2018年脑机接口研发热点回眸
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摘要
脑机接口提供了人脑与外部设备之间的直接通信通道,它的独特之处是不依赖于外周神经和肌肉组织。近年来,脑机接口领域发展迅速,脑机接口研究正在不断扩展,其应用范围也在不断扩大。本文综述了2018年脑机接口领域在系统应用与关键技术方面所取得的重要研究进展,展望了脑机接口智能化、移动化的发展新趋势,并提出脑机接口伦理风险的新思考。
Brain computer interface(BCI) provides a direct communication channel between human brain and external devices,which is distinctive in that it does not depend on peripheral nerves or muscles.The BCI field has grown dramatically in the recent years,with research growing and expanding in the breadth of its applications.This article reviews the important research advances of BCI in 2018,mainly focusing on system applications and key technologies.New trends towards more intelligent and mobile BCIs as well as ethical risks are discussed.
Brain computer interface(BCI) provides a direct communication channel between human brain and external devices,which is distinctive in that it does not depend on peripheral nerves or muscles.The BCI field has grown dramatically in the recent years,with research growing and expanding in the breadth of its applications.This article reviews the important research advances of BCI in 2018,mainly focusing on system applications and key technologies.New trends towards more intelligent and mobile BCIs as well as ethical risks are discussed.
引文
[1]McFarland D J,Wolpaw J R.Brain-computer interface use is a skill that user and system acquire together[J].PLoS Biology,2018,16(7):e2006719.
[2]Chen X,Wang Y,Nakanishi M,et al.High-speed spelling with a noninvasive brain-computer interface[J].PNAS,2015,112(44):E6058-E6067.
[3]Chen X,Zhao B,Wang Y,et al.Control of a 7-DOF robotic arm system with an SSVEP-based BCI[J].International Journal of Neural Systems,2018,28(8):1850018.
[4]Marshall D,Coyle D,Wilson S,et al.Games,gameplay,and BCI:The state of the art[J].IEEE Transactions on Computational Intelligence and AI in Games,2013,5(2):82-99.
[5]Miranda R A,Casebeer W D,Hein A M,et al.DARPA-funded efforts in the development of novel brain-computer interface technologies[J].Journal of Neuroscience Methods,2015,244:52-67.
[6]Gao S,Wang Y,Gao X,et al.Visual and auditory brain-computer interfaces[J].IEEE Transactions on Biomedical Engineering,2014,61(5):1436-1447.
[7]Yang G Z,Bellingham J,Dupont P E,et al.The grand challenges of Science Robotics[J].Science Robotics,2018,3(14):eaar7650.
[8]Nonsurgical neural interfaces could significantly expand use of neurotechnology[EB/OL].(2018-03-16).https://www.darpa.mil/news-events/2018-03-16.
[9]Schwemmer M A,Skomrock N D,Sederberg P B,et al.Meeting brain-computer interface user performance expectations using a deep neural network decoding framework[J].Nature Medicine,2018,24(11):1669-1676.
[10]Biasiucci A,Leeb R,Iturrate I,et al.Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke[J].Nature Communications,2018,9(1):2421.
[11]Perdikis S,Tonin L,Saeedi S,et al.The Cybathlon BCI race:Successful longitudinal mutual learning with two tetraplegic users[J].PLoS Biology,2018,16(5):e2003787.
[12]Ganesh G,Nakamura K,Saetia S,et al.Utilizing sensory prediction errors for movement intention decoding:A new methodology[J].Science Advances,2018,4(5):eaaq0183.
[13]Hebert C,Masvidal-Codina E,Suarez-Perez,A,et al.Flexible graphene solution-gated field-effect transistors:Efficient transducers for micro-electrocorticography[J].Advanced Functional Materials,2018,28(12):1703976.
[14]Boto E,Holmes N,Leggett J,et al.Moving magnetoencephalography towards real-world applications with a wearable system[J].Nature,2018,555(7698):657-661.
[15]Nakanishi M,Wang Y,Chen X,et al.Enhancing detection of SSVEPs for a high-speed brain speller using task-related component analysis[J].IEEE Transactions on Biomedical Engineering,2018,65(1):104-112.
[16]Xing X,Wang Y,Pei W,et al.A high-speed SSVEP-based BCI using dry EEG electrodes[J].Scientific Reports,2018,8(1):14708.
[17]Zhang Y,Wang Y,Zhou G,et al.Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces[J].Expert Systems with Applications,2018,96:302-310.
[18]Wei C S,Lin Y P,Wang Y T,et al.A subject-transfer framework for obviating inter-and intra-subject variability in EEG-based drowsiness detection[J].Neuroimage,2018,174:407-419.
[19]Lawhern V J,Solon A J,Waytowich N R,et al.EEGNet:Acompact convolutional neural network for EEG-based braincomputer interfaces[J].Journal of Neural Engineering,2018,15(5):056013.
[20]Meng J,Streitz T,Gulachek N,et al.Three-dimensional brain-computer interface control through simultaneous overt spatial attentional and motor imagery tasks[J].IEEE Transactions on Biomedical Engineering,2018,65(11):2417-2427.
[21]Xu M,Xiao X,Wang Y,et al.A brain-computer interface based on miniature-event-related potentials induced by very small lateral visual stimuli[J].IEEE Transactions on Biomedical Engineering,2018,65(5):1166-1175.
[22]Moses D A,Leonard M K,Chang E F.Real-time classification of auditory sentences using evoked cortical activity in humans[J].Journal of Neural Engineering,2018,15(3):036005.
[23]Jiang L,Stocco A,Losey D M,et al.BrainNet:A multi-person brain-to-brain interface for direct collaboration between brains[J].arXiv:1809.08632,2018.
[24]Mahmud M,Kaiser M S,Hussain A,et al.Applications of deep learning and reinforcement learning to biological data[J].IEEE Transactions on Neural Networks and Learning Systems,2018,29(6):2063-2079.
[25]Silva G A.A new frontier:the convergence of nanotechnology,brain machine interfaces,and artificial intelligence[J].Frontiers in Neuroscience,2018,12:843.
[26]Panuccio G,Semprini M,Natale L,et al.Progress in neuroengineering for brain repair:new challenges and open issues[J].Brain and Neuroscience Advances,2018,2:1-11.
[27]Lotte F,Bougrain L,Cichocki A,et al.A review of classification algorithms for EEG-based brain-computer interfaces:A10 year update[J].Journal of Neural Engineering,2018,15(3):031005.
[28]Wang Y,Chen X,Gao X,et al.A benchmark dataset for SS-VEP-based brain-computer interfaces[J].IEEE Transactions on Neural Systems and Rehabilitation Engineering,2017,25(10):1746-1752.
[29]Lindgren J T,Merlini A,Lecuyer A,et al.SimBCI-A framework for studying BCI methods by simulated EEG[J].IEEETransactions on Neural Systems and Rehabilitation Engineering,2018,26(11):2096-2105.
[30]Bin G,Gao X,Wang Y,et al.A high-speed BCI based on code modulation VEP[J].Journal of Neural Engineering,2011,8(2):025015.
[31]Chen X,Chen Z,Gao S,et al.A high-ITR SSVEP-based BCI speller[J].Brain-Computer Interfaces,2014,1(3/4):181-191.
[32]Chen X,Wang Y,Gao S,et al.Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain-computer interface[J].Journal of Neural Engineering,2015,12(4):046008.
[33]Townsend G,Platsko V.Pushing the P300-based brain-computer interface beyond 100 bpm:Extending performance guided constraints into the temporal domain[J].Journal of Neural Engineering,2016,13(2):026024.
[34]Ahn J W,Ku Y,Kim D Y,et al.Wearable in-the-ear EEGsystem for SSVEP-based brain-computer interface[J].Electronics Letters,2018,54(7):413-414.
[35]Zao J K,Chien Y Y,Lin F C,et al.Intelligent virtual-reality head-mounted displays with brain monitoring and visual function assessment[J].SID Symposium Digest of Technical Papers,2018,49(1):475-478.
[36]Stopczynski A,Stahlhut C,Larsen J E,et al.The smartphone brain scanner:A portable real-time neuroimaging system[J].PLoS One,2014,9(2):e86733.
[37]Ienca M,Haselager P,Emanuel E J.Brain leaks and consumer neurotechnology[J].Nature Biotechnology,2018,36(9):805-810.
[2]Chen X,Wang Y,Nakanishi M,et al.High-speed spelling with a noninvasive brain-computer interface[J].PNAS,2015,112(44):E6058-E6067.
[3]Chen X,Zhao B,Wang Y,et al.Control of a 7-DOF robotic arm system with an SSVEP-based BCI[J].International Journal of Neural Systems,2018,28(8):1850018.
[4]Marshall D,Coyle D,Wilson S,et al.Games,gameplay,and BCI:The state of the art[J].IEEE Transactions on Computational Intelligence and AI in Games,2013,5(2):82-99.
[5]Miranda R A,Casebeer W D,Hein A M,et al.DARPA-funded efforts in the development of novel brain-computer interface technologies[J].Journal of Neuroscience Methods,2015,244:52-67.
[6]Gao S,Wang Y,Gao X,et al.Visual and auditory brain-computer interfaces[J].IEEE Transactions on Biomedical Engineering,2014,61(5):1436-1447.
[7]Yang G Z,Bellingham J,Dupont P E,et al.The grand challenges of Science Robotics[J].Science Robotics,2018,3(14):eaar7650.
[8]Nonsurgical neural interfaces could significantly expand use of neurotechnology[EB/OL].(2018-03-16).https://www.darpa.mil/news-events/2018-03-16.
[9]Schwemmer M A,Skomrock N D,Sederberg P B,et al.Meeting brain-computer interface user performance expectations using a deep neural network decoding framework[J].Nature Medicine,2018,24(11):1669-1676.
[10]Biasiucci A,Leeb R,Iturrate I,et al.Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke[J].Nature Communications,2018,9(1):2421.
[11]Perdikis S,Tonin L,Saeedi S,et al.The Cybathlon BCI race:Successful longitudinal mutual learning with two tetraplegic users[J].PLoS Biology,2018,16(5):e2003787.
[12]Ganesh G,Nakamura K,Saetia S,et al.Utilizing sensory prediction errors for movement intention decoding:A new methodology[J].Science Advances,2018,4(5):eaaq0183.
[13]Hebert C,Masvidal-Codina E,Suarez-Perez,A,et al.Flexible graphene solution-gated field-effect transistors:Efficient transducers for micro-electrocorticography[J].Advanced Functional Materials,2018,28(12):1703976.
[14]Boto E,Holmes N,Leggett J,et al.Moving magnetoencephalography towards real-world applications with a wearable system[J].Nature,2018,555(7698):657-661.
[15]Nakanishi M,Wang Y,Chen X,et al.Enhancing detection of SSVEPs for a high-speed brain speller using task-related component analysis[J].IEEE Transactions on Biomedical Engineering,2018,65(1):104-112.
[16]Xing X,Wang Y,Pei W,et al.A high-speed SSVEP-based BCI using dry EEG electrodes[J].Scientific Reports,2018,8(1):14708.
[17]Zhang Y,Wang Y,Zhou G,et al.Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces[J].Expert Systems with Applications,2018,96:302-310.
[18]Wei C S,Lin Y P,Wang Y T,et al.A subject-transfer framework for obviating inter-and intra-subject variability in EEG-based drowsiness detection[J].Neuroimage,2018,174:407-419.
[19]Lawhern V J,Solon A J,Waytowich N R,et al.EEGNet:Acompact convolutional neural network for EEG-based braincomputer interfaces[J].Journal of Neural Engineering,2018,15(5):056013.
[20]Meng J,Streitz T,Gulachek N,et al.Three-dimensional brain-computer interface control through simultaneous overt spatial attentional and motor imagery tasks[J].IEEE Transactions on Biomedical Engineering,2018,65(11):2417-2427.
[21]Xu M,Xiao X,Wang Y,et al.A brain-computer interface based on miniature-event-related potentials induced by very small lateral visual stimuli[J].IEEE Transactions on Biomedical Engineering,2018,65(5):1166-1175.
[22]Moses D A,Leonard M K,Chang E F.Real-time classification of auditory sentences using evoked cortical activity in humans[J].Journal of Neural Engineering,2018,15(3):036005.
[23]Jiang L,Stocco A,Losey D M,et al.BrainNet:A multi-person brain-to-brain interface for direct collaboration between brains[J].arXiv:1809.08632,2018.
[24]Mahmud M,Kaiser M S,Hussain A,et al.Applications of deep learning and reinforcement learning to biological data[J].IEEE Transactions on Neural Networks and Learning Systems,2018,29(6):2063-2079.
[25]Silva G A.A new frontier:the convergence of nanotechnology,brain machine interfaces,and artificial intelligence[J].Frontiers in Neuroscience,2018,12:843.
[26]Panuccio G,Semprini M,Natale L,et al.Progress in neuroengineering for brain repair:new challenges and open issues[J].Brain and Neuroscience Advances,2018,2:1-11.
[27]Lotte F,Bougrain L,Cichocki A,et al.A review of classification algorithms for EEG-based brain-computer interfaces:A10 year update[J].Journal of Neural Engineering,2018,15(3):031005.
[28]Wang Y,Chen X,Gao X,et al.A benchmark dataset for SS-VEP-based brain-computer interfaces[J].IEEE Transactions on Neural Systems and Rehabilitation Engineering,2017,25(10):1746-1752.
[29]Lindgren J T,Merlini A,Lecuyer A,et al.SimBCI-A framework for studying BCI methods by simulated EEG[J].IEEETransactions on Neural Systems and Rehabilitation Engineering,2018,26(11):2096-2105.
[30]Bin G,Gao X,Wang Y,et al.A high-speed BCI based on code modulation VEP[J].Journal of Neural Engineering,2011,8(2):025015.
[31]Chen X,Chen Z,Gao S,et al.A high-ITR SSVEP-based BCI speller[J].Brain-Computer Interfaces,2014,1(3/4):181-191.
[32]Chen X,Wang Y,Gao S,et al.Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain-computer interface[J].Journal of Neural Engineering,2015,12(4):046008.
[33]Townsend G,Platsko V.Pushing the P300-based brain-computer interface beyond 100 bpm:Extending performance guided constraints into the temporal domain[J].Journal of Neural Engineering,2016,13(2):026024.
[34]Ahn J W,Ku Y,Kim D Y,et al.Wearable in-the-ear EEGsystem for SSVEP-based brain-computer interface[J].Electronics Letters,2018,54(7):413-414.
[35]Zao J K,Chien Y Y,Lin F C,et al.Intelligent virtual-reality head-mounted displays with brain monitoring and visual function assessment[J].SID Symposium Digest of Technical Papers,2018,49(1):475-478.
[36]Stopczynski A,Stahlhut C,Larsen J E,et al.The smartphone brain scanner:A portable real-time neuroimaging system[J].PLoS One,2014,9(2):e86733.
[37]Ienca M,Haselager P,Emanuel E J.Brain leaks and consumer neurotechnology[J].Nature Biotechnology,2018,36(9):805-810.
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