LSTM-based decoder design andclosed-loop BMI system formulation Click Copy

LSTM-based decoder design andclosed-loop BMI system formulation

References:

[1] Pan H G,Ding B C,Zhong W,et al.Designing closed-loop brain-machine interfaces with network of spiking neurons using MPC strategy[C]//American Control Conference.IEEE,2016:2543-2548. [2]Iturrate I,Antelis J M,Kubler A,et al.A noninvasive brain-actuated wheelchair based on a P300 neurophysiological protocoland automated navigation[J].IEEE Transactions on Robotics,2009,25(3):614-627. [3]琚 芬,赵晨光,袁 华,等.脑机接口在康复医学中的应用进展[J].中国康复,2017,32(6):508-511. JU Fen,ZHAO Chen-guang,YUAN Hua,et al.Application progress of brain-computer interface in rehabilitation medicine[J].China Re-habilitation,2017,32(6):508-511. [4]Shi M H,Zhou C L,Xie J,et al.Electroencephalogram-based brain-computer interface for the Chinese spelling system:a survey[J].Frontiers of Information Technology & Electronic Engineering,2018,19(3):423-436. [5]Suyama T.A network-type brain-machine interface to support activities of daily living[J].Ieice Transactions on Communications,2016,99(9):1930-1937. [6]孙京诰,戚 川,潘红光.基于数据驱动的闭环脑机接口设计[J].华东理工大学学报(自然科学版),2017,43(5):655-661. SUN Jing-hao,QI Chuan,PAN Hong-guang.Design of closed-loop brain-machine interface based on data-driven[J].Journal of East China University of Science and Technology(Natural Science Edition),2017,43(5):655-661. [7]Golub M D,Yu B M,Schwartz A B,et al.Motor cortical control of movement speed with implications for brain-machine interface control[J].Journal of Neurophysiology,2014,112(2):411-429. [8]Shanechi M M,Orsborn A L,Moorman H G,et al.Rapid control and feedback rates enhance neuroprosthetic control[J].Nature Communications,2017(8):13825. [9]潘家辉,冯 宝.脑机接口中脑电信号的特征提取和模式分类[J].计算机系统应用,2015,24(8):268-272. PAN Jia-hui,FENG Bao.Feature extraction and pattern classification of EEG signals in brain-machine interface[J].Computer System Applications,2015,24(8):268-272. [10]Wodlinger B,Downey J E,Tyler-Kabara E C,et al.Ten-dimensional anthropomorphic arm control in a human brain?machine interface:difficulties,solutions,and limitations[J].Journal of Neural Engineering,2015,12(1):016011. [11]Hong Z,Yanxin W,Changcheng W,et al.Closed-loop hybrid gazebrain-machine interface based robotic arm control with augmented reality feedback[J].Frontiers in Neurorobotics,2017,11(60):60-73. [12]Orsborn A.Closed-loop design of brain-machine interface systems[D].Berkeley San Francisco:University of California-Berkeley,2013. [13]Hortal E,Planelles D,Costa A,et al.SVM-based brain-machine interface for controlling a robot arm through four mental tasks[J].Neurocomputing,2015,151:116-121. [14]Abdullah,Subari,Loong,et al.Analysis of effective channel placement for an EEG-based biometric system[C]//Biomedical Engineering & Sciences.IEEE,2011:303-306. [15]Bullock D,Cisek P,Grossberg S.Cortical networks for control of voluntary arm movements under variable force conditions[J].Cerebral Cortex,1998,8(1):48-62. [16]Kumar G,Schieber M H,Thakor N V,et al.Designing closed-loop brain-machine interfacesusing optimal receding horizoncontrol[C]//American Control Conference.IEEE,2013:5029-5034. [17]Dangi S,Gowda S,Heliot R,et al.Adaptive kalman filtering for closed-loop brain-machine interface systems[C]//International IEEE/EMBS Conference on Neural Engineering.IEEE,2011:609-612. [18]Sussillo D,Nuyujukian P,Fan J M,et al.A recurrent neural network for closed-loop intracortical brain machine interface decoders[J].Journal of Neural Engineering,2012,9(2):026027. [19]Hochreiter S,Schmidhuber J.Long short-term memory[J].Neural Computation,1997,9(8):1735-1780. [20]Gao L,Zhao G,Zhang H W,et al.Video captioning with attention-based LSTM and semantic consistency[J].IEEE Transactions on Multimedia,2017,9(19):2045-2055. [21]李伟山,王 琳,卫 晨.LSTM在煤矿瓦斯预测预警系统中的应用与设计[J].西安科技大学学报,2018(6):1027-1035. LI Wei-shan,WANG Lin,WEI Chen.Application and design of LSTM in coal mine gas prediction and warning system[J].Journal of Xi'an University of Science and Technology,2018(6):1027-1035. [22]Hong Z,Yanxin W,Changcheng W,et al.Closed-loop hybrid gaze brain-machine interface based robotic arm control with augmented reality feedback[J].Frontiers in Neurorobotics,2017,11:60-73. [23]潘红光,米文毓,邓 军,等.基于改进单关节信息传输模型的闭环脑机接口系统设计[J/OL].控制理论与应用,2019-06-11. PAN Hong-guang,MI Wen-yu,DENG Jun,et al.Closed-loop brain-machine interface system design based on improved single-joint information transmission model[J/OL].Control Theory & Application,2019-06-11. [24]Hou Z,Huang W.The model-free learning adaptive control of a class of nonlinear discrete-time systems[J].IFAC Proceedings Volumes,1998,15(6):893-899. [25]Li M,Branson D,Jian S D,et al.Model-free control for continuum robots based on an adaptive kalman filter[J].IEEE/ASME Transactions on Mechatronics,2018,1(23):286-297.

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收稿日期:2019-04-22 责任编辑:高 佳
基金项目:国家自然科学基金(61603295); 中国博士后基金(2017M623207); 陕西省自然科学基础研究计划(2018JM6003); 西安科技大学优秀青年科技基金(2018YQ2-07)
通信作者:潘红光(1983-),男,山东临沂人,博士,讲师,E-mail:hongguangpan@163.com