摘要
脑-机接口(Brain-Computer Interface,BCI)是一种不依赖于肌肉组织,完全自主实现脑对外部环境直接控制的系统。但研究发现,有15%~30%的用户存在“BCI盲”问题,即该类用户难以诱发出较强的特征信号。因此,通过构建复杂网络,提取复杂网络特征作为分类依据,以有效解决“BCI盲”问题,分类正确率达88.6%。
Brain-Computer Interface(BCI) is a wholly new system which does not rely on the peripheral nervous and is completely autonomous to realize the direct control of the human brain to the external environment. However, the study found that about 15% to 30% of users exist“BCI blind” problem. In such cases it is difficult for the users to induce a strong signal which. Therefore, this paper extracts the characteristics of by constructing complex networks,which can effectively solve the BCI blind, the recognition rate reaches 88.6%.
作者
张微
张凤
刘雄飞
魏金花
ZHANG Wei;ZHANG Feng;LIU Xiongfei;WEI Jinhua(Yinchuan University of Science and Technology,Yinchuan Ningxia 750001)
出处
《河南科技》
2021年第29期29-31,共3页
Henan Science and Technology
基金
宁夏高等学校科研项目“基于脑网络技术的异步BCI系统分类研究”(NGY2020115)。
关键词
脑-机接口
BCI盲
复杂网络
brain-computer interface
BCI blind
complex network
