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一种用于中风后步态训练的跑步机与运动耦合虚拟现实系统。

A treadmill and motion coupled virtual reality system for gait training post-stroke.

作者信息

Fung Joyce, Richards Carol L, Malouin Francine, McFadyen Bradford J, Lamontagne Anouk

机构信息

Jewish Rehabilitation Hospital (CRIR), McGill University, Montreal, Canada.

出版信息

Cyberpsychol Behav. 2006 Apr;9(2):157-62. doi: 10.1089/cpb.2006.9.157.

Abstract

A virtual reality (VR)-based locomotor training system has been developed for gait rehabilitation post-stroke. The system consists of a self-paced treadmill mounted onto a 6-degrees-of-freedom motion platform. Virtual environments (VEs) that are synchronized with the speed of the treadmill and the motions of the platform are rear-projected onto a screen in front of the walking subject. A feasibility study was conducted to test the capability of two stroke patients and one healthy control to be trained with the system. Three VE scenarios (corridor walking, street crossing, and park stroll) were woven into a gait-training program that provided three levels of complexity (walking speed, slopes, collision avoidances), progression criteria (number of successful trials) and knowledge of results. Results show that, with practice, patients can effectively increase their gait speed as demanded by the task and adapt their gait with respect to the change in physical terrain. However, successful completion of tasks requiring adaptation to increasing demands related to speed and physical terrains does not necessarily predict the patient's ability to anticipate and avoid collision with obstacles during walking. This feasibility study demonstrates that persons with stroke are able to adapt to this novel VR system and be immersed in the VEs for gait training.

摘要

一种基于虚拟现实(VR)的运动训练系统已被开发用于中风后的步态康复。该系统由安装在六自由度运动平台上的自定速度跑步机组成。与跑步机速度和平台运动同步的虚拟环境(VE)被后投射到行走受试者前方的屏幕上。进行了一项可行性研究,以测试两名中风患者和一名健康对照者使用该系统进行训练的能力。三个VE场景(走廊行走、过马路和公园漫步)被编入一个步态训练程序,该程序提供了三个复杂程度级别(行走速度、坡度、避障)、进展标准(成功试验次数)和结果反馈。结果表明,通过练习,患者可以根据任务要求有效地提高步态速度,并根据物理地形的变化调整步态。然而,成功完成需要适应与速度和物理地形相关的不断增加的要求的任务,并不一定能预测患者在行走过程中预测和避免与障碍物碰撞的能力。这项可行性研究表明,中风患者能够适应这种新型VR系统,并沉浸在VE中进行步态训练。

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