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Biomechanics and Medicine in Swimming XI

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Seifert L, Chollet D. (2009). Modell<strong>in</strong>g spatial-temporal <strong>and</strong> coord<strong>in</strong>ative<br />

parameters <strong>in</strong> swimm<strong>in</strong>g. J Sci Med Sport, 12: 495-499.<br />

Seifert L, Chollet D, Rouard A (2007). Swimm<strong>in</strong>g constra<strong>in</strong>ts <strong>and</strong> arm<br />

coord<strong>in</strong>ation. Hum Mov Sci, 26: 68-86.<br />

Toussa<strong>in</strong>t HM, Truijens M. (2005). Biomechanical aspects of peak performance<br />

<strong>in</strong> human swimm<strong>in</strong>g. Animal Biol, 55: 17-40.<br />

chaPter2.<strong>Biomechanics</strong><br />

Different Frequential Acceleration Spectrums <strong>in</strong><br />

Front Crawl<br />

Madera, J., González, l.M., García Massó, X., Benavent, J.,<br />

colado, J.c., tella, V.<br />

Universidad de Valencia, Valencia, España<br />

This study analyzed the three different frequency spectrums of acceleration<br />

that def<strong>in</strong>e the hip acceleration produced by front crawl swimmers<br />

dur<strong>in</strong>g a high-speed test. The swimmers (n=79) performed 25 meters<br />

at maximum speed. The acceleration (m·s -2 ) was obta<strong>in</strong>ed by the derivative<br />

analysis of the variation of the swimmer’s hip position<br />

with time. The amplitude <strong>in</strong> the time doma<strong>in</strong> was calculated with<br />

the root mean square; while the peak power, the peak power frequency<br />

<strong>and</strong> the spectrum area were calculated <strong>in</strong> the frequency<br />

doma<strong>in</strong> with Fourier analysis. Results showed that 27.85% of<br />

the swimmers have a front crawl frequential spectrum of type 1,<br />

30.38% of type 2 <strong>and</strong> 41.77% of type 3. Type 1 frequential spectrum<br />

showed more concentration as opposed to produc<strong>in</strong>g accelerations<br />

<strong>in</strong> front crawl <strong>and</strong> may be the cause of a better efficiency.<br />

Key words: Front crawl swimm<strong>in</strong>g, acceleration, spectrum types.<br />

IntroductIon<br />

From the biomechanical po<strong>in</strong>t of view, swimm<strong>in</strong>g performance depends<br />

on the mechanical <strong>in</strong>teraction between water <strong>and</strong> the dynamical actions<br />

of the swimmer’s body. From this <strong>in</strong>teraction arises a force opposition<br />

(i.e. propulsion vs drag) that is the source of the swimm<strong>in</strong>g velocity. All<br />

this orig<strong>in</strong>ates a succession of velocity fluctuations dur<strong>in</strong>g every swimm<strong>in</strong>g<br />

cycle (Miller, 1975). These <strong>in</strong>tra-cycle velocity variations have been<br />

studied to improve the swimm<strong>in</strong>g performance, consider<strong>in</strong>g spatialtemporal<br />

parameters (Alves et al., 1994; Holmer, 1979; Miyashita, 1971;<br />

Vilas-Boas, 1992 <strong>and</strong> 1996; Alberty et al., 2005; Tella et al. 2006).<br />

Most of the available literature is ma<strong>in</strong>ly concentrated on velocity<br />

analysis. However, the acceleration is the direct result of the force application<br />

that is <strong>in</strong>ferred <strong>in</strong> swimm<strong>in</strong>g. So, there will be major or m<strong>in</strong>or<br />

displacements of the swimmer depend<strong>in</strong>g on the forces magnitude<br />

(Reiwald & Bixler, 2001), be<strong>in</strong>g the most effective the forces that produce<br />

accelerations <strong>in</strong> the swimm<strong>in</strong>g direction (Bixler, 2005).<br />

With the aim of characteriz<strong>in</strong>g the forces applied <strong>in</strong> the front crawl<br />

stroke, Tella et al. (2008) analyzed the acceleration produced <strong>in</strong> the<br />

swimm<strong>in</strong>g direction, focus<strong>in</strong>g their analysis on both the time <strong>and</strong> frequency<br />

doma<strong>in</strong>s (i.e., the power spectrum analysis) of the swimmers’ hip<br />

acceleration. Accord<strong>in</strong>g to these results, the extent of the acceleration<br />

generated at specific frequencies may directly <strong>in</strong>fluence swimm<strong>in</strong>g efficiency.<br />

Also, this study presented three spectrum profiles <strong>in</strong> the frequeny<br />

doma<strong>in</strong> for front crawl swimm<strong>in</strong>g; one, two or more power peak (PP)<br />

spectrums.<br />

The ma<strong>in</strong> objective of this work was to identify the proportion of<br />

the aforementioned type of spectrums <strong>in</strong> a larger number of front crawl<br />

swimmers, <strong>and</strong> to analyze the differences of both temporal <strong>and</strong> frequency<br />

parameters. As a secondary objective, we related these parameters<br />

with performance.<br />

Methods<br />

After hav<strong>in</strong>g signed an <strong>in</strong>formed consent, all the procedures described<br />

<strong>in</strong> this study fulfilled the requirements listed <strong>in</strong> the Hels<strong>in</strong>ki Declaration<br />

of 1975 <strong>and</strong> its later amendment <strong>in</strong> October 2000, seventy-n<strong>in</strong>e<br />

regional <strong>and</strong> national front crawl swimmers (mean ± st<strong>and</strong>ard error of<br />

the mean (SEM) age 16.89±0.367 years; weight 63.172±1.3373; height<br />

172.54±1.142 cm) took part <strong>in</strong> the experiments. The swimmers neither<br />

suffered musculoskeletal pathologies nor restrictions, which may have<br />

h<strong>in</strong>dered their performance dur<strong>in</strong>g events.<br />

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