School of Human Kinetics, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
Department of Mechanical Engineering, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
Sensors (Basel). 2021 Nov 19;21(22):7690. doi: 10.3390/s21227690.
Motor variability in gait is frequently linked to fall risk, yet field-based biomechanical joint evaluations are scarce. We evaluated the validity and sensitivity of an inertial measurement unit (IMU)-driven biomechanical model of joint angle variability for gait. Fourteen healthy young adults completed seven-minute trials of treadmill gait at several speeds and arm swing amplitudes. Trunk, pelvis, and lower-limb joint kinematics were estimated by IMU- and optoelectronic-based models using OpenSim. We calculated range of motion (ROM), magnitude of variability (meanSD), local dynamic stability (λ), persistence of ROM fluctuations (DFAα), and regularity (SaEn) of each angle over 200 continuous strides, and evaluated model accuracy (RMSD: root mean square difference), consistency (ICC: intraclass correlation), biases, limits of agreement, and sensitivity to within-participant gait responses (effects of speed and swing). RMSDs of joint angles were 1.7-9.2° (pooled mean of 4.8°), excluding ankle inversion. ICCs were mostly good to excellent in the primary plane of motion for ROM and in all planes for meanSD and λ, but were poor to moderate for DFAα and SaEn. Modelled speed and swing responses for ROM, meanSD, and λ were similar. Results suggest that the IMU-driven model is valid and sensitive for field-based assessments of joint angle time series, ROM in the primary plane of motion, magnitude of variability, and local dynamic stability.
步态运动的可变性通常与跌倒风险相关,但基于现场的生物力学关节评估却很少。我们评估了基于惯性测量单元 (IMU) 的关节角度可变性生物力学模型在步态中的有效性和敏感性。14 名健康的年轻成年人在不同速度和手臂摆动幅度下完成了 7 分钟的跑步机行走试验。使用 OpenSim 通过基于 IMU 和光电的模型来估计躯干、骨盆和下肢关节运动学。我们计算了每个角度在 200 个连续步中的运动范围 (ROM)、变异性幅度 (均值 ± 标准差)、局部动态稳定性 (λ)、ROM 波动的持久性 (DFAα) 和规律性 (SaEn),并评估了模型的准确性 (RMSD:均方根差)、一致性 (ICC:组内相关)、偏差、协议范围和对个体内步态反应的敏感性 (速度和摆动的影响)。关节角度的 RMSD 为 1.7-9.2°(4.8°的平均值),不包括踝关节内翻。ROM 的主要运动平面和所有平面的 ICC 均为良好到极好,而 DFAα 和 SaEn 的 ICC 则较差到中等。模型化的 ROM、均值 ± 标准差和 λ 的速度和摆动响应相似。结果表明,基于 IMU 的模型对于基于现场的关节角度时间序列、主要运动平面中的 ROM、变异性幅度和局部动态稳定性的评估是有效和敏感的。