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首页> 外文期刊>Neural Systems and Rehabilitation Engineering, IEEE Transactions on >Estimation of 2-D Center of Mass Movement During Trunk Flexion–Extension Movements Using Body Accelerations
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Estimation of 2-D Center of Mass Movement During Trunk Flexion–Extension Movements Using Body Accelerations

机译:利用身体加速度估算躯干屈伸运动中的二维质心运动

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摘要

Motions of the center of body mass (COM) and body segment acceleration signals are commonly used to indicate movement performance and stability during standing activities. The COM trajectory is usually calculated by video motion analysis, which has a time consuming setup and also is not readily available in all clinical settings. In this paper, we present a novel method to estimate the COM trajectory from the upper and lower limb accelerations, based on experimental data. We have modeled the relationships that exist between the 2-D hip and trunk acceleration data with the 2-D COM trajectory in the sagittal plane, during four trunk flexion–extension movement tasks and estimated the COM trajectory based on that model. The model accounted for between 93 $pm$ 9% to 97 $pm$ 3% of the resultant COM trajectory's variability, depending on the task. This corresponded to a range of absolute error between the true and estimated COM trajectories of 0.65 $pm$ 0.62 to 1.07 $pm$ 1.13 cm. The advantage of this model compared to our previous work on COM trajectory estimation is that it does not require any calibration and provides a reasonably accurate estimation of the COM trajectory, which can be used to study human balance performance in any clinical setting.
机译:体重中心(COM)的运动和人体节段加速度信号通常用于指示站立活动期间的运动表现和稳定性。 COM轨迹通常是通过视频运动分析来计算的,它具有耗时的设置,而且并非在所有临床环境中都容易获得。在本文中,我们基于实验数据提出了一种从上肢和下肢加速度估算COM轨迹的新颖方法。在四个躯干屈伸运动任务期间,我们用矢状面中的二维COM轨迹对2-D髋关节和躯干加速度数据之间存在的关系进行了建模,并基于该模型估算了COM轨迹。该模型占最终COM轨迹可变性的93 $ pm $ 9%到97 $ pm $ 3%之间,具体取决于任务。这对应于真实的和估计的COM轨迹之间的绝对误差范围0.65μm/μm0.62至1.07μm/μm1.13cm。与我们先前关于COM轨迹估计的工作相比,该模型的优势在于它不需要任何校准,并且可以对COM轨迹提供合理准确的估计,可用于研究在任何临床情况下的人体平衡表现。

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