Run Signature 2.0: advancing our ability to quantify habitual motion path deviations

IF 2.7 Q2 ERGONOMICS
Jennifer Sumner, Evan M. Day, Kate Wagner, Jessica Thompson, Steffen Willwacher, Matthieu Trudeau
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Abstract

Run Signature is Brooks’ holistic approach to understanding the runner with the promise to provide optimised running gear based on their individual goals and biomechanical needs. Every individual has a habitual motion path (HMP) defined by their bone structure, ligament laxity, muscular strength, and injury history (Trudeau et al., 2019). The rationale behind the HMP as an injury paradigm is that moving away from your HMP will increase joint loading in non-adapted areas, potentially increasing injury risk. Therefore, it is advantageous to decrease one’s deviation from their HMP. One tool for reducing movement deviations while running is footwear. This has been biologically supported, with research showing reductions in cartilage volume loss after a run in a shoe that decreased HMP deviations (Willwacher et al., 2020). A method (Run Signature 1.0) was developed to quantify one’s individual HMP and how much their joints move differently between habitual movements and when running, referred to as a deviation (Trudeau et al., 2019). One limitation of this method was the use of a single movement, the shallow squat, to quantify someone’s HMP. A second limitation was the calculation of a deviation on the run from the habitual motion at a single point in time, the point of maximum knee flexion during the stance phase. While this first method was a pivotal moment in quantifying human movement on an individual basis, we strive to advance this method by (1) capturing more habitual movements, and (2) use more than a single timepoint to quantify deviations.
Run Signature 2.0:提高我们量化习惯性运动路径偏差的能力
Run Signature是Brooks了解跑步者的整体方法,承诺根据他们的个人目标和生物力学需求提供优化的跑步装备。每个人都有一个习惯性运动路径(HMP),由他们的骨骼结构、韧带松弛、肌肉力量和损伤史来定义(Trudeau等人,2019)。HMP作为一种损伤模式的基本原理是,离开HMP会增加不适应区域的关节负荷,可能会增加损伤风险。因此,减少对HMP的偏离是有利的。减少跑步时运动偏差的一种工具是鞋类。这在生物学上得到了支持,研究表明,在跑步后,软骨体积损失减少,从而减少了HMP偏差(Willwacher等人,2020)。开发了一种方法(Run Signature 1.0)来量化一个人的HMP,以及他们的关节在习惯性运动和跑步时的不同运动程度,称为偏差(Trudeau等人,2019)。这种方法的一个局限性是使用单一的动作,浅蹲,来量化某人的HMP。第二个限制是计算在单个时间点(站立阶段膝盖最大弯曲的点)跑步时与习惯动作的偏差。虽然第一种方法是在个体基础上量化人类运动的关键时刻,但我们努力通过(1)捕捉更多的习惯性运动,以及(2)使用多个时间点来量化偏差,来推进这种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Footwear Science
Footwear Science ERGONOMICS-
CiteScore
2.70
自引率
10.00%
发文量
16
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