通过对真实世界中人体运动的理解来增强下半身辅助装置的功效

Loubna Baroudi, S. M. Cain, K. A. Shorter, Kira Barton
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引用次数: 0

摘要

在之前的研究中,研究人员已经成功地测量了健康人的行走,为下半身辅助装置创造了安全的控制策略。用于确定设计要求的测量通常来自于稳态任务期间在实验室环境中进行的测试和评估,参与者通常会选择将运输成本降至最低的运动策略。然而,人类在这些条件下行走并不一定代表现实世界中个人的自然行为。在这项工作中,我们进行了一项研究,以表征人类在现实世界中的行走。我们将周尺度的自由生活步态测量与实验室数据收集相结合,以:1)量化健康健全成年人人群中稳态步行的比例,2)评估这些人群是否倾向于选择一系列步行速度,以最大限度地减少他们在现实世界中的运输成本。我们发现,大多数步行回合包含大多数短暂步行,这表明研究人员应该用非稳态任务补充稳态特征。我们还发现,所有参与者最常使用的稳态步行速度都高于运输成本最小化的范围,这表明个人在现实世界中移动时不仅仅受到能源经济的影响。因此,在开发这些设备的控制策略时,研究人员应该考虑各种优化目标,以适应日常生活的多种情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing the Efficacy of Lower-body Assistive Devices Through the Understanding of Human Movement in the Real World
In previous studies, researchers have successfully measured walking in healthy able-bodied humans to create safe control strategies for lower body assistive devices. measurements used to establish design requirements often come from testing and evaluation that takes place in laboratory settings during steady-state tasks, where participants often select movement strategies that minimize the cost of transport. However, human walking in these conditions does not neces-sarily represent the natural behavior of an individual in the real world. In this work, we conducted a study to characterize human walking in the real world. We combined week-scale free-living measurements of gait with in-lab data collection to: 1) quantify the proportion of steady-state walking in a population of healthy able-bodied adults, and 2) evaluate whether this population favors the selection of a range of walking speeds that minimize their cost of transport in the real world. We found that the majority of walking bouts contain mostly transient walking, suggesting that researchers should complement steady-state characterization with non-steady-state tasks. We also found that the most often used steady-state walking speeds for all participants were higher than the range that minimizes cost of transport, suggesting that individuals are influenced by more than energy economy when moving in the real world. Thus, when developing control strategies for these devices, researchers should consider a variety of optimization objectives to adapt for the multifarious situations of daily life.
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