计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (31): 245-248.DOI: 10.3778/j.issn.1002-8331.2008.31.072

• 工程与应用 • 上一篇    

基于虚拟仪器LabVIEW的脑—机接口系统

权苏会1,何庆华1,田逢春2   

  1. 1.重庆大学 通信工程学院,重庆 400044
    2.第三军医大学 大坪医院野战外科研究所,重庆 400042
  • 收稿日期:2007-12-03 修回日期:2008-02-21 出版日期:2008-11-01 发布日期:2008-11-01
  • 通讯作者: 权苏会

Realization of Brain-Computer Interface(BCI) based on LabVIEW

QUAN Su-hui1,HE Qing-hua1,TIAN Feng-chun2   

  1. 1.Institute of Communication Engineering,Chongqing University,Chongqing 400044,China
    2.Daping Hospital,Surgery Institute of the Third Military Medical University,Chongqing 400042,China
  • Received:2007-12-03 Revised:2008-02-21 Online:2008-11-01 Published:2008-11-01
  • Contact: QUAN Su-hui

摘要: 给出了基于瞬态视觉诱发电位的脑-机接口系统在LabVIEW环境下的实现方案。该方案的关键部分是视觉刺激器的设计和脑电信号的提取两部分。不同的刺激模块代表了多种可能的选择,受试者注视屏幕上其中一个目标,分析诱发电位可判别试者所注视的目标。采用累加平均和滤波的方法提高信噪比,用于提取微弱的脑电信号。该方案能有效地诱发出可识别的具有特征性的视觉诱发电位,并且通过离线的信号处理能够提取出所诱发的视觉诱发电位。

关键词: 脑-机接口, 视觉诱发电位, LabVIEW, 信号处理

Abstract: The realization of Brain-Computer Interface(BCI) based on transient visual evoked potential under LabVIEW is presented.The critical parts of the solution are the realization of the visual stimulation and the extraction of EEG.The different stimulation module represents a number of possible selections,and then the testee fixate on one object on the screen,which can be distinguished by the analysis of the VEPs.The averaging and filtering method is used to extract the VEP signal by improving the Signal-to-Noise(SNR).Recognizable VEP signal with distinct characteristics can be evoked effectively,and also can be extracted by the offline signal processing.

Key words: Brain-Computer Interface(BCI), Visual Evoked Potential(VEP), LabVIEW, signal processing