Research on Rehabilitation Training Strategies Using Multimodal Virtual Scene Stimulation

Ping Xie, Zihao Wang, Zengyong Li, Ying Wang, Nianwen Wang, Zhenhu Liang, Juan Wang and Xiaoling Chen*

Abstract

It is difficult for stroke patients with flaccid paralysis to receive passive rehabilitation training. Therefore, virtual rehabilitation technology that integrates the motor imagery brain-computer interface and virtual reality technology has been applied to the field of stroke rehabilitation and has evolved into a physical rehabilitation training method. This virtual rehabilitation technology can enhance the initiative and adaptability of patient rehabilitation. To maximize the deep activation of the subjects motor nerves and accelerate the remodeling mechanism of motor nerve function, this study designed a brain-computer interface rehabilitation training strategy using different virtual scenes, including static scenes, dynamic scenes, and VR scenes. Including static scenes, dynamic scenes, and VR scenes. We compared and analyzed the degree of neural activation and the recognition rate of motor imagery in stroke patients after motor imagery training using stimulation of different virtual scenes, The results show that under the three scenarios, The order of degree of neural activation and the recognition rate of motor imagery from high to low is: VR scenes, dynamic scenes, static scenes. This paper provided the research basis for a virtual rehabilitation strategy that could integrate the motor imagery brain-computer interface and virtual reality technology.

摘要

弛缓性瘫痪的脑卒中患者很难接受被动康复训练。因此，融合了运动图像脑机接口和虚拟现实技术的虚拟康复技术被应用于脑卒中康复领域，并逐渐发展成为一种物理康复训练方法。这种虚拟康复技术可以增强患者康复的主动性和适应性。为了最大限度地深层激活受试者的运动神经，加速运动神经功能的重塑机制，本研究设计了一种脑机接口康复训练策略，采用不同的虚拟场景，包括静态场景、动态场景和 VR 场景。包括静态场景、动态场景和 VR 场景。我们比较分析了脑卒中患者在不同虚拟场景刺激下进行运动意象训练后的神经激活程度和运动意象识别率，结果表明，在三种场景下，神经激活程度和运动意象识别率从高到低的顺序依次为：VR场景、动态场景、VR场景、VR场景：VR场景、动态场景、静态场景。本文为运动意象脑机接口与虚拟现实技术相结合的虚拟康复策略提供了研究基础。