基于Golay序列调制的视觉诱发电位脑机接口系统  

Visual Evoked Potential Brain-computer Interface Based on Golay Sequence Modulation

作　　者：李茂全[1] 魏庆国[1] 卢宗武[1] 

机构地区：[1]南昌大学信息工程学院电子系,南昌330031

出　　处：《科学技术与工程》2015年第26期185-189,共5页Science Technology and Engineering

摘　　要：脑机-接口是一种新型的人机交互方式,不依赖于外周神经和肌肉,而是直接将脑电信号翻译成计算机的控制命令。针对传统脑机-接口系统识别准确率低、可识别目标少等问题,提出了一种基于Golay序列调制的视觉诱发电位脑机接口系统。首先受试者必须注视着屏幕上闪烁的目标,通过脑电放大器对人脑表皮层产生的信号进行采集、放大、A/D转换等预处理操作,然后经过实时分析软件对预处理后的脑电信号进行分类识别,取出大脑特定获得下的特征;最后将其转换为计算机的控制命令,并将输出结果反馈给用户。系统选取了Golay序列对刺激目标进行调制,且运用模板匹配法对目标进行识别。实验结果表明,该方法能有效的识别刺激目标,且获得了93.75%的识别准确率。As a new communication means of human computer interaction, brain-computer interface transform electroencephalogram into commands of computer control, which is independent of peripheral nervous and muscle. In order to solve the problem of recognition accuracy and identify less targets for traditional brain-computer inter- face, visual evoked potential brain-computer interface based on Golay sequence modulation was proposed. First, the subjects must gaze flick targets on the screen, the signals produced by the brain surface are collected , amplified, analog-digital conversion by electroencephalogram amplifier. Then, classification and recognition the preprocessed electroencephalogram signals through a real-time software analysis were presented. Finally, the process signals are conversed computer control command and feedback to the user for the result. The Golay sequence modulation stimu- lus targets is selected and template matching method is used to recognize targets. The results showed this method is efficient to recognize targets and the recognize accuracy is 93.75 %.

关 键 词：脑-机接口 Golay序列 视觉诱发电位 模板匹配法 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]