Federal University of ABC, Neuroscience and Biomedical Engineering Programs, São Bernardo do Campo, São Paulo, Brazil.
Federal University of ABC, Neuroscience and Biomedical Engineering Programs, São Bernardo do Campo, São Paulo, Brazil.
Gait Posture. 2019 Sep;73:269-272. doi: 10.1016/j.gaitpost.2019.07.500. Epub 2019 Aug 1.
Minimum and maximum values of gait kinematics and kinetics data are commonly used to quantitatively describe a walking pattern.
The purposes of this study were to determine the effect of speed on the minimum and maximum values of gait kinematics and kinetics variables and to test two prediction methods for the estimation of these minimum and maximum values at different gait speeds.
An open dataset with the data of 24 healthy adults (age: 27.6 ± 4.4 years, height: 171.1 ± 10.5 cm, body mass: 68.4 ± 12.2 kg) walking on a treadmill at eight gait speeds was employed in this study. The minimum and maximum angles and moments of the hip, knee, and ankle joints were extracted from speed-dependent prediction curves solely for the minimum and maximum values (PEAK method) and from speed-dependent prediction curves for the entire gait cycle (CYCLE method). The overall error, computed as the root-mean-square error (RMSE), for the minimum and maximum values predicted by these two methods were compared with the experimental true values.
The RMSEs for the joint angles were PEAK: 3.86 ± 1.21°, CYCLE: 3.88 ± 1.18° and for the joint moments were PEAK: 0.129 ± 0.052 Nm/kg, CYCLE: 0.131 ± 0.052 Nm/kg.
The two prediction methods tested can be used to estimate the minimum and maximum values of biomechanical gait variables at a certain speed.
运动学和动力学数据的最小值和最大值通常用于定量描述步态模式。
本研究的目的是确定速度对步态运动学和动力学变量的最小值和最大值的影响，并测试两种预测方法，以估计不同步态速度下这些最小值和最大值。
本研究使用了一个包含 24 名健康成年人（年龄：27.6±4.4 岁，身高：171.1±10.5cm，体重：68.4±12.2kg）在跑步机上以 8 种速度行走的开放数据集。从仅针对最小值和最大值的速度相关预测曲线（PEAK 方法）和整个步态周期的速度相关预测曲线（CYCLE 方法）中提取髋关节、膝关节和踝关节的最小和最大角度和力矩。这两种方法预测的最小和最大值的整体误差，计算为均方根误差（RMSE），与实验真实值进行比较。
关节角度的 RMSE 为 PEAK：3.86±1.21°，CYCLE：3.88±1.18°，关节力矩的 RMSE 为 PEAK：0.129±0.052 Nm/kg，CYCLE：0.131±0.052 Nm/kg。
测试的两种预测方法可用于估计特定速度下生物力学步态变量的最小值和最大值。
