利用低采样惯性测量单元估计反向运动跳跃中的垂直跳跃高度:一种可替代动作捕捉和力平台的可行方法。
Vertical Jump Height Estimation Using Low-Sampling IMU in Countermovement Jumps: A Feasible Alternative to Motion Capture and Force Platforms.
作者信息
Villa Giacomo, Bonfiglio Alessandro, Galli Manuela, Cimolin Veronica
机构信息
Euleria srl Società Benefit, Via delle Zigherane, 4/A, 38068 Rovereto, Italy.
Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milano, Italy.
出版信息
Sensors (Basel). 2024 Dec 10;24(24):7877. doi: 10.3390/s24247877.
Vertical jump height from a countermovement jump is a widespread metric to assess the lower limb functionality. Motion capture systems and force platforms are considered gold standards to estimate vertical jump height; however, their use in ecological settings is limited. This study aimed to evaluate the feasibility of low-sampling-rate inertial measurement units as an alternative to the gold standard systems. The validity of three computational methods for IMU-based data-numerical double integration, takeoff velocity, and flight time-was assessed using data from 18 healthy participants who performed five double-leg and ten single-leg countermovement jumps. The data were simultaneously collected from a motion capture system, two force platforms, and an IMU positioned at the L5 level. The comparisons revealed that the numerical double integration method exhibited the highest correlation (0.87) and the lowest bias (2.5 cm) compared to the gold standards and excellent reliability (0.88). Although the takeoff velocity and flight time methods demonstrated comparable performances for double-leg jumps, their accuracy in single-leg jumps was reduced. Overall, the low-sampling-rate IMU with the numerical double integration method seems to be a reliable and feasible alternative for field-based countermovement jump assessment, warranting future investigation across diverse populations and jump modalities.
原地纵跳的垂直跳高度是评估下肢功能的一种广泛使用的指标。动作捕捉系统和测力平台被视为估算垂直跳高度的金标准;然而,它们在实际环境中的应用受到限制。本研究旨在评估低采样率惯性测量单元作为金标准系统替代方案的可行性。使用18名健康参与者的数据评估了三种基于惯性测量单元的数据计算方法——数值双重积分、起跳速度和飞行时间——的有效性,这些参与者进行了五次双腿和十次单腿原地纵跳。数据同时从动作捕捉系统、两个测力平台以及位于L5水平的惯性测量单元收集。比较结果显示,与金标准相比,数值双重积分方法表现出最高的相关性(0.87)和最低的偏差(2.5厘米),并且具有出色的可靠性(0.88)。尽管起跳速度和飞行时间方法在双腿跳中表现出可比的性能,但它们在单腿跳中的准确性有所降低。总体而言,采用数值双重积分方法的低采样率惯性测量单元似乎是基于现场的原地纵跳评估的一种可靠且可行的替代方案,值得未来针对不同人群和跳跃方式进行研究。