利用脑机接口和触觉振动反馈进行运动图像训练的沉浸式VR环境

A. Vourvopoulos, André Ferreira, S. Badia
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引用次数: 59

摘要

运动图像为脑机接口(bci)的发展提供了坚实的基础,它不仅能够直接进行脑机通信,而且还能有效地减轻神经损伤。脑机接口与虚拟现实(VR)的融合允许虚拟康复领域的增强,包括低水平运动控制和有限的治疗机会的患者。BCI- vr技术推动了研究朝着寻找更好、更可靠的BCI控制新解决方案的方向发展。基于我们之前的工作,我们开发了NeuRow,这是一个新颖的多平台原型,通过最先进的头戴式显示器(HMD)在沉浸式虚拟现实环境中利用多模式反馈。在本文中,我们介绍了系统的设计和开发,包括以隐式方式创建封闭神经反馈回路的重要功能,以及用户性能和用户接受度的初步数据
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NeuRow: An Immersive VR Environment for Motor-Imagery Training with the Use of Brain-Computer Interfaces and Vibrotactile Feedback
Motor-Imagery offers a solid foundation for the development of Brain-Computer Interfaces (BCIs), capable of direct brain-to-computer communication but also effective in alleviating neurological impairments. The fusion of BCIs with Virtual Reality (VR) allowed the enhancement of the field of virtual rehabilitation by including patients with low-level of motor control with limited access to treatment. BCI-VR technology has pushed research towards finding new solutions for better and reliable BCI control. Based on our previous work, we have developed NeuRow, a novel multiplatform prototype that makes use of multimodal feedback in an immersive VR environment delivered through a state-of-the-art Head Mounted Display (HMD). In this article we present the system design and development, including important features for creating a closed neurofeedback loop in an implicit manner, and preliminary data on user performance and user acceptance of
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