Faculty of Sport and Health Sciences, Neuromuscular Research Center, University of Jyväskylä, Jyväskylä, Finland.
Scand J Med Sci Sports. 2020 Jan;30(1):38-45. doi: 10.1111/sms.13546. Epub 2019 Sep 18.
Jump performance provides meaningful information both for sporting and clinical needs. Current state of the art in jump performance assessment is laboratory-bound; however, out-of-the-laboratory methods are desirable. Therefore, the purposes of the present investigation were (a) to explore whether utilizing a novel analytical approach minimizes the bias between inertial recording unit (IMU)-based and jump mat-based jump height estimates and (b) to provide a thorough tutorial for a sport scientist (see Appendix S1) to facilitate standardization of jump height estimation. Forty-one women, men, and boys aged 6 to 77 years completed three maximal countermovement jumps without arm swing, which were concurrently registered with a jump mat, and an IMU worn in low lumbar region. Excellent agreement between the novel IMU-based jump height and jump mat jump height was observed (mean IMU 22.6 [8.3] cm, mean jump mat 22.7 [8.9], mean bias -0.1 cm [95% limits of agreement -4.5 cm to 4.4 cm; P = .826], and intra-class correlation coefficient 0.97 [95% CI 0.94 to 0.98, P < .001]). In conclusion, inertial recordings conducted with lightweight IMUs worn on the hip provide a valid and feasible assessment of jump height among people with varying athletic ability. Inertial signals have the potential to afford (at least semi-) automated analysis pipeline with low labor cost thus being potentially feasible in applied settings such as in professional sports or in the clinics.
跳跃表现为运动和临床需求提供了有意义的信息。目前,跳跃表现评估的最新技术是在实验室中进行的;然而,人们希望使用实验室外的方法。因此,本研究的目的是:(a) 探索利用新的分析方法是否可以最小化基于惯性记录单元 (IMU) 和跳跃垫的跳跃高度估计之间的偏差;(b) 为体育科学家提供一个全面的教程(见附录 S1),以促进跳跃高度估计的标准化。41 名年龄在 6 至 77 岁的女性、男性和男孩完成了三次无手臂摆动的最大反跳,同时用跳跃垫和穿在腰部以下的 IMU 进行了记录。新的基于 IMU 的跳跃高度与跳跃垫跳跃高度之间观察到极好的一致性(平均 IMU 为 22.6 [8.3] cm,平均跳跃垫为 22.7 [8.9] cm,平均偏差为 0.1 cm [95%置信区间为-4.5 cm 至 4.4 cm;P =.826],组内相关系数为 0.97 [95%置信区间为 0.94 至 0.98,P <.001])。总之,穿在臀部的轻便 IMU 进行的惯性记录为具有不同运动能力的人提供了一种有效且可行的跳跃高度评估方法。惯性信号有可能提供(至少半)自动化的分析管道,劳动力成本低,因此在应用环境中(如职业运动或临床)具有潜在的可行性。