脑机接口研究综述
Review of Brain-Computer Interface Technology
摘要: 21世纪被称为“脑研究世纪”，随着脑科学和认知科学的发展，人脑和计算机的界限逐渐被打破，新型智能设备——脑机接口出现。这是一种基于大脑神经活动的新型交流方式，可实现人脑与计算机的直接交流。本文对脑机接口发展概况、当前技术研究进展和未来发展预测进行研究综述。
Abstract: The 21st century is known as the “brain research century”. With the development of brain science and cognitive science, the boundary between human brain and computer is gradually broken, and a new type of intelligent device—brain-computer interface appears. This is a new way of communication based on the neural activity of the brain, which can realize the direct communication between the human brain and the computer. This paper summarizes the development of BCI, the current technology research progress and the future development forecast.
文章引用：刘珈汐, 高威. 脑机接口研究综述[J]. 人工智能与机器人研究, 2023, 12(1): 17-21. https://doi.org/10.12677/AIRR.2023.121003

参考文献

[1] Jacques, V.J. (1973) Toward Direct Brain-Computer Communication. Annual Review of Biophysics and Bioengineering, 2, 157-180. [Google Scholar] [CrossRef] [PubMed]
[2] 祝晓平. 植入式脑-机接口锋电位实时处理算法研究[D]: [博士学位论文]. 杭州: 浙江大学, 2012.
[3] Nasmyth, K. (2022) The Magic and Meaning of Mendel’s Miracle. Nature Reviews Genetics, 23, 447-452. [Google Scholar] [CrossRef] [PubMed]
[4] 闵栋, 李静雯, 王秀梅. 脑机接口技术在医疗健康领域应用白皮书[R]. 北京: 中国人工智能产业发展联盟, 2021.
[5] 于淑月, 李想, 于功敬, 孙健, 张忠海, 成苈委. 脑机接口技术的发展与展望[J]. 计算机测量与控制, 2019, 27(10): 5-12.
[6] 孙从众. 脑机接口进展、挑战及展望[J]. 智能物联技术, 2022, 5(3): 1-6+29.
[7] Flesher, S., Downey, J.E., Weiss, J.M., et al. (2021) A Brain-Computer Interface that Evokes Tactile Sensations Improves Robotic Arm Control. Science, 372, 831-836. [Google Scholar] [CrossRef] [PubMed]
[8] Neuralink, M.E. (2019) An Integrated Brain-Machine Interface Platform with Thousands of Channels. Journal of Medical Internet Research, 21, e16194. [Google Scholar] [CrossRef] [PubMed]
[9] 脑机接口——未来生命科学和信息技术交叉融合的主战场[J]. 电子产品可靠性与环境试验, 2021, 39(3): 113.
[10] 甄敏蔚. 未来已来, 几多思考——2021年世界人工智能大会观察[J]. 上海质量, 2021(7): 11-13.
[11] 脑机接口领域迎来新型柔性电极[J]. 电子产品可靠性与环境试验, 2022, 40(2): 15.
[12] 蒋丽勇, 刘术, 刁天喜, 赵宇伟, 董罡. 脑机接口技术进展及潜在军事医学应用[J]. 军事医学, 2021, 45(10): 780-785.
[13] Chen, X., Wang, Y., Nakanishi, M., et al. (2015) High Speed Spelling with a Noninvasive Brain-Computer Interface. Proceedings of the National Academy of Sciences of the United States of America, 112, e6058-e6067. [Google Scholar] [CrossRef] [PubMed]
[14] 梁文栋, 郭晓辉, 程波, 乐赞. 脑机接口在康复医学中的应用进展[J]. 医疗装备, 2022, 35(21): 193-196.
[15] Degenhart, A., Bishop, W.E., Oby, E.R., et al. (2020) Stabilization of a Brain-Computer Interface via the Alignment of Low-Dimensional Spaces of Neural Activity. Nature Bio-Medical Engineering, 4, 672-685. [Google Scholar] [CrossRef] [PubMed]
[16] Zhang, Y., Nam, C.S., Zhou, G., et al. (2019) Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI. IEEE Transactions on Cybernetics, 49, 3322-3332. [Google Scholar] [CrossRef] 
[17] Liu, B., Huang, X., Wang, Y., et al. (2020) BETA: A Large Bench-Mark Database toward SSVEP-BCI Application. Frontiers in Neuroscience, 14, 627. [Google Scholar] [CrossRef] [PubMed]
[18] Zhang, W. and Wu, D. (2020) Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28, 1117-1127. [Google Scholar] [CrossRef] 
[19] 陈小刚, 杨晨, 陈菁菁, 高小榕. 脑机接口技术发展新趋势——基于2019-2020年研究进展[J]. 科技导报, 2021, 39(19): 56-65.
[20] 高越. 美国脑机接口技术研究及应用进展[J]. 信息通信技术与政策, 2020(12): 75-80.
[21] Flesher, S.N., Downey, J.E., Weiss, J.M., et al. (2019) Restored Tactile Sensation Improves Neuroprosthetic Arm Control. [Google Scholar] [CrossRef] 
[22] 付佳钰, 王丽平. 基于脑电图的无创脑机接口的临床应用进展[J]. 医学综述, 2021, 27(23): 4619-4623.
[23] 柯清超, 王朋利. 脑机接口技术教育应用的研究进展[J]. 中国电化教育, 2019(10): 14-22.
[24] 顾心怡, 陈少峰. 脑机接口的伦理问题研究[J]. 科学技术哲学研究, 2021, 38(4): 79-85.

为你推荐