摘要
脑-机接口(BCI)是大脑与外部设备之间建立直接联系的系统。在过去的二十年内,脑-机接口研究取得了重要进展,出现了许多基于不同脑电信号的研究方法,并尝试朝着实时、更自然的实用化方向发展。本文对基于EEG的BCI研究中的实时化和刺激方式问题进行综述:通过对DSP在BCI系统中的应用、信号预处理、算法优化等内容的讨论,指出了实时化研究的重点关注内容;通过对目前BCI研究中涉及到的脑电产生方式的讨论,提出基于想象运动的脑电产生方式是最理想的方法,而将虚拟现实反馈技术引入BCI系统中,有助于减低刺激引起的不适,提高BCI系统的性能。
Brain-computer interface （BCI） is a system that can create direct connection between brain activity and external devices. In the past 20 years,important achievements of research on BCI have been made. Now there are lots of research methods based on electroencephalic signals,and researchers are trying to make the BCI system possess the characteristics of real-time and become more natural and practical. This paper presents an overview of real-time and stimulating way to EEG-based BCI research. Through the discussions on the applications of DSP in BCI system,in signal preprocessing and in algorithm optimization,the high lights in real-time research are pointed out. In the discussions about the way to produce EEG signals in BCI,the researchers suggested that the imaging movement be the most ideal way in that it will reduce the discomfort in stimulation by application of the virtual reality technology in BCI system,thus it will be conducive to improvement in the performance of BCI system.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2010年第3期702-706,共5页
Journal of Biomedical Engineering
基金
重庆市发改委重大产业化前期关键技术研究项目资助(2008-316)
