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Change in brain activity through virtual reality-based brain-machine communication in a chronic tetraplegic subject with muscular dystrophy

机译:在患有肌营养不良症的慢性四肢瘫痪患者中通过基于虚拟现实的脑机通信来改变大脑活动

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摘要

BackgroundFor severely paralyzed people, a brain-computer interface (BCI) provides a way of re-establishing communication. Although subjects with muscular dystrophy (MD) appear to be potential BCI users, the actual long-term effects of BCI use on brain activities in MD subjects have yet to be clarified. To investigate these effects, we followed BCI use by a chronic tetraplegic subject with MD over 5 months. The topographic changes in an electroencephalogram (EEG) after long-term use of the virtual reality (VR)-based BCI were also assessed. Our originally developed BCI system was used to classify an EEG recorded over the sensorimotor cortex in real time and estimate the user's motor intention (MI) in 3 different limb movements: feet, left hand, and right hand. An avatar in the internet-based VR was controlled in accordance with the results of the EEG classification by the BCI. The subject was trained to control his avatar via the BCI by strolling in the VR for 1 hour a day and then continued the same training twice a month at his home.
机译:背景技术对于严重瘫痪的人,脑机接口(BCI)提供了一种重新建立交流的方式。尽管患有肌营养不良症(MD)的受试者似乎是潜在的BCI使用者,但尚不清楚BCI使用对MD受试者中脑部活动的实际长期影响。为了研究这些影响,我们跟踪了5个月内患有MD的慢性四肢瘫痪患者使用BCI。还评估了长期使用基于虚拟现实(VR)的BCI后脑电图(EEG)的地形变化。我们最初开发的BCI系统用于实时对在感觉运动皮层上记录的EEG进行分类,并通过三种不同的肢体运动(脚,左手和右手)来估计用户的运动意图(MI)。 BCI根据EEG分类的结果控制了基于Internet的VR中的化身。每天训练对象在VR中漫步1小时,然后通过BCI控制对象的化身,然后每月在他的家中进行两次相同的训练。

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