Estimating Center of Mass Kinematics During Perturbed Human Standing Using Accelerometers

Estimating Center of Mass Kinematics During Perturbed Human Standing Using Accelerometers
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使用加速度计估计人体站立扰动期间的质量运动中心

DOI:
10.1123/jab.2020-0222
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发表时间:
2021
影响因子:
1.4
通讯作者:
Quinn, Roger D.
Quinn, Roger D.
中科院分区:
工程技术4区
文献类型:
--
作者:
Hnat, Sandra K.;Audu, Musa L.;Triolo, Ronald J.;Quinn, Roger D.

文献摘要

相似文献

通过传感器测量来估计质心(COM),以保持外骨骼的行走和站立稳定性。作者提出了一种通过人工神经网络估计COM运动学的方法,该方法通过最小化由金标准运动捕获系统测量的COM位移与从身体安装的加速度计记录的加速度信号之间的均方误差来训练。共有5名身体健全的参与者在站立过程中不稳定:(1)由拉腰部的4个线性致动器引起的意外扰动和(2)有意识地移动架子上的配重罐。每种运动类型在所有参与者中平均。该算法的性能进行了量化的均方根误差和决定系数(R2)计算从整个试验和在每个扰动类型。在整个试验和运动类型中,平均决定系数为0.83,89%的运动R2> 0.70,而平均均方根误差范围在7.3%和22.0%之间,对应于冠状面和矢状面的0.5和0.94 cm误差。COM可以在真实的时间内估计,用于脊髓损伤个体的外骨骼的平衡控制,并且该过程可以推广到其他步态研究。
Estimating center of mass (COM) through sensor measurements is done to maintain walking and standing stability with exoskeletons. The authors present a method for estimating COM kinematics through an artificial neural network, which was trained by minimizing the mean squared error between COM displacements measured by a gold-standard motion capture system and recorded acceleration signals from body-mounted accelerometers. A total of 5 able-bodied participants were destabilized during standing through: (1) unexpected perturbations caused by 4 linear actuators pulling on the waist and (2) volitionally moving weighted jars on a shelf. Each movement type was averaged across all participants. The algorithm’s performance was quantified by the root mean square error and coefficient of determination (R2) calculated from both the entire trial and during each perturbation type. Throughout the trials and movement types, the average coefficient of determination was 0.83, with 89% of the movements withR2> .70, while the average root mean square error ranged between 7.3% and 22.0%, corresponding to 0.5- and 0.94-cm error in both the coronal and sagittal planes. COM can be estimated in real time for balance control of exoskeletons for individuals with a spinal cord injury, and the procedure can be generalized for other gait studies.