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
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
  • [1] A brain-computer interface based on steady-state visual evoked potential
    Hirose, Hideaki
    Koike, Yasuharu
    [J]. NEUROSCIENCE RESEARCH, 2011, 71 : E203 - E204
  • [2] Review of brain-computer interface based on steady-state visual evoked potential
    Siyu Liu
    Deyu Zhang
    Ziyu Liu
    Mengzhen Liu
    Zhiyuan Ming
    Tiantian Liu
    Dingjie Suo
    Shintaro Funahashi
    Tianyi Yan
    [J]. Brain Science Advances, 2022, 8 (04) : 258 - 275
  • [3] Asynchronous Brain-Computer Interface Based on Steady-State Visual-Evoked Potential
    Xia, Bin
    Li, Xing
    Xie, Hong
    Yang, Wenlu
    Li, Jie
    He, Lianghua
    [J]. COGNITIVE COMPUTATION, 2013, 5 (02) : 243 - 251
  • [4] Brain-computer Interface Based on Steady-state Visual Evoked Potentials
    Friganovic, K.
    Medved, M.
    Cifrek, M.
    [J]. 2016 39TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2016, : 391 - 395
  • [5] Steady-State Visual Evoked Potential based Brain-Computer Interface with Viewing Distance Changes
    Park, Hee-Jin
    Kim, Keun-Tae
    Lee, Seong-Whan
    [J]. 2016 4TH INTERNATIONAL WINTER CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI), 2016,
  • [6] Brain-computer interface based on the high-frequency steady-state visual evoked potential
    Wang, YJ
    Wang, RP
    Gao, XR
    Gao, SK
    [J]. 2005 FIRST INTERNATIONAL CONFERENCE ON NEURAL INTERFACE AND CONTROL PROCEEDINGS, 2005, : 37 - 39
  • [7] Brain-Computer Interface based on Steady-State Visual Evoked Potentials (SSVEP)
    Nawrocka, Agata
    Holewa, Karolina
    [J]. PROCEEDINGS OF THE 2013 14TH INTERNATIONAL CARPATHIAN CONTROL CONFERENCE (ICCC), 2013, : 251 - 254
  • [8] A Dry Electrode Cap and Its Application in a Steady-State Visual Evoked Potential-Based Brain-Computer Interface
    Wu, Xiaoting
    Zheng, Li
    Jiang, Lu
    Huang, Xiaoshan
    Liu, Yuanyuan
    Xing, Lihua
    Xing, Xiao
    Wang, Yijun
    Pei, Weihua
    Yang, Xiaowei
    Liu, Zhiduo
    Wei, Chunrong
    Li, Yamin
    Yuan, Miao
    Chen, Hongda
    [J]. ELECTRONICS, 2019, 8 (10)
  • [9] Stimulus specificity of a steady-state visual-evoked potential-based brain-computer interface
    Ng, Kian B.
    Bradley, Andrew P.
    Cunnington, Ross
    [J]. JOURNAL OF NEURAL ENGINEERING, 2012, 9 (03)
  • [10] Data Analytics in Steady-State Visual Evoked Potential-Based Brain-Computer Interface: A Review
    Zhang, Yue
    Xie, Shane Q.
    Wang, He
    Zhang, Zhiqiang
    [J]. IEEE SENSORS JOURNAL, 2021, 21 (02) : 1124 - 1138