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建立直线和曲线轨迹下手动轮椅推进成本的模型。

Modeling manual wheelchair propulsion cost during straight and curvilinear trajectories.

机构信息

Rehabilitation Engineering and Applied Research Laboratory, Georgia Institute of Technology, Atlanta, Georgia, United States of America.

School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America.

出版信息

PLoS One. 2020 Jun 18;15(6):e0234742. doi: 10.1371/journal.pone.0234742. eCollection 2020.

Abstract

Minimizing the effort to propel a manual wheelchair is important to all users in order to optimize the efficiency of maneuvering throughout the day. Assessing the propulsion cost of wheelchairs as a mechanical system is a key aspect of understanding the influences of wheelchair design and configuration. The objective of this study was to model the relationships between inertial and energy-loss parameters to the mechanical propulsion cost across different wheelchair configurations during straight and curvilinear trajectories. Inertial parameters of an occupied wheelchair and energy loss parameters of drive wheels and casters were entered into regression models representing three different maneuvers. A wheelchair-propelling robot was used to measure propulsion cost. General linear models showed strong relationships (R2 > 0.84) between the system-level costs of propulsion and the selected predictor variables representing sources of energy loss and inertial influences. System energy loss parameters were significant predictors in all three maneuvers. Yaw inertia was also a significant predictor during zero-radius turns. The results indicate that simple energy loss measurements can predict system-level performance, and inertial influences are mostly overshadowed by the increased resistive losses caused by added mass, though weight distribution can mitigate some of this added cost.

摘要

为了优化全天的操纵效率,减轻手动轮椅的推动力度对所有使用者都很重要。评估轮椅作为机械系统的推进成本是了解轮椅设计和配置影响的关键方面。本研究的目的是建立模型,以研究在直线路径和曲线轨迹下不同轮椅配置的惯性和能量损耗参数与机械推进成本之间的关系。将占用轮椅的惯性参数和驱动轮及脚轮的能量损耗参数输入到代表三种不同操作的回归模型中。使用轮椅推进机器人来测量推进成本。广义线性模型显示,推进系统成本与代表能量损耗和惯性影响源的选定预测变量之间存在很强的关系(R2>0.84)。在所有三种操作中,系统能量损耗参数都是重要的预测因子。在零半径转弯时,偏航惯性也是一个重要的预测因子。结果表明,简单的能量损耗测量可以预测系统级性能,而惯性影响大多被增加质量引起的阻力损耗所掩盖,尽管重量分布可以减轻一些额外的成本。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb04/7302523/b625833313bc/pone.0234742.g001.jpg

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