›› 2013, Vol. 26 ›› Issue (4): 8-.

• 论文 • 上一篇    下一篇

听觉诱发的“是”与“非”脑电信号研究

李子光,刘国忠   

  1. (北京信息科技大学 仪器科学与光电工程学院,北京 100192)
  • 出版日期:2013-04-15 发布日期:2013-06-20
  • 作者简介:李子光(1988—),男,硕士研究生。研究方向:脑电接口。E-mail:qh_lzg@163.com。刘国忠(1966—),男,博士。研究方向:生物医学检测技术与仪器。
  • 基金资助:

    北京市属高等学校人才强教计划基金资助项目(PHR201106130,PHR201006235)

Research into “Yes” and “No” Responses by Auditory Stimuli in Human EEG

 LI Zi-Guang, LIU Guo-Zhong   

  1. (Instrument Science and Photoelectric Engineering College,Beijing Information Science & Technology University,Beijing 100192,China)
  • Online:2013-04-15 Published:2013-06-20

摘要:

脑机接口(BCI)作为一种新兴技术,把脑电活动转化成电脑、假肢、机器人等设备控制信号的新交流通道。通过脑机接口研究可以提高患有严重的神经肌肉损伤病人的生活质量。文中介绍了听觉刺激诱发的“是”或“非”脑电信号的信号处理。信号处理采用共空间模式(CSP)的特征提取方法以及支持向量机(SVM)的分类方法。健康受试者实验数据离线分析的分类准确率达到80.2%。实验结果表明了这种方法对神经肌肉系统损伤患者和外部交流的可行性和有效性,为进一步的研究奠定了基础。

关键词: 脑机接口, 听觉刺激, &ldquo, 是&rdquo, 与&ldquo, 非&rdquo, 反应, 共空间模式

Abstract:

As an emerging technology,brain-computer interface (BCI) bring us a novel communication channel which translate brain activities into command signals for devices like computers,prostheses,and robots.The aim of the BCI research is to improve the quality of life of the patients who are suffering from server neuromuscular diseases.This paper focuses on the analysis of the different characteristics of the brain wave when a subject responses “yes” or “no” to auditory stimulations.Experiment using auditory stimuli by asking questions is adopted.The method of common spatial patterns (CSP) and support vector machine (SVM) are used for feature extraction and classification of brain wave,respectively.The off-line classification accuracy achieves 80.2% in the data records of healthy subjects.The experiment results show the feasibility of communication for neuromuscular injury patients and provide a basis for further research.

Key words: BCI;auditory stimulus;yes and no response;CSP

中图分类号: 

  • TP242.6