Balsalobre-Fernández Carlos, Varela-Olalla Daniel
Applied Biomechanics and Sport Technology Research Group, Autonomous University of Madrid, 28049 Madrid, Spain.
Sensors (Basel). 2024 Dec 10;24(24):7897. doi: 10.3390/s24247897.
The countermovement jump (CMJ) is a widely used test to assess lower body neuromuscular performance. This study aims to analyze the validity and reliability of an iOS application using artificial intelligence to measure CMJ height, force, velocity, and power in unloaded and loaded conditions. Twelve physically active participants performed 12 CMJs with external loads ranging from 0% to 70% of their body mass while being simultaneously monitored with a pair of force platforms and the My Jump Lab application. The scores for jump height, mean propulsive force, velocity, and power between devices were compared for validity and reliability purposes. The force platform and the application showed a high association (r > 0.91, < 0.05) for measuring CMJ height, force, velocity, and power. Small and no statistically significant differences ( < 0.05) were observed in most loading conditions. Both instruments showed high reliability (Cronbach's α > 0.93, Coefficient of variation < 6%) for measuring the different trials performed by each participant. The My Jump Lab application was shown to be valid and reliable for measuring CMJ height, force, velocity, and power in both loaded and unloaded jumps, eliminating the problems associated with the cost and portability of force plates for daily practice.
反向纵跳（CMJ）是一种广泛用于评估下肢神经肌肉性能的测试。本研究旨在分析一款使用人工智能的iOS应用程序在无负荷和有负荷条件下测量CMJ高度、力量、速度和功率的有效性和可靠性。12名身体活跃的参与者进行了12次CMJ，外部负荷范围为其体重的0%至70%，同时使用一对测力平台和My Jump Lab应用程序进行监测。为了验证有效性和可靠性，比较了不同设备之间的跳跃高度、平均推进力、速度和功率得分。测力平台和该应用程序在测量CMJ高度、力量、速度和功率方面显示出高度相关性（r>0.91，<0.05）。在大多数负荷条件下，观察到的差异较小且无统计学意义（<0.05）。两种仪器在测量每个参与者进行的不同试验时均显示出高可靠性（Cronbach'sα>0.93，变异系数<6%）。My Jump Lab应用程序在测量有负荷和无负荷跳跃的CMJ高度、力量、速度和功率方面被证明是有效且可靠的，消除了日常实践中与测力板的成本和便携性相关的问题。
