A robust technique for optimal fitting of roll-over shapes of human locomotor systems.
A robust technique for optimal fitting of roll-over shapes of human locomotor systems.
复制标题
一种用于最佳拟合人类运动系统翻转形状的稳健技术。
DOI：
10.1016/j.medengphy.2022.103756
复制
发表时间：
2022-03
影响因子：
2.2
通讯作者：
Myers SA
中科院分区：
文献类型：
--
作者：
Bapat GM;Myers SA
翻转形状（ROS）有效地表征了人类行走的单肢支撑阶段期间下肢向前滚动的能力。ROS被建模为一个最佳拟合的圆弧的中心压力（CoP）的数据转换在小腿/腿为基础的本地坐标系。用于ROS的最佳拟合的常用方法实施起来很复杂，并且消除了行走期间ROS参数的固有个体变异性。我们提出并验证了一种新的计算机化的方法，在行走过程中的下肢翻转形状的最佳拟合。使用Winter的书中的健康个体的步态数据，使用所提出的方法生成踝-足和膝-踝-足翻转形状。两种翻转形状的拟合优度和形式均通过文献进行了验证。为了测试所提出的技术的鲁棒性，小的随机扰动被引入到转换的CoP数据和ROS参数的数据中的这些小的变化的影响进行了研究。ROS参数，如半径，弧长，对向弧角，水平和垂直位移在弧中心没有实质性的变化与小的变化，在CoP数据。该方法计算效率高，易于实现ROS的最佳拟合和表征。
The roll-over shape (ROS) effectively characterizes the lower limb’s ability to roll forward during the single-limb support phase of human walking. ROS is modelled as an optimally fitted circular arc to the center of pressure (CoP) data transformed in the shank/leg-based local coordinate system. The commonly used method for optimal fitting of ROS is complex to implement and eliminates inherent individual variability in the ROS parameters during walking. We propose and validate a novel computerized method for optimal fitting of roll-over shapes of the lower limb during walking. Gait data of a healthy individual from Winter’s book was used to generate ankle-foot and knee-ankle-foot roll-over shapes using the proposed method. The goodness of fit and form of both the roll-over shapes were validated with the literature. To test the robustness of the proposed technique, small random perturbations were introduced to the transformed CoP data and the effect of these small changes in the data on the ROS parameters was studied. The ROS parameters such as radius, arc length, subtended arc angle, and horizontal and vertical shift in the arc center did not change substantially with small changes in the CoP data. The proposed method is computationally efficient, and easy to implement for optimal fitting and characterization of ROS.
登录
查看更多内容
影响因子：
2.4
作者：
Ehrig, Rainald M.;Taylor, William R.;Heller, Markus O.
通讯作者：
Heller, Markus O.
影响因子：
2.2
作者：
Balaramakrishnan, T. M.;Natarajan, S.;Sujatha, S.
通讯作者：
Sujatha, S.
DOI：
10.1682/jrrd.2003.06.0098
发表时间：
2004-07-01
影响因子：
--
作者：
Hansen, AH;Childress, DS
通讯作者：
Childress, DS
影响因子：
2.9
作者：
Forghany, Saeed;Nester, Christopher J.;Richards, Barry
通讯作者：
Richards, Barry
DOI：
10.1682/jrrd.2010.01.0003
发表时间：
2010-01-01
影响因子：
--
作者：
Klodd, Elizabeth;Hansen, Andrew;Edwards, Mark
通讯作者：
Edwards, Mark