Biomechanics and Medicine in Swimming XI

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Table 5. Mean±standard deviation values (X±SD) of the total swimming time (t), mean duration of each cycle (tcycle), stroke frequency (SF), cycle mean force (FmeanC) and variation coefficient of FmeanC (VC). Values for time intervals defined by the fatigue thresholds of postpubertal swimmers. t total (s) One threshold* Two thresholds** tcycle (s) One threshold* Two thresholds** SF (cycles.s-1 ) One threshold* Two thresholds** FmeanC(m·s-1 ) One threshold* Two thresholds** VC (%) One threshold* Two thresholds** First time interval 11.89±2.79 6.90±0.76 1.19±0.11 a 1.07±0.08 b 0.84±0.08 a 0.94±0.07 b 105.29±32.81 a 86.60±34.73 b 43.58±7.52 a 38.75±14.24 Second time interval Third time interval 13.90±2.85 8.86±2.24 9.36±1.79 1.28±0.11 1.13±0.08 1.19±0.09 0.79±0.07 0.89±0.07 0.85±0.07 86.21±26.66 76.66±27.64 67.11±24.05 47.08±8.81 37.00±8.98 41.50±8.10 a Significantely different from second time interval at p
BiomechanicsandmedicineinswimmingXi Identification of a Bias in the Natural Progression of Swim Performance stager, J.M. 1 , Brammer, c.l. 1 , tanner, d.A. 1 1 Indiana University, Bloomington, USA The longitudinal progression of athletic records has been described by best fit curves which can be used to extrapolate future athletic performances. Any subsequent significant deviations from these curves would suggest compelling evidence of cataclysmic changes introduced into the sport. We evaluated recent elite swim performances to determine if bias can be identified within competitive swimming. Predictions of the 2008 Olympic swimming competition were calculated for each event and compared to actual performances. 17/26 events in 2008 were significantly faster than predicted (p
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Figure 1. General biomechanical par
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average VO2 measured during resting
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Fourteen highly trained male swimme
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etween experimental groups and cont
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Pahlen Norge AS Pahlen Norge AS Cha
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