Department of Mechanical and Process Engineering, Offenburg University of Applied Sciences, Badstraße 24, 77652, Offenburg, Germany.
Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany.
Sci Rep. 2021 Jan 26;11(1):2244. doi: 10.1038/s41598-021-81951-9.
Treadmills are essential to the study of human and animal locomotion as well as for applied diagnostics in both sports and medicine. The quantification of relevant biomechanical and physiological variables requires a precise regulation of treadmill belt velocity (TBV). Here, we present a novel method for time-efficient tracking of TBV using standard 3D motion capture technology. Further, we analyzed TBV fluctuations of four different treadmills as seven participants walked and ran at target speeds ranging from 1.0 to 4.5 m/s. Using the novel method, we show that TBV regulation differs between treadmill types, and that certain features of TBV regulation are affected by the subjects' body mass and their locomotion speed. With higher body mass, the TBV reductions in the braking phase of stance became higher, even though this relationship differed between locomotion speeds and treadmill type (significant body mass × speed × treadmill type interaction). Average belt speeds varied between about 98 and 103% of the target speed. For three of the four treadmills, TBV reduction during the stance phase of running was more intense (> 5% target speed) and occurred earlier (before 50% of stance phase) unlike the typical overground center of mass velocity patterns reported in the literature. Overall, the results of this study emphasize the importance of monitoring TBV during locomotor research and applied diagnostics. We provide a novel method that is freely accessible on Matlab's file exchange server ("getBeltVelocity.m") allowing TBV tracking to become standard practice in locomotion research.
跑步机对于研究人类和动物的运动以及运动医学和临床医学中的应用诊断都非常重要。相关生物力学和生理学变量的量化需要精确调节跑步机履带速度(TBV)。在这里,我们提出了一种使用标准 3D 运动捕捉技术进行高效 TBV 跟踪的新方法。此外,我们分析了 7 名参与者以 1.0 到 4.5 m/s 的目标速度行走和跑步时,四种不同跑步机的 TBV 波动。使用新方法,我们发现跑步机类型之间的 TBV 调节存在差异,并且 TBV 调节的某些特征受到受试者体重和运动速度的影响。体重越高,站立阶段的 TBV 减少量越大,尽管这种关系因运动速度和跑步机类型而异(显著的体重×速度×跑步机类型交互作用)。平均履带速度在目标速度的约 98%到 103%之间变化。对于四种跑步机中的三种,跑步时的站立阶段 TBV 减少更为剧烈(超过目标速度的 5%),而且发生得更早(在站立阶段的 50%之前),与文献中报道的典型地面质心速度模式不同。总体而言,这项研究的结果强调了在运动研究和应用诊断中监测 TBV 的重要性。我们提供了一种新的方法,该方法可在 Matlab 的文件交换服务器上免费获取(“getBeltVelocity.m”),允许 TBV 跟踪成为运动研究中的标准实践。