脑机接口：从神奇到现实转变

doi:10.69/j.issn.0258-8021.2014. 06.01

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［1］刘铁军,张锐,徐鹏.基于运动想象的脑机接口关键技术研究［J］. 中国生物医学工程学报,2014, 33(6):644-651.
［2］刘伟杰, 段炼, 戴瑞娜, 等.高生态效度的双脑神经反馈平台［J］. 中国生物医学工程学报，2014, 33(6): 652-658.
［3］曹艳, 郑筱祥. 植入式脑机接口发展概况［J］ .中国生物医学工程学报，2014, 33（6): 659-665.
［4］吴俊, 杨雅, 俞祝良, 等.基于马尔科夫切换过程的运动想象信号分类方法.中国生物医学工程学报,2014, 33(6): 666-672.
［5］尧德中,刘铁军,雷旭,等.基于脑电的脑-机接口：关键技术和应用前景［J］.电子科技大学学报, 2009, 3(5): 550-554.
［6］Gao Shangkai, Wang Yijun, Gao Xiaorong, et al. Visual and auditory braincomputer interfaces ［J］. IEEE Trans on Biomed Eng, 2014, 61(5): 1436- 1447.
［7］高上凯. 浅谈脑一机接口的发展现状与挑战［J］. 中国生物医学工程学报,2007, 26（6）: 801-809.
［8］Xu Minpeng, Chen Long, Zhang Lixin, et al.A visual parallelBCI speller based on the timefrequency coding strategy ［J］. J Neural Eng, 2014, 11(2):026014.
［9］Yin Eewei, Zhou Zongtan, Jiang Jun, et al. A novel hybrid BCI speller based on the incorporation of SSVEP into the P300 paradigm ［J］. J Neural Eng, 2013, 10(2):026012［10］Xie Jun, Xu Guanghua, Wang Jiang, et al. Addition of visual noise boosts evoked potentialbased braincomputer interface ［J］.Sci Rep, 2014, 14(4):4953.
［11］Liu Ye, Li Mingfen, Zhang Hao, et al.A tensorbased scheme for stroke patients' motor imagery EEG analysis in BCIFES rehabilitation training ［J］. J Neurosci Methods, 2014,222:238-249.
［12］王行愚,金晶,张宇,等.脑控:基于脑-机接口的人机融合控制［J］.自动化学报, 2013,39(3):208-223.
［13］Cao L, Li J, Ji H, et al. A hybrid brain computer interface system based on the neurophysiological protocol and brainactuated switch for wheelchair control ［J］. J Neurosci Methods,2014, 229:33-43.
［14］Wang H, Xu Dong. Comprehensive common spatial patterns with temporal structure information of EEG data: minimizing nontask related EEG component ［J］. IEEE Trans Biomed Eng, 2012, 59(9):2496-2505.
［15］Wei Pengfei, He Wei, Zhou Yi, et al. Performance of motor imagery braincomputer interface based on anodal transcranial direct current stimulation modulation ［J］. IEEE Trans Neural Syst Rehabil Eng, 2013,21(3):404-415.
［16］Xu Peng, Tian Chunyang, ZhangYangsong, et al. Cortical network properties revealed by SSVEP in anesthetized rats ［J］. Sci Rep, 2013, 3: 2496.
［17］尧德中, 吴丹, 赖永秀, 等. 基于脑电和磁共振的音乐脑机制研究［J］. 中国生物医学工程学报, 2014,33(6): 673-676.
［18］Xu Lei, Yang Ping, Yao Dezhong. An empirical bayesianframework for brain computer interfaces ［J］. IEEE Trans Neural Syst Rehabil Eng, 2009, 17(6): 521-529.