中国组织工程研究 ›› 2011, Vol. 15 ›› Issue (39): 7360-7363.doi: 10.3969/j.issn.1673-8225.2011.39.035

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

基于LabVIEW运动想象的脑机接口系统

周  雅1,何庆华2,焦晓波3   

  1. 1许昌学院电气信息工程学院,河南省许昌市  461000
    2解放军第三军医大学大坪医院野战外科研究所,创伤、烧伤与复合伤国家重点实验室,重庆市  400042
    3河南许昌供电公司电力通信中心,河南省许昌市461000
  • 收稿日期:2011-05-30 修回日期:2011-07-26 出版日期:2011-09-24
  • 通讯作者: 何庆华,博士,副研究员,解放军第三军医大学大坪医院野战外科研究所,重庆市 400042
  • 作者简介:周雅★,女,1982年生,湖北省武汉市人,汉族, 2010年重庆大学毕业,硕士,助教,主要从事生物医学信号处理方向的研究。 zhouyatop@126.com
  • 基金资助:

    国家自然科学基金项目资助(30300418);重庆市科技攻关计划项目(2009AC5023);许昌学院科研基金项目(2011B031)。

A system of motor imaging brain-computer interface based on LabVIEW

Zhou Ya1, He Qing-hua2, Jiao Xiao-bo3   

  1. 1College of Electricity and Information Engineering, Xuchang University, Xuchang  461000, Henan Province, China
    2State Key Laboratory of Trauma, Burns and Combined Injury, Daping Hospital, Surgery Institute of the Third Military Medical University, Chongqing  400042, China
    3Power Telecommunication Center, Xuchang Electric Power Company, Xuchang  461000, Henan Province, China
  • Received:2011-05-30 Revised:2011-07-26 Online:2011-09-24
  • Contact: He Qing-hua, Doctor, Associate researcher, State Key Laboratory of Trauma, Burns and Combined Injury, Daping Hospital, Surgery Institute of the Third Military Medical University, Chongqing 400042, China
  • About author:Zhou Ya★, Master, Assistant teacher, College of Electricity and Information Engineering, Xuchang University, Xuchang 461000, Henan Province, China zhouyatop@126.com
  • Supported by:

    the National Natural Science Foundation of China, No. 30300418*; the Science and Technology Tackle Key Program of Chongqing City, No. 2009AC5023*; the Science and Technology Foundation of Xuchang University, No. 2011B031*

摘要:

背景:基于事件相关电位的脑-机接口,可广泛应用于残障患者的康复,显示出其重要性和未来实现的可行性。
目的:提出基于LabVIEW环境下的运动想象脑-机接口系统的实现方案。
方法:研究的关键部分是视觉刺激器的设计和脑电特征信号的特征提取两部分。测试者通过观察视觉刺激器上的左右手连续播放图像刺激产生脑电信号,采用带通滤波提高信噪比,用滑动窗截取脑电数据并且对截取的数据从能量的角度分析得到运动想象特征,同时可以在线提取特征,为实现实时系统打下了基础。
结果与结论:该方案能有效地提取出运动想象特征,并且通过离线模式识别进行了有效的分类,分类效果达到了82%。

关键词: 脑-机接口, 运动想象, 事件相关同步/去同步, LabVIEW, 数字化医学

Abstract:

BACKGROUND: The brain-computer interface (BCI) based on event-related potential can be widely used in the rehabilitation of disabled patients, showing its importance and the feasibility of future implementation.
OBJECTIVE: To present the realization of BCI based on motor imaging under LabVIEW.
METHODS: The critical parts of the solution are the realization of the visual stimulation and the feature extraction of electroencephalogram (EEG). The testee fixates on playback images of the left and right hand on the screen, which can induce EEG. The band pass filtering is used to improve the signal-to-noise ratio (SNR). The EEG data intercepted with the sliding window have been analyzed from the perspective of time-domain energy and obtained the feature extraction of motor imaging EEG. On-line feature extraction lays the foundation for the realization of real-time system.
RESULTS AND CONCLUSION: The program can effectively extract the features of motor imagery, and effectively conduct a classification by off-line pattern recognition, with classification results achieving 82%.

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