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Virtual Reality Based on Stereotypical RUPERT for Stroke Functional Rehabilitative Training Scenarios

机译:基于原型RUPERT的虚拟现实在卒中功能康复训练中的应用

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This paper outlines our work in developing a series of game-like VR scenarios to assess and rehabilitate System with 3-D Exercise Machine for Upper Limb, coordination, range of motion and other relevant perceptual motor activities. The novel experiments with a new perturbation paradigm were designed to study the control of hand orientation and arm movement during 3D reach-to-grasp in both human subjects and rhesus monkeys. The experiments captured the signal from the monkey''s brain (Electrocorticogram, EcoG), and integrated the signals into a DATABASE. Our efforts have focused on building engaging game-based stereoscopic video and audio scenarios that allow clients to participate in perceptual-motor rehabilitation. From the audio and video, the system of DEMO could activate the patient''s consciousness to adjust the arm''s movement; this depends on the patient self-adjust and self-rehabilitation. Exploratory work using EcoG signal DATABASE to match the motion and the biofeedback model, detect and track 3D body motion, identify body postures and quantify motor performance is also described, this method of biofeedback could extract the subjective desire and promote the effect of the rehabilitative training.
机译:本文概述了我们在开发一系列类似于游戏的VR场景以评估和修复3D上肢肢体运动,协调,运动范围和其他相关知觉运动活动的系统方面的工作。设计了具有新的摄动范式的新颖实验,以研究人类对象和恒河猴在3D达到抓握过程中手的方向和手臂运动的控制。实验捕获了来自猴子大脑的信号(脑电图,EcoG),并将信号整合到数据库中。我们的工作重点是建立引人入胜的基于游戏的立体视频和音频方案,使客户能够参与感知运动康复。从音频和视频中,演示系统可以激活患者的意识以调节手臂的运动;这取决于患者的自我调节和自我康复。还介绍了使用EcoG信号数据库匹配运动和生物反馈模型,检测和跟踪3D人体运动,识别身体姿势并量化运动表现的探索性工作,这种生物反馈方法可以提取主观愿望并促进康复训练的效果。

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