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
来源：
ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 6, PROCEEDINGS | 2008年
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
  • [31] Person, or property? Brain-Computer Interface technology and the law
    Robb, Lachlan
    Kiel-Chisholm, Scott
    ALTERNATIVE LAW JOURNAL, 2024, 49 (01) : 19 - 25
  • [32] Research on Steady State Visual Evoked Potentials based on Wavelet Packet Technology for Brain-Computer Interface
    Bian, Yan
    Li, Hongwei
    Zhao, Li
    Yang, Genghuang
    Geng, Liqing
    CEIS 2011, 2011, 15
  • [33] Brain-Computer Interface Technology should be Treated with Caution
    Zhang Yanliang
    INTERNATIONAL JOURNAL OF CHINESE & COMPARATIVE PHILOSOPHY OF MEDICINE, 2023, 21 (02): : 69 - 72
  • [34] The Potential of the Brain-Computer Interface for Learning: A Technology Review
    Galway, Leo
    McCullagh, Paul
    Lightbody, Gaye
    Brennan, Chris
    Trainor, David
    CIT/IUCC/DASC/PICOM 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY - UBIQUITOUS COMPUTING AND COMMUNICATIONS - DEPENDABLE, AUTONOMIC AND SECURE COMPUTING - PERVASIVE INTELLIGENCE AND COMPUTING, 2015, : 1555 - 1560
  • [35] Brain-Computer Interface Technology for Speech Recognition: A Review
    AlSaleh, Mashael M.
    Arvaneh, Mahnaz
    Christensen, Heidi
    Moore, Roger K.
    2016 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2016,
  • [36] Research on the Emotions Based on Brain-Computer Technology: A Bibliometric Analysis and Research Agenda
    Yan, Wei
    Liu, Xiaoju
    Shan, Biaoan
    Zhang, Xiangxian
    Pu, Yi
    FRONTIERS IN PSYCHOLOGY, 2021, 12
  • [37] Knowledge mapping and research trends of brain-computer interface technology in rehabilitation: a bibliometric analysis
    Liu, Mingyue
    Fang, Mingzhu
    Liu, Mengya
    Jin, Shasha
    Liu, Bin
    Wu, Liang
    Li, Zhe
    FRONTIERS IN HUMAN NEUROSCIENCE, 2024, 18
  • [38] Brain-computer interface research at the Neil Squire Foundation
    Birch, GE
    Mason, SG
    IEEE TRANSACTIONS ON REHABILITATION ENGINEERING, 2000, 8 (02): : 193 - 195
  • [39] Robot Animals Based on Brain-Computer Interface
    Yang Xia
    Journal of Electronic Science and Technology, 2009, 7 (01) : 65 - 68
  • [40] A virtual reality testbed for brain-computer interface research
    Bayliss, JD
    Ballard, DH
    IEEE TRANSACTIONS ON REHABILITATION ENGINEERING, 2000, 8 (02): : 188 - 190
12345