Research of Brain-computer Interface Technology Based on LabVIEW

被引:0
|
作者
Zhao, Li [1 ]
Shen, Hui [1 ]
Cui, Shigang [2 ]
Li, Chuo [2 ]
Bian, Yan [2 ]
Xiao, Longteng [2 ]
Liu, Ziman [2 ]
机构
[1] Tianjin Univ Technol & Educ, Dept Automat Engn, Tianjin 300222, Peoples R China
[2] Tianjin Univ Technol & Educ, Tianjin 300222, Peoples R China
关键词
D O I
10.1109/ICNC.2008.401
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The research adopts the classical visual evoked potentials paradigm, designs the stimulation program and experimental scheme base on the labview platform,and the way of visual stimulate is studied in this paper. In this way we can produce event-related potentials more effectively. On the platform in labview,achieve the event-related potential signal acquisition and processing.Explore how extract the weak signal event-related potentials in the background of strong noise rapidly and accurately, and structures based on event-related potentials of the brain machine interface platform.
引用
收藏
页码:72 / +
页数:2
相关论文
共 50 条
  • [41] BRAIN-COMPUTER INTERFACE BASED CONTROL FOR DISABLED
    Sharma, Manish
    Rafiuddin, Nidal
    Sarfaraz, Mohammad
    Khan, Yusuf Uzzaman
    2022 5TH INTERNATIONAL CONFERENCE ON MULTIMEDIA, SIGNAL PROCESSING AND COMMUNICATION TECHNOLOGIES (IMPACT), 2022,
  • [42] Robot Animals Based on Brain-Computer Interface
    Yang XiaLei LeiTieJun Liuand DeZhong Yao The authors are with Key Laboratory for NeuroInformation of Ministry of EducationSchool of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduChina
    Journal of Electronic Science and Technology of China, 2009, 7 (01) : 65 - 68
  • [43] International Collaborations in Brain-Computer Interface (BCI) Research
    Hamadicharef, Brahim
    WEB INFORMATION SYSTEMS AND MINING, PT I, 2011, 6987 : 35 - 42
  • [44] Brain-computer interface classification based on AdaBoost
    Tian, Yin
    Li, Pei-Yang
    Xu, Peng
    Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2013, 42 (05): : 791 - 793
  • [45] Brain-computer interface based on intermodulation frequency
    Chen, Xiaogang
    Chen, Zhikai
    Gao, Shangkai
    Gao, Xiaorong
    JOURNAL OF NEURAL ENGINEERING, 2013, 10 (06)
  • [46] A Brain-Computer Interface based Security System
    Krisshna, Ajit N. L.
    Apoorva, N.
    Kadetotad, Deepak V.
    Ramesh, Divya
    Bhatia, Harsha
    Kedlaya, Madhumita
    Sujatha, B.
    2013 TEXAS INSTRUMENTS INDIA EDUCATORS' CONFERENCE (TIIEC 2013), 2013, : 248 - 252
  • [47] The advantages of the surface Laplacian in brain-computer interface research
    McFarland, Dennis J.
    INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2015, 97 (03) : 271 - 276
  • [48] A Review: Research Progress of Neural Probes for Brain Research and Brain-Computer Interface
    Luo, Jiahui
    Xue, Ning
    Chen, Jiamin
    BIOSENSORS-BASEL, 2022, 12 (12):
  • [49] Research of portable brain-computer interface system based on alpha waves in electroencephalography
    Automation Engineering Department, Tianjin University of Technology and Education, Tianjin 300222, China
    不详
    Xitong Fangzhen Xuebao, 2008, 17 (4748-4750): : 4748 - 4750
  • [50] The research of brain-computer interface based on AAR parameters and neural networks classifier
    Ma, Xin
    2011 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT), VOLS 1-4, 2012, : 2561 - 2564