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三维虚拟现实环境中基于EEG的异步BCI小车导航系统 被引量:3

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摘要 脑机交互(BCI)目的是为了建立一种全新的对外信息交流通路,它不依赖于常规大脑输出通道(外周神经系统及肌肉组织).但是,在大脑与计算机之间建立一种自然的、功能复杂的交互方式仍是一种挑战.本文研究了如何使运动想象(MI)引起的事件相关去同步/同步(ERD/ERS)的持续时间可以被思维任务调制,并提供一种额外的连续控制参数,从而超越了传统的二值控制问题.另外,采用持续去同步的非锁时性,开发了基于累积增量控制策略的异步BCI系统,即三维虚拟现实中小车导航系统.实时实验结果表明,本文所提出的方法能够使受试者采用运动想象EEG在复杂的三维虚拟现实环境中平稳地驾驶小车.
出处 《科学通报》 EI CAS CSCD 北大核心 2008年第23期2888-2895,共8页 Chinese Science Bulletin
基金 国家重点基础研究发展计划(批准号:2005CB724301) 国家高技术研究发展计划(批准号:2006AA01Z125)资助项目
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参考文献33

  • 1Nicolefis M A L. Actions from thoughts. Nature, 2001, 409(6818): 403--407.
  • 2Wolpaw J R, Birbaumer N, McFarland D J, et al. Brain-computer interfaces for communication and control. Clin Neurophysiol, 2002, 113(6): 767--791.
  • 3Dornhege G. Toward Brain-Computer Interfacing. Cambridge, MA: MIT Press, 2007.
  • 4Serruya M, Hatsopoulos N, Paninski L, et al. Instant neural control of a movement signal. Nature, 2002, 416(6877): 141--142.
  • 5Wessberg J, Stambaugh C R, Kralik J D, et al. Real-time prediction of hand trajectory by ensembles of cortical neurons in primates. Nature, 2000, 408(6810): 361--365.
  • 6Taylor D M, Tillery S I H, Schwartz A B. Direct cortical control of 3D neuroprosthetic deviCes. Science, 2002, 296(5574): 1829.
  • 7Musallam S, Corneil B D, Greger B, et al. Cognitive control signals for neural prosthetics. Science, 2004, 305(5681): 258--262.
  • 8Santhanam G, Ryu S I, Yu B M, et al. A high-performance brain-computer interface. Nature, 2006, 442(7099): 195--198.
  • 9Chapin J K, Moxon K A, Markowitz R S, et al. Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex. Nat Neurosci, 1999, 2:664--670.
  • 10Muller K R, Blankertz B. Toward noninvasive brain-computer interfaces. IEEE Signal Processing Magazine, 2006, 23(5): 125--128.

同被引文献51

  • 1高上凯.无创高通讯速率的实时脑-机接口系统[J].中国基础科学,2007(3):25-26. 被引量:12
  • 2陈芷若.意识障碍的神经电生理检查[J].临床神经外科杂志,2006,3(2):92-93. 被引量:4
  • 3马贇,王毅军,高小榕,高上凯.基于脑-机接口技术的虚拟现实康复训练平台[J].中国生物医学工程学报,2007,26(3):373-378. 被引量:17
  • 4McFarland D J, Sarnaeki WA, Wolpaw JR. Eleetroenee- phalographic (EEG) control of three-dimensional movement [J]. J Neural Eng., 2010, 7(036007) :1 -9.
  • 5Bradberry TJ, Gentili RJ, Contreras-Vidal JL. Reconstructing three-dimensional hand movements from noninvasive electroencephalographic signals [ J]. J Neurosci, 2010, 30(9) :3432 - 3437.
  • 6Royer AS, Doud AJ, Rose ML, et al. EEG control of a virtual helicopter in 3-Dimensional space using intelligent control strategies [J]. Neural System and Rchab Eng, 2010, 18(6) : 581 -589.
  • 7Allison BZ, Brunner C, Kaiser V, et al. Toward a hybrid brain- computer interface based on imagined movement and visual attention [J]. J Neural Eng, 2010, 7(026007) :1 -9.
  • 8Li Yuanqing, Long Jinyi, Yu Tianyou, et al. An EEG-based BCI system for 2-D cursor control by combining Mu/Beta rhythm and P300 potential [ J]. IEEE Trans Biomed Eng, 2010, 57 (10) : 2495 -2505.
  • 9Blankertz B, Tangermann M, Vidaurre C, et al. The Berlin brain-computer interface: non-medical uses of BCI technology [ J]. Frontiers in Neuroscience/Neuroprosthetics, 2010, 4 ( Article 198 ) : 1 - 17.
  • 10Pfurtschelier G, Neuper C. Motor imagery and direct brain- computer communication [ J]. Proceedings of the IEEE, 2001, 89(7) : 1123 -1134.

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