Falbriard Mathieu, Meyer Frédéric, Mariani Benoit, Millet Grégoire P, Aminian Kamiar
Laboratory of Movement Analysis and Measurement, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland.
Front Physiol. 2018 Jun 12;9:610. doi: 10.3389/fphys.2018.00610. eCollection 2018.
The aim of this study was to assess the performance of different kinematic features measured by foot-worn inertial sensors for detecting running gait temporal events (e.g., initial contact, terminal contact) in order to estimate inner-stride phases duration (e.g., contact time, flight time, swing time, step time). Forty-one healthy adults ran multiple trials on an instrumented treadmill while wearing one inertial measurement unit on the dorsum of each foot. Different algorithms for the detection of initial contact and terminal contact were proposed, evaluated and compared with a reference-threshold on the vertical ground reaction force. The minimum of the pitch angular velocity within the first and second half of a mid-swing to mid-swing cycle were identified as the most precise features for initial and terminal contact detection with an inter-trial median ± IQR precision of 2 ± 1 ms and 4 ± 2 ms respectively. Using these initial and terminal contact features, this study showed that the ground contact time, flight time, step and swing time can be estimated with an inter-trial median ± IQR bias less than 12 ± 10 ms and the a precision less than 4 ± 3 ms. Finally, this study showed that the running speed can significantly affect the biases of the estimations, suggesting that a speed-dependent correction should be applied to improve the system's accuracy.
本研究的目的是评估通过足部惯性传感器测量的不同运动学特征在检测跑步步态时间事件(如初始接触、末端接触)方面的性能,以便估计步幅内各阶段的持续时间(如接触时间、腾空时间、摆动时间、步长时间)。41名健康成年人在装有仪器的跑步机上进行了多次试验,每只脚的足背佩戴一个惯性测量单元。提出了用于检测初始接触和末端接触的不同算法,并与垂直地面反作用力的参考阈值进行了评估和比较。在一个摆动中期到摆动中期周期的前半段和后半段内,俯仰角速度的最小值被确定为用于初始和末端接触检测的最精确特征,试验间中位数±四分位间距精度分别为2±1毫秒和4±2毫秒。利用这些初始和末端接触特征,本研究表明,地面接触时间、腾空时间、步长和摆动时间可以在试验间中位数±四分位间距偏差小于12±10毫秒且精度小于4±3毫秒的情况下进行估计。最后,本研究表明,跑步速度会显著影响估计的偏差,这表明应应用速度依赖校正来提高系统的准确性。