Assessment of Gait Parameters in Virtual Environment

Agnieszka Szczęsna, M. Błaszczyszyn, Magdalena Pawlyta, A. Michalczuk
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引用次数: 3

Abstract

Human gait is the result of complex interplay of the nervous, musculoskeletal and cardiorespiratory systems. Unimpaired cognition and executive control are needed for safe walking. Balance and gait problems may be precursors of falls, which are the leading cause of elderly injuries. This article concerns using the Corridor application, run on the multi-sensory virtual reality system (CAREN, Computer Assisted Rehabilitation ENvironment) to evaluate chosen gait parameters of elderly participants. The presented application influences the conditions of postural stability by skewing the image of space in different directions, especially side to side. This provoking fall prevention strategy can be described by set of changed gait parameters. Differences are observed in the hip and ankle joints, spatio-temporal parameters and the results that differed during the gait with dual-task. To better evaluate the gait asymmetry the arm swing asymmetry and step length symmetry indices were used.
虚拟环境中步态参数的评估
人的步态是神经系统、肌肉骨骼系统和心肺系统复杂相互作用的结果。安全行走需要未受损的认知和执行控制。平衡和步态问题可能是跌倒的前兆,而跌倒是老年人受伤的主要原因。本文涉及使用在多感官虚拟现实系统(CAREN,计算机辅助康复环境)上运行的Corridor应用程序来评估老年参与者的选定步态参数。该应用程序通过将空间图像在不同方向,特别是左右方向上的扭曲来影响姿态稳定的条件。这种引人注目的跌倒预防策略可以通过一组改变的步态参数来描述。在双任务步态中观察到髋关节和踝关节、时空参数和结果的差异。为了更好地评价步态不对称性,采用了臂摆不对称性和步长对称性指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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