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一种用于光标控制的基于脑电图的脑机接口。

An EEG-based brain-computer interface for cursor control.

作者信息

Wolpaw J R, McFarland D J, Neat G W, Forneris C A

机构信息

Wadsworth Center for Laboratories and Research, Albany, NY 12201-0509.

出版信息

Electroencephalogr Clin Neurophysiol. 1991 Mar;78(3):252-9. doi: 10.1016/0013-4694(91)90040-b.

Abstract

This study began development of a new communication and control modality for individuals with severe motor deficits. We trained normal subjects to use the 8-12 Hz mu rhythm recorded from the scalp over the central sulcus of one hemisphere to move a cursor from the center of a video screen to a target located at the top or bottom edge. Mu rhythm amplitude was assessed by on-line frequency analysis and translated into cursor movement: larger amplitudes moved the cursor up and smaller amplitudes moved it down. Over several weeks, subjects learned to change mu rhythm amplitude quickly and accurately, so that the cursor typically reached the target in 3 sec. The parameters that translated mu rhythm amplitudes into cursor movements were derived from evaluation of the distributions of amplitudes in response to top and bottom targets. The use of these distributions was a distinctive feature of this study and the key factor in its success. Refinements in training procedures and in the distribution-based method used to translate mu rhythm amplitudes into cursor movements should further improve this 1-dimensional control. Achievement of 2-dimensional control is under study. The mu rhythm may provide a significant new communication and control option for disabled individuals.

摘要

本研究开始为严重运动功能障碍者开发一种新的通信与控制方式。我们训练正常受试者使用从一个半球中央沟上方头皮记录的8 - 12赫兹μ节律,将视频屏幕中心的光标移动到位于顶部或底部边缘的目标位置。通过在线频率分析评估μ节律幅度,并将其转化为光标移动:较大幅度使光标向上移动,较小幅度使光标向下移动。在几周时间里,受试者学会了快速准确地改变μ节律幅度,从而使光标通常能在3秒内到达目标。将μ节律幅度转化为光标移动的参数源自对响应顶部和底部目标时幅度分布的评估。这些分布的使用是本研究的一个独特特征,也是其成功的关键因素。训练程序以及用于将μ节律幅度转化为光标移动的基于分布的方法的改进,应能进一步改善这种一维控制。二维控制的实现正在研究中。μ节律可能为残疾人士提供一种重要的新通信与控制选择。

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