We seek to separate and analyse each limb frequencies energy relative to the velocity signal total energy throughout wavelet transform. Eight elite swimmers (two males and six females) completed a 25 m front crawl maximal effort. A mechanical speedometer attached to a belt around the swimmers hip acquired the instantaneous velocity. The velocity vs. time curve (without the gliding and finishing sections) was analysed by continuous wavelet transform using the Analytic Morlet wavelet family. Frequency groups were formed for the upper and lower limbs (0.6 to 2.5 and 2.5 to 7.5 Hz) based on the stroke frequency associated to sprint swimming and the ratio of 1:3 for upper to lower limbs. The energy of each group of frequencies oscillates during the maximal front crawl bout ranging from 23.7 ± 2.8 to 47.2 ± 5.0 and from 36.2 ± 8.3 to 62.4 ± 4.8% of upper and lower limbs frequencies (respectively). The energy frequencies of the upper and lower limbs explained 72-93% of the total energy of the velocity variations signal, and in 50.0 ± 4.6% by the lower limbs corresponding frequencies. These surprisingly results suggest that the contribution of the lower limbs in maintaining or rising sprint swimming velocity may be much greater than previously thought.
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