Gonjo Tomohiro, Veiga Santiago, Hermosilla-Perona Francisco, Olstad Bjørn Harald
School of Energy, Geoscience, Infrastructure and Society, Institute for Life and Earth Sciences, Heriot-Watt University, Edinburgh, UK.
Department of Physical Performance, Norwegian School of Sport Sciences, Oslo, Norway.
Sci Rep. 2025 Jul 2;15(1):23640. doi: 10.1038/s41598-025-08519-9.
The purpose of this study was to identify intra- and inter-individual variabilities during short course 50 m sprints. Swimming velocity (SV), stroke frequency (SF), and stroke length (SL) for each stroke cycle in 189 male and 160 female swimmers' 50 m time trials (with their specialised stroke) were analysed. The inter-individual variability for each kinematic variable was analysed using the inter-individual standard deviation of the Gaussian Process regression. Intra-participant variability was analysed using k-means clustering with kinematic data extracted from the first, mid-, and last strokes. In all strokes and both sexes, swimmers showed large inter-individual kinematic variabilities at the first and last strokes, which justified the need to separate these strokes from the clean-swimming segment in race analyses. Intra-individual kinematic patterns were categorised into four clusters with different within-lap SV patterns. Particularly, many front crawl and backstroke swimmers showed a faster velocity in mid-pool than in the transition, while many butterfly swimmers showed the fastest SV in the transition. This might suggest a greater difficulty in the transition technique in alternating strokes than in butterfly. Race analyses should focus on not only the overall trend but also individual variabilities to investigate the swimmers' behaviour during swimming races.
本研究的目的是确定短距离50米冲刺过程中的个体内和个体间变异性。分析了189名男性和160名女性游泳运动员在50米计时赛(采用其特定泳姿)中每个划水周期的游泳速度(SV)、划频(SF)和划幅(SL)。使用高斯过程回归的个体间标准差分析每个运动学变量的个体间变异性。使用k均值聚类分析个体内变异性,从第一、中间和最后划水提取运动学数据。在所有划水和两性中,游泳运动员在第一和最后划水时表现出较大的个体间运动学变异性,这证明在比赛分析中需要将这些划水与清晰游泳段区分开来。个体内运动学模式被分为四个具有不同单圈SV模式的聚类。特别是,许多自由泳和仰泳运动员在泳池中间的速度比转身时快,而许多蝶泳运动员在转身时的SV最快。这可能表明交替划水的转身技术比蝶泳更具难度。比赛分析不仅应关注总体趋势,还应关注个体变异性,以研究游泳运动员在游泳比赛中的表现。