An Application of Digital Signal Processor in Brain-computer Interface Based on Steady-State Visual Evoked Potential

被引：2
|
作者：
Zhao, Li [1 ]
Hu, Daofu [1 ]
Xiao, Longteng [1 ]
Shen, Hui [1 ]
Meng, Qingguo [1 ]
机构：
[1] Tianjin Univ Technol & Educ, Sch Automat & Elect Engn, Tianjin, Peoples R China
来源：
2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 2 | 2010年
关键词：
Brain-Computer Interface; DSP; SSVEP;
D O I：
10.1109/ICACC.2010.5486706
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes the disign method of a Brain-Computer Interface(BCI) system based on SSVEP. Achieved an effective collection and processing of SSVEP information through the combination of analog filtering and digital processing; Changed the features which were extracted from the processed signals into control commands to control the peripherals. In this paper, digital signal processor (DSP) is used in BCI, with its superior processing power and rich peripheral resources, a real-time processing and miniature BCI system become a realization.
引用
收藏
页码：579 / 583
页数：5
相关论文
共 50 条
  • [41] Single stimulus location for two inputs: A combined brain-computer interface based on Steady-State Visual Evoked Potential (SSVEP)
    Wang, Lu
    Zhang, Zhenhao
    Han, Dan
    Zhang, Zhijun
    Liu, Zhifang
    Liu, Wei
    EUROPEAN JOURNAL OF NEUROSCIENCE, 2021, 53 (03) : 861 - 875
  • [42] Adaptive Time Segment Analysis for Steady-State Visual Evoked Potential Based Brain-Computer Interfaces
    Cecotti, H.
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 28 (03) : 552 - 560
  • [43] Navigating a Smart Wheelchair with a Brain-Computer Interface Interpreting Steady-State Visual Evoked Potentials
    Mandel, Christian
    Lueth, Thorsten
    Laue, Tim
    Roefer, Thomas
    Graeser, Axel
    Krieg-Brueckner, Bernd
    2009 IEEE-RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, 2009, : 1118 - 1125
  • [44] Dual-frequency steady-state visual evoked potential for brain computer interface
    Shyu, Kuo-Kai
    Lee, Po-Lei
    Liu, Yu-Ju
    Sie, Jyun-Jie
    NEUROSCIENCE LETTERS, 2010, 483 (01) : 28 - 31
  • [45] Research on Brain-Computer Interface Technology based on Steady State Visual Evoked Potentials
    Bian, Yan
    Zhao, Li
    Li, Hongwei
    Yang, Genghuang
    Shen, Hui
    Meng, Qingguo
    2010 4TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING (ICBBE 2010), 2010,
  • [46] Controlling a Robot with a Brain-Computer Interface based on Steady State Visual Evoked Potentials
    Prueckl, Robert
    Guger, Christoph
    2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010, 2010,
  • [47] A Brain-Computer Interface Based on Steady State Visual Evoked Potentials for Controlling a Robot
    Prueckl, Robert
    Guger, Christoph
    BIO-INSPIRED SYSTEMS: COMPUTATIONAL AND AMBIENT INTELLIGENCE, PT 1, 2009, 5517 : 690 - 697
  • [48] Performance of a Steady-State Visual Evoked Potential and Eye Gaze Hybrid Brain-Computer Interface on Participants With and Without a Brain Injury
    Brennan, Chris
    McCullagh, Paul
    Lightbody, Gaye
    Galway, Leo
    McClean, Sally
    Stawicki, Piotr
    Gembler, Felix
    Volosyak, Ivan
    Armstrong, Elaine
    Thompson, Eileen
    IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2020, 50 (04) : 277 - 286
  • [49] The Role of Visual Noise in Influencing Mental Load and Fatigue in a Steady-State Motion Visual Evoked Potential-Based Brain-Computer Interface
    Xie, Jun
    Xu, Guanghua
    Luo, Ailing
    Li, Min
    Zhang, Sicong
    Han, Chengcheng
    Yan, Wenqiang
    SENSORS, 2017, 17 (08)
  • [50] Use of Phase in Brain-Computer Interfaces based on Steady-State Visual Evoked Potentials
    Lopez-Gordo, M. A.
    Prieto, A.
    Pelayo, F.
    Morillas, C.
    NEURAL PROCESSING LETTERS, 2010, 32 (01) : 1 - 9
12345