Koska Daniel, Gaudel Jasmin, Hein Tobias, Maiwald Christian
Department of Food and Nutrition, and Sports Science, University of Gothenburg, Sweden PO Box 300, SE405 30 Göteborg, Läroverksgatan 7, 411 20 Göteborg, Sweden; Institute of Human Movement Science and Health, Department of Research Methodology and Data Analysis, Technische Universität Chemnitz, Germany.
Institute of Human Movement Science and Health, Department of Research Methodology and Data Analysis, Technische Universität Chemnitz, Germany.
Gait Posture. 2018 Jul;64:135-140. doi: 10.1016/j.gaitpost.2018.06.007. Epub 2018 Jun 9.
The popular protocol used to study running motion suffers from problems that lead to a limited ability to generalize the obtained results. Inertial measurement units (IMU) appear to be promising in increasing ecological validity of the collected data. However, quantifying running kinematics utilizing IMU signals is complex and potentially affected by several well-established and less well-known errors.
The purpose of this study was to examine the validity of kinematic variables obtained from a single, shoe-mounted IMU using an opto-electronic motion analysis reference system.
51 recreational runners were analyzed, performing a single continuous run at three different speeds (10, 12, 15 km/h) on a treadmill. Descriptive statistics (Bland & Altman analysis, box plots, scatter plots) were employed to analyze the agreement between the two instruments.
The findings of this study revealed considerable systematic and large random disagreement, which, in turn, is characterized by substantial inter-individual differences in the error distribution. These discrepancies may partly be explained by differences in foot strike behavior, resulting in varying degrees of vibration impact acting on the IMU.
Advances in IMU technology, as well as exploring new application approaches and signal processing strategies, might enhance the usability of IMUs in analyzing running kinematics.
用于研究跑步运动的常用方案存在一些问题,导致所获结果的推广能力有限。惯性测量单元(IMU)似乎有望提高所收集数据的生态效度。然而,利用IMU信号量化跑步运动学很复杂,并且可能受到一些已明确和不太知名的误差影响。
本研究的目的是使用光电运动分析参考系统检验从单个安装在鞋子上的IMU获得的运动学变量的效度。
对51名休闲跑步者进行分析,他们在跑步机上以三种不同速度(10、12、15公里/小时)进行单次连续跑步。采用描述性统计(布兰德-奥特曼分析、箱线图、散点图)来分析两种仪器之间的一致性。
本研究结果显示出相当大的系统误差和较大的随机误差,反过来,其特点是误差分布存在显著的个体间差异。这些差异部分可能由着地方式的不同来解释,这导致作用于IMU的振动冲击程度不同。
IMU技术的进步以及探索新的应用方法和信号处理策略,可能会提高IMU在分析跑步运动学方面的实用性。