Hollis Christina R, Koldenhoven Rachel M, Resch Jacob E, Hertel Jay
Department of Athletics, Bentley University, Waltham, MA, USA.
Department of Kinesiology, University of Virginia, Charlottesville, VA, USA.
Sports Biomech. 2021 Aug;20(5):521-531. doi: 10.1080/14763141.2019.1579366. Epub 2019 Mar 7.
Running biomechanics research has traditionally occurred in the laboratory, but with the advent of wearable sensors measurement of running biomechanics may shift outside the laboratory. The purpose was to determine if RunScribe™ wearable sensors could detect differences in kinematic, kinetic and spatiotemporal measures during runs at two speeds and on two different surfaces. Fifteen recreational runners (7 males, 8 females; age = 20.0 ± 3.1 years) participated. While wearing sensors on the heels of their shoes, participants completed four 1600 m runs on both track and grass surfaces. On each surface, the first 1600 m was at a self-selected slow speed followed by the second 1600 m at a self-selected fast pace. The sensors quantified several kinetic, kinematic and spatiotemporal measures. Repeated measures ANOVAs compared the effects of surface and speed. The spatiotemporal measures of stride length, cycle time and contact time were predictably affected by increased running speed and increased surface stiffness, as were the kinematic and kinetic measurements of maximum pronation velocity, maximum pronation excursion, impact g, and braking g (p < 0.050). The RunScribe™ sensors identified expected changes in running biomechanics measures at different speeds and on varying surfaces.
传统上，跑步生物力学研究是在实验室中进行的，但随着可穿戴传感器的出现，跑步生物力学的测量可能会转移到实验室之外。目的是确定RunScribe™可穿戴传感器是否能够检测出在两种速度和两种不同表面上跑步时运动学、动力学和时空测量方面的差异。15名休闲跑步者（7名男性，8名女性；年龄 = 20.0 ± 3.1岁）参与了研究。参与者在鞋跟处佩戴传感器，在跑道和草地表面各完成4次1600米的跑步。在每个表面上，前1600米以自我选择的慢速进行，随后的1600米以自我选择的快速进行。传感器对多种动力学、运动学和时空测量进行了量化。重复测量方差分析比较了表面和速度的影响。步幅长度、周期时间和接触时间的时空测量结果不出所料地受到跑步速度增加和表面硬度增加的影响，最大内旋速度、最大内旋偏移、冲击g和制动g的运动学和动力学测量结果也是如此（p < 0.050）。RunScribe™传感器识别出了在不同速度和不同表面上跑步生物力学测量的预期变化。
