中国组织工程研究

中国组织工程研究 ›› 2011, Vol. 15 ›› Issue (17): 3152-3155.doi: 10.3969/j.issn.1673-8225.2011.17.027

• 数字化骨科 digital orthopedics • 上一篇    下一篇

基于脑电alpha波及运动想象的在线脑机接口系统设计

王  磊1，王  江1，刘丽芳2，杨  硕1，徐桂芝1，颜威利1   

  1. 1河北工业大学电磁场与电器可靠性省部共建重点实验室，天津市   300130
    2解放军空军第四飞行学院门诊部，河北省石家庄市050000
  • 收稿日期:2010-10-08 修回日期:2011-03-10 出版日期:2011-04-23 发布日期:2011-04-23
  • 作者简介:王磊☆，男，1978年生，天津市人，汉族，2009年河北工业大学毕业，博士，讲师，主要从事脑机接口、脑电信号分析研究。 murhythm@qq. com
  • 基金资助:

    河北省自然科学基金(E2009000062)“具有被试针对性的运动想象脑机接口技术研究”，项目主持人为本文第一作者。

On-line brain-computer interface system design based on alpha wave and motor imagery

Wang Lei1, Wang Jiang1, Liu Li-fang2, Yang Shuo1, Xu Gui-zhi1, Yan Wei-li1   

  1. 1Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin  300130, China
    2Clinic Department, Fourth Flying School of Chinese PLA Air Force, Shijiazhuang  050000, Hebei Province, China
  • Received:2010-10-08 Revised:2011-03-10 Online:2011-04-23 Published:2011-04-23
  • About author:Wang Lei☆, Doctor, Lecturer, Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin 300130, China murhythm@qq.com
  • Supported by:

    the Natural Science Foundation of Hebei Province, No. E2009000062*

PDF

702

被引次数

11

摘要：

背景：目前在线脑机接口系统绝大多数采用同步式设计，无法区分“工作”状态与“空闲”状态。
目的：设计一种能够自由在“工作”与“空闲”状态间切换，方便灵活的脑机接口系统。
方法：设计了综合睁眼产生的alpha波阻断现象，以及进行运动想象时产生事件相关同步及去同步现象这些生理特征的在线脑机接口系统。通过检测使用者枕部脑电信号alpha波状况，来切换“空闲”与“工作”状态；在“工作”状态下，通过想象不同的肢体运动，分析运动皮质脑电信号的频率特征，来实现对外界的信息传输。
结果与结论：实验证明，经过训练的使用者在该在线脑机接口平台上可以自如的在不同状态间进行切换，并且能以很高的分类正确率发出控制命令。采用此方法进行设计，脑机接口系统的实用性得到了增强。

关键词: 脑机接口, alpha波, 运动想象, 工作状态, 空闲状态

Abstract:

BACKGROUND: At present, most of on-line brain-computer interface (BCI) systems adopt synchronous design, which cannot tell the switch between “active” state and “idle” state. 
OBJECTIVE: To design an effective BCI system design, which is free to switch between “active” state and “idle” state.
METHODS: In this paper, an on-line BCI system was designed based on a series of physiological phenomenon, such as alpha wave-block, event related synchronization (ERS) and event related desynchronization (ERD). Through detecting the EEG recorded from occipital area, the two states being “active” and “idle” could be switched. Under the statement of “active”, EEG captured from motor cortex was processed, and the frequency feature was extracted during different motor imagery tasks, in the end, the mind that user wanted to express was estimated.
RESULTS AND CONCLUSION: The results show that the subject can switch freely between the two states by using this on-line BCI system after training. Using this method, the practicability of on-line BCI system is getting improved greatly.

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