Institute of Coaching and Performance, School of Sport and Health Sciences, University of Central Lancashire, Preston, UK.
Laboratory of Human Motricity, Expertise in Sports and Health, Faculty of Sports Science, Côte d'Azur University, Nice, France.
Sports Biomech. 2023 Sep;22(9):1192-1208. doi: 10.1080/14763141.2020.1792968. Epub 2020 Jul 31.
Radar technology has the potential for providing new insights into maximal horizontal deceleration ability. This study aimed to investigate the intra- and inter-day reliability and sensitivity of kinematic and kinetic variables obtained from a novel, maximal horizontal deceleration test, using radar technology. Thirty-eight university sport athletes completed testing for intra-day analysis. Twelve of these participants also completed the deceleration test on a second day for inter-day analysis. The maximal horizontal deceleration test required participants to decelerate maximally following 20 m maximal horizontal sprint acceleration. Reliability was assessed using the intraclass correlation coefficient (ICC) and coefficient of variation (CV%). Sensitivity was evaluated by comparing typical error (TE) to the smallest worthwhile change (SWC). A number of kinematic and kinetic variables had good (ICC > 0.75, CV < 10%) overall intra-day reliability, and were sensitive to detect small-to-moderate changes in deceleration performance after a single familiarisation session. Only kinetic variables had good overall inter-day reliability and were sensitive to detect moderate changes in deceleration performance. The utilisation of this test protocol to assess maximal horizontal deceleration can provide new insights into individual maximal horizontal deceleration capabilities. Future work using this or similar approaches may provide insights into the neuromuscular performance qualities needed to decelerate maximally.
雷达技术有可能为最大水平减速能力提供新的见解。本研究旨在使用雷达技术研究一种新的最大水平减速测试中运动学和动力学变量的日内和日间可靠性和敏感性。38 名大学运动员完成了日内分析的测试。其中 12 名参与者还在第二天完成了减速测试以进行日间分析。最大水平减速测试要求参与者在 20 米最大水平冲刺加速后最大程度地减速。可靠性使用组内相关系数(ICC)和变异系数(CV%)进行评估。敏感性通过将典型误差(TE)与最小有意义变化(SWC)进行比较来评估。许多运动学和动力学变量具有良好的日内总体可靠性(ICC>0.75,CV<10%),并且在单次适应训练后能够灵敏地检测减速性能的小到中等变化。只有动力学变量具有良好的日间总体可靠性,并且能够灵敏地检测减速性能的中等变化。该测试方案的使用可以为个体最大水平减速能力提供新的见解。未来使用这种或类似方法的工作可能会深入了解最大程度减速所需的神经肌肉性能质量。