Department of Physical Education, Sport and Human Movement, Autonomous University of Madrid, Madrid, Spain.
Department of Physical Therapy - Program in Exercise Science, Marquette University, Milwaukee, USA.
J Sports Sci. 2020 Mar;38(6):710-716. doi: 10.1080/02640414.2020.1729453. Epub 2020 Feb 21.
The purpose of this study was to investigate the validity of a smartphone app to measure biomechanical barbell parameters during the snatch. Ten collegiate NCAA division I athletes performed two repetitions each at 40, 50, 60, 70, and 80% of their 1-repetition maximum snatch. Barbell motions were simultaneously recorded with a motion capture system and the smartphone app. The motion capture system recorded the 3-D position of a reflective marker attached to the end of the barbell while the smartphone app was used to record sagittal plane video and track the shape of the weight plate from which the barbell center was derived. Peak forward (PFD) and backward (PBD) displacements and peak vertical displacement (PVD) and velocity (PVV) were calculated from both sets of data. Significant, strong to very strong Pearson's product-moment correlation coefficients between both systems were noted for all parameters ( = 0.729-0.902, all < 0.001). Small significant biases between systems were observed for PVD (ES = 0.284, < 0.001) and PFD (ES=0.340, < 0.01), while trivial to small, non-significant biases were observed for PBD (ES = 0.143) and PVV (ES = -0.100). Collectively, the results suggest that the app can provide biomechanical data of barbell motions similar to a 3-D motion capture system.
本研究旨在探讨一种智能手机应用程序在测量抓举中杠铃生物力学参数的有效性。十位大学生运动员在 40%、50%、60%、70%和 80%的 1 次重复最大抓举重量下，各完成两次重复。杠铃运动通过运动捕捉系统和智能手机应用程序同时记录。运动捕捉系统记录了附在杠铃末端的反光标记的 3D 位置，而智能手机应用程序则用于记录矢状面视频并跟踪杠铃中心所在的重量盘的形状。从两组数据中计算出峰值前向位移（PFD）和后向位移（PBD）以及峰值垂直位移（PVD）和速度（PVV）。两个系统的所有参数之间都有显著的、强到极强的皮尔逊积差相关系数（ = 0.729-0.902，所有 P < 0.001）。系统之间的 PVD（ES = 0.284， P < 0.001）和 PFD（ES = 0.340， P < 0.01）存在小的显著偏差，而 PBD（ES = 0.143）和 PVV（ES = -0.100）存在微不足道到小的非显著偏差。总体而言，结果表明该应用程序可以提供类似于 3D 运动捕捉系统的杠铃运动生物力学数据。
