50.56 4.15 1.68 0.08 50 2.02 0.16 47.12 5.33 1.58 0.09 75 1.94 0.14 46.32 4.54 1.49 0.06 100 1.89 0.18 45.77 4.71 1.43 0.08 The ARV calculated for LD2 <strong>and</strong> TB <strong>in</strong>creased significantly at the end of the swimm<strong>in</strong>g with respect to the beg<strong>in</strong>n<strong>in</strong>g of swimm<strong>in</strong>g as shown <strong>in</strong> Figure 2, left. Fig.2. Left: Comparison of the amplitude (ARV) of the EMG signal at the beg<strong>in</strong>n<strong>in</strong>g <strong>and</strong> the end of 100 m all-out swim. Right: Mean MNF values with SD of MNF Sbeg <strong>and</strong> MNF Send for all muscles *p < 0.05. The differences between the MNF Sbeg <strong>and</strong> the MNF Send , were significant for all muscles (p
<strong>Biomechanics</strong><strong>and</strong>medic<strong>in</strong>e<strong>in</strong>swimm<strong>in</strong>gXi conclusIon By us<strong>in</strong>g EMG amplitude <strong>and</strong> frequency analysis, the progression of muscle fatigue <strong>in</strong> arm propell<strong>in</strong>g muscles was clearly detected. No differences <strong>in</strong> the relative decrease of MNF between the muscles under observation were found. This suggests that these muscles fatigued to approximately the same extent dur<strong>in</strong>g all-out crawl, which may present significant <strong>in</strong>formation for the coaches <strong>in</strong> order to plan strength workouts. reFerences Aspenes, S., Kjendlie, P.L., Hoff, J., & Helgerud, J. (2009). Comb<strong>in</strong>ed strength <strong>and</strong> endurance tra<strong>in</strong><strong>in</strong>g <strong>in</strong> competitive swimmers. J Sports Sci Med 8, 357-365. Aujouannet, Y.A., Bonifazi, M., H<strong>in</strong>tzy, F., Vuillerme, N., & Rouard, A.H. (2006). Effects of a high-<strong>in</strong>tensity swim test on k<strong>in</strong>ematic parameters <strong>in</strong> high-level athletes. Appl Physiol Nutr Metabol 31:150-158. Bonifazi, M., Martelli, G., Marugo, L., Sardela, F., & Carli, G.(1993). Blood lactate acumulation <strong>in</strong> top level swimmers follow<strong>in</strong>g competition. J Sports Med Phys Fitness, 33(1) 13-18. Caty, V.Y., Rouard, A.H., H<strong>in</strong>tzy, F., Aujouannet, Y.A., Mol<strong>in</strong>ari, F., & Knaflitz, M.(2006).Time-frequency parameters of wrist muscles EMG after an exhaustive freestyle test. Revista Portuguesa de Ciencias do Desporto 6:28-30. Clarys, J. P., Massez, C., Van der Broeck, M., Piette, G., & Robeaux, R.(1983). Total Telemetric Surface EMG of the Front Crawl. International Series on <strong>Biomechanics</strong> 5, 4A, p.p. 951-959. Human K<strong>in</strong>etics Publishers. Girold, S., Calmels, P., Maur<strong>in</strong>, D., Milhau, N., & Chatard, J.C. (2006). Assisted <strong>and</strong> resisted spr<strong>in</strong>t tra<strong>in</strong><strong>in</strong>g <strong>in</strong> swimm<strong>in</strong>g. J Strength Condit Res 20(3),547-554. Havriluk, R. (2004). H<strong>and</strong> force <strong>and</strong> swimm<strong>in</strong>g velocity. In: XVth Federation Internationale de Natation World Congress. Indianapolis. http:// swimm<strong>in</strong>gtechnology.com/FINA2004.htm Kesk<strong>in</strong>en, K.L., & Komi, P.V. (1993). Strok<strong>in</strong>g characteristics of front crawl swimm<strong>in</strong>g dur<strong>in</strong>g exercise. J Appl Biomech 9:219–226. Maglischo, E. W. (2003). Swimm<strong>in</strong>g fastest. Champa<strong>in</strong>, IL: Human k<strong>in</strong>etics. Merletti, R., Lo Conte, R., & Orizio, C. (1991). Indices of muscle fatigue. J Electromyogr K<strong>in</strong>esiol 1:20-33. Miyashita, M. (1975). Arm action <strong>in</strong> the crawl stroke. In Lewillie L, Clarys JP (ed) Swimm<strong>in</strong>g II University Park Press, Baltimore, 167– 173. Rouard, A.H., Billat, R.P., Deschodt, V., & Clarys, J.P. (1997) Muscular activations dur<strong>in</strong>g repetitions of scull<strong>in</strong>g movements up to exhaustion <strong>in</strong> swimm<strong>in</strong>g. Arch Physiol Biochem 105:655-662. Rouard, A.H., Schleihauf, R.E., & Troup, J.P. (1996). H<strong>and</strong> forces <strong>and</strong> phases <strong>in</strong> freestyle stroke. In: Troup JP, Holl<strong>and</strong>er AP, Strasse D, Trappe SW, Cappaert JM, Trappe TA (ed) <strong>Biomechanics</strong> <strong>and</strong> <strong>Medic<strong>in</strong>e</strong> <strong>in</strong> swimm<strong>in</strong>g VII, Chapman & Hall, London, UK, 34-42. Seifert, L., Chollet, D., & Chatard, J.C. (2008) K<strong>in</strong>ematic changes dur<strong>in</strong>g a 100-m front crawl: effects of performance level <strong>and</strong> gender. Med Sci Sports Exerc 40(3):591. Schleihauf,R.E. (1979). A hydrodynamic analysis of swimm<strong>in</strong>g propulsion. In: Teraud J, Bed<strong>in</strong>gfield EW (eds) Swimm<strong>in</strong>g III, International Series of Sport Sciences. University Park Press, BaltimoreSeifert L, Chollet D, Chatard JC (2008) K<strong>in</strong>ematic changes dur<strong>in</strong>g a 100-m front crawl: effects of performance level <strong>and</strong> gender. <strong>Medic<strong>in</strong>e</strong> & Science <strong>in</strong> Sports & Exercise 40(3):591. Toussa<strong>in</strong>t, H.M., Carol, A., Kranenborg, H., & Truijens, M.J. (2006). Effect of fatigue on strok<strong>in</strong>g characteristics <strong>in</strong> an arms-only 100-m front-crawl race. Medic Sci Sports Exerc 38:1635-42. Wakayoshi, K., Moritani, T., Mutoh, Y., Miyashita, M. (1994). Electromyographic evidence of selective muscle fatigue dur<strong>in</strong>g competitive swimm<strong>in</strong>g. In: Miyashita M, Mutoh Y, Richardson AB (eds) <strong>Medic<strong>in</strong>e</strong> <strong>and</strong> Sport Science 39:16-23. 170 Comparison Among Three Types of Relay Starts <strong>in</strong> Competitive Swimm<strong>in</strong>g takeda, t. 1 , takagi, h. 1 , tsubakimoto, s. 1 1 University of Tsukuba, Tsukuba, JAPAN The purpose of the present study was to evaluate the effectiveness of no-step, s<strong>in</strong>gle-step <strong>and</strong> double-step relay starts for swimmers. Eight male collegiate swimmers participated <strong>in</strong> the present study. For each type of start, each swimmer performed six trials of relay starts with maximum effort. Ground reaction forces were measured us<strong>in</strong>g a Kistler force plate to calculate the take-off velocity <strong>and</strong> take-off angle from the force data. Relay times were measured by count<strong>in</strong>g the number of video frames obta<strong>in</strong>ed by a high-speed camera. No significant difference <strong>in</strong> the horizontal take-off velocity was observed. The relay times decreased significantly <strong>in</strong> the order nostep, s<strong>in</strong>gle-step <strong>and</strong> double-step starts (P < 0.05). Eight trials among all the trials for the step starts resulted <strong>in</strong> <strong>in</strong>correct foot placement on the edge of the block. No-step starts resulted <strong>in</strong> better performance than step starts. Key words: step start, relay time, performance IntroductIon In relay events, it is possible to record a time on the start<strong>in</strong>g block (block time) of zero second. The block time is the time that elapses between the <strong>in</strong>stant at which the start signal is given <strong>and</strong> the <strong>in</strong>stant at which the swimmer’s foot leaves the start<strong>in</strong>g block. In relay events, the first swimmer beg<strong>in</strong>s the race when the start signal is given, <strong>and</strong> swimmers to follow start after the previous swimmer has reached his or her f<strong>in</strong>ish<strong>in</strong>g po<strong>in</strong>t. Therefore, the time on the block of the swimmers to follow should ideally correspond to the <strong>in</strong>stant at which the previous swimmer reaches his or her f<strong>in</strong>ish<strong>in</strong>g po<strong>in</strong>t. The block time of an <strong>in</strong>dividual <strong>in</strong> regular events ranges from approximately 0.6 to 0.8 s, as reported <strong>in</strong> previous studies (Issur<strong>in</strong> & Verbitsky 2003, Takeda & Nomura 2006). The results of relay events depend upon the technique adopted while chang<strong>in</strong>g swimmers dur<strong>in</strong>g a relay. The sum of the block times <strong>in</strong> the three changeover swimmers represents approximately 2.4 s. There are two k<strong>in</strong>ds of start<strong>in</strong>g techniques <strong>in</strong> relay events. Their starts generate greater horizontal velocity upon take-off from the start<strong>in</strong>g block (McLean et al. 2000). The sw<strong>in</strong>g start <strong>in</strong>volves the sw<strong>in</strong>g of an arm. On the other h<strong>and</strong>, the step start <strong>in</strong>volves tak<strong>in</strong>g one or two steps before jump<strong>in</strong>g with both feet from the block. There have been a few studies on relay starts (Gambrel et al. 1991, McLean et al. 2000). McLean et al. (2000) <strong>in</strong>vestigated the effectiveness of step starts <strong>in</strong> the case of collegiate male swimmers who were given <strong>in</strong>struction on step starts over a four-week period. These researchers reported that step starts were effective relay starts. However, they did not consider the relay time when evaluat<strong>in</strong>g the start performance. The step start is considered a more difficult technique than a start <strong>in</strong>volv<strong>in</strong>g no steps (no-step start) because swimmers often place their foot on the edge of the start<strong>in</strong>g block by mistake. The swimmer cannot generate satisfactory horizontal velocity on the block if the foot placement is <strong>in</strong>correct. It is necessary to determ<strong>in</strong>e the best relay start by tak<strong>in</strong>g <strong>in</strong>to consideration the time taken to change swimmers dur<strong>in</strong>g the relay <strong>and</strong> the difficulty each swimmer faces <strong>in</strong> the step start. The purpose of the present study was to evaluate the effectiveness of the three types of relay starts <strong>in</strong> order to determ<strong>in</strong>e the relay start performance while consider<strong>in</strong>g the relay time <strong>and</strong> the difficulty faced dur<strong>in</strong>g step starts. Methods Eight well-tra<strong>in</strong>ed male college swimmers participated <strong>in</strong> this study. Their mean height, mean body weight <strong>and</strong> mean age were 177.9 ± 5.7
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