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基于多通道脑电图的脑机通信。

Multichannel EEG-based brain-computer communication.

作者信息

Wolpaw J R, McFarland D J

机构信息

Wadsworth Center for Laboratories and Research, New York State Department of Health, Albany 12201-0509.

出版信息

Electroencephalogr Clin Neurophysiol. 1994 Jun;90(6):444-9. doi: 10.1016/0013-4694(94)90135-x.

Abstract

Individuals who are paralyzed or have other severe movement disorders often need alternative means for communicating with and controlling their environments. In this study, human subjects learned to use two channels of bipolar EEG activity to control 2-dimensional movement of a cursor on a computer screen. Amplitudes of 8-12 Hz activity in the EEG recorded from the scalp across right and left central sulci were determined by fast Fourier transform and combined to control vertical and horizontal cursor movements simultaneously. This independent control of two separate EEG channels cannot be attributed to a non-specific change in brain activity and appeared to be specific to the mu rhythm frequency range. With further development, multichannel EEG-based communication may prove of significant value to those with severe motor disabilities.

摘要

瘫痪或患有其他严重运动障碍的人通常需要其他方式来与周围环境进行交流并对其加以控制。在本研究中,人类受试者学会了使用双极脑电活动的两个通道来控制计算机屏幕上光标的二维移动。通过快速傅里叶变换确定从左右中央沟上方头皮记录的脑电图中8 - 12赫兹活动的幅度,并将其结合起来以同时控制光标垂直和水平移动。对两个独立脑电通道的这种独立控制不能归因于大脑活动的非特异性变化,并且似乎特定于μ节律频率范围。随着进一步发展,基于多通道脑电图的通信可能会被证明对严重运动障碍患者具有重要价值。

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