Merians Alma S, Fluet Gerard G, Qiu Qinyin, Lafond Ian, Adamovich Sergei V
Department of Rehabilitation and Movement Sciences, University of Medicine and Dentistry of New Jersey, Newark, New Jersey 07107, USA.
J Diabetes Sci Technol. 2011 Mar 1;5(2):301-8. doi: 10.1177/193229681100500215.
Robotic systems that are interfaced with virtual reality gaming and task simulations are increasingly being developed to provide repetitive intensive practice to promote increased compliance and facilitate better outcomes in rehabilitation post-stroke. A major development in the use of virtual environments (VEs) has been to incorporate tactile information and interaction forces into what was previously an essentially visual experience. Robots of varying complexity are being interfaced with more traditional virtual presentations to provide haptic feedback that enriches the sensory experience and adds physical task parameters. This provides forces that produce biomechanical and neuromuscular interactions with the VE that approximate real-world movement more accurately than visual-only VEs, simulating the weight and force found in upper extremity tasks. The purpose of this article is to present an overview of several systems that are commercially available for ambulation training and for training movement of the upper extremity. We will also report on the system that we have developed (NJIT-RAVR system) that incorporates motivating and challenging haptic feedback effects into VE simulations to facilitate motor recovery of the upper extremity post-stroke. The NJIT-RAVR system trains both the upper arm and the hand. The robotic arm acts as an interface between the participants and the VEs, enabling multiplanar movements against gravity in a three-dimensional workspace. The ultimate question is whether this medium can provide a motivating, challenging, gaming experience with dramatically decreased physical difficulty levels, which would allow for participation by an obese person and facilitate greater adherence to exercise regimes.
与虚拟现实游戏和任务模拟相结合的机器人系统正在不断发展,以提供重复性的强化训练,促进中风后康复中更高的依从性,并取得更好的康复效果。虚拟环境(VE)使用方面的一项重大进展是将触觉信息和相互作用力融入到以前基本上只是视觉体验的环境中。各种复杂程度的机器人正与更传统的虚拟展示相结合,以提供丰富感官体验并增加物理任务参数的触觉反馈。这提供了能与VE产生生物力学和神经肌肉相互作用的力,比仅视觉的VE更精确地模拟现实世界的运动,模拟上肢任务中所发现的重量和力量。本文的目的是概述几种可用于步行训练和上肢运动训练的商用系统。我们还将报告我们开发的系统(NJIT-RAVR系统),该系统将激励性和挑战性的触觉反馈效果融入VE模拟中,以促进中风后上肢的运动恢复。NJIT-RAVR系统同时训练上臂和手部。机械臂充当参与者与VE之间的接口,使参与者能够在三维工作空间中进行对抗重力的多平面运动。最终的问题是,这种媒介能否提供一种具有激励性、挑战性且身体难度大幅降低的游戏体验,从而让肥胖者能够参与,并促进他们更坚持锻炼计划。