Faculty of Health Sciences, The University of Sydney, Lidcombe, NSW, Australia.
New South Wales, Institute of Sport, Australia.
Sports Biomech. 2023 Feb;22(2):268-281. doi: 10.1080/14763141.2022.2062439. Epub 2022 May 24.
Springboard diving training is often focused upon skill repetition to establish movement accuracy, stability and consistency. Within-participant study designs provide the ability to understand how individuals create these skills under different movement strategies. IMUs measured angular velocity time-series data of two athletes performing multiple repetitions of forward 3½ somersault pike dives. Functional Principal Component Analyses (PCA) were performed to examine individual movement structure and variability. The first five PC's represented approximately 98% of the variability in angular velocity for both divers. To determine the relative importance of angular velocity variability, Pearson's correlations for pairwise comparisons were used to assess the relationship between PC scores and discrete performance variables during takeoff, flight and entry. Divers exhibited a different number and types of significant correlations (International = 4; National = 11). Only one correlation was common for both divers; higher angular velocity during Initial Flight and/or Somersault phases resulted in more vertically aligned entry posture (International: PC1 < 0.05; National: PC3 < 0.01). Findings identify individualised angular velocity time-series structure and kinematic performance variables (International = angular; National = linear) that can be used by coaching/sport science teams to optimisation performance success.
跳板跳水训练通常侧重于技能重复,以建立运动的准确性、稳定性和一致性。个体内研究设计使我们能够了解个体在不同运动策略下如何创造这些技能。本研究使用惯性测量单元(IMU)测量了两名运动员进行多次向前 3 ½ 周屈体跳水的角速度时间序列数据。采用功能主成分分析(PCA)来检查个体运动结构和变异性。前五个主成分代表了两个运动员角速度变异性的约 98%。为了确定角速度变异性的相对重要性,使用皮尔逊相关系数进行了成对比较,以评估起飞、飞行和入水阶段的 PC 分数与离散性能变量之间的关系。运动员表现出不同数量和类型的显著相关性(国际=4;国家=11)。只有一个相关性对两个运动员都适用;初始飞行和/或翻转阶段的角速度较高会导致更垂直的入水姿势(国际:PC1<0.05;国家:PC3<0.01)。研究结果确定了个体的角速度时间序列结构和运动学性能变量(国际=角速度;国家=线性),教练/运动科学团队可以使用这些变量来优化表现。