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Choice of sprint start performance measure affects the performance-based ranking within a group of sprinters: which is the most appropriate measure?

机译:选择短跑开始表现指标会影响一组短跑运动员基于表现的排名:哪个是最合适的指标?

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摘要

Sprint start performance has previously been quantified using several different measures. This study aimed to identify whether different measures could influence the performance-based ranking within a group of 12 sprinters, and if so, to identify the most appropriate measure. None of the 10 performance measures ranked all sprinters in the same order; Spearman's rho correlations between different block phase measures ranged from 0.50 to 0.94, and between block phase measures and those obtained beyond block exit from 0.66 to 0.85. Based on the consideration of what each measure quantifies, normalised average horizontal external power was identified as the most appropriate, incorporating both block velocity and the time spent producing this velocity. The accuracy with which these data could be obtained in an externally valid field setting was assessed against force platform criterion data. For an athlete producing 678 ± 40 W of block power, a carefully set-up manual high-speed video analysis protocol produced systematic and random errors of +5 W and ± 24 W, respectively. Since the choice of performance measure could affect the conclusions drawn from a technique analysis, for example the success of an intervention, it is proposed that external power is used to quantify start performance.
机译:先前已经使用几种不同的方法对Sprint启动性能进行了量化。这项研究旨在确定不同的措施是否会影响一组12名短跑运动员的基于性能的排名,如果是,则确定最合适的措施。 10个绩效指标中没有一个以所有顺序将所有短跑运动员排名。 Spearman的rho相关系数在0.50到0.94之间,以及在块相位量度与在块出口之后获得的相位之间,从0.66到0.85。基于对每个量度的量化考虑,归一化的平均水平外部功率被认为是最合适的,并结合了块速度和产生该速度所花费的时间。根据力平台标准数据评估了在外部有效现场设置中获得这些数据的准确性。对于产生678±40 W块功率的运动员,精心设置的手动高速视频分析协议产生的系统误差和随机误差分别为+5 W和±24W。由于性能指标的选择可能会影响从技术分析得出的结论,例如干预的成功,因此建议使用外部电源来量化启动性能。

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