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基于Labview的脑机接口实时系统 被引量:1

Real-Time Brain-computer Interface System Based on Labview
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摘要 目的在Active One生理信号采集系统基础上实现脑机接口实时系统。方法系统利用瞬态视觉诱发电位来实现脑机接口,软件采用Labview7.1编程实现。设计四个刺激模块的脑机接口人机界面,采用同频次复合刺激方式实现多模块视觉刺激。应用累加平均与FIR滤波器提取视觉诱发电位信号,再通过计算相关系数实现信号识别。结果10名受试者参加了脑机接口实验。实验结果表明,基于Labview设计的视觉刺激器能够产生有效的视觉刺激。结论本文提出的实时信号处理方法提高了信噪比,实现了视觉诱发电位的提取与识别,能够判断出受试者所注视的目标,并将结果实时反馈到人机界面,实现了脑机接口实时系统。 Objective To realize real-time brain-computer interface based on the active one biopotential measurement systerm. Method Transient visual evoked potential was used for brain-computer interface and the software was designed by means of Labview 7.1. There were four stimulating modules on the human-computer interface, and the complex stimulation in same frequency was used for multi-module visual stimulation. FIR filter combining with averaging method was used to detect the visual evoke potential and correlation coeffients was computed for signal recognization. Result 10 subjects took part in the experiment, and the experiment proved the visual stimulator designed by Labview could produce effective visual stimulation. Conclusion The real-time signal processing method can improve signal-noise ratio and realize the detection and reeognization of visual evoked potential. The system can determine the module which the subject was fixating, and feed back the result to the subject in real time.
出处 《北京生物医学工程》 2009年第2期184-186,202,共4页 Beijing Biomedical Engineering
基金 国家自然科学基金(30300418)、重庆市自然科学基金(CSTC,2005BB2187)资助
关键词 脑机接口 视觉诱发电位 LABVIEW brain computer interface visual evoked potential Labview
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  • 1Birbaumer N. Breaking the silence: Brain-computer interfaces for communication and motor control [J]. Psychophysiology, 2006, 43(6) : 517 - 532.
  • 2Ingrld Wickelgren. Brain-computer interface adds a new dimension. Science[J]. 2004, 306:1878 -1879.
  • 3Nicolelis MA. Brain-machine interface to restore motor function and probe neural circuits [J]. Nature Reviews.Neuroscience, 2003, 4(5): 417-422.
  • 4杨福生,洪波,唐庆玉.独立分量分析及其在生物医学工程中的应用[J].国外医学(生物医学工程分册),2000,23(3):129-134. 被引量:58
  • 5任宇鹏,王广志,程明,高小榕,季林红.基于脑-机接口的康复辅助机械手控制[J].中国康复医学杂志,2004,19(5):330-333. 被引量:34

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