Stimulator selection in SSVEP-based BCI

被引:151
|
作者
Wu, Zhenghua [1 ]
Lai, Yongxiu [1 ]
Xia, Yang [1 ]
Wu, Dan [1 ]
Yao, Dezhong [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Life Sci & Technol, Ctr Neuroinformat, Chengdu 610054, Peoples R China
基金
中国国家自然科学基金;
关键词
Steady-state visual evoked potential (SSVEP); Brain-computer interface (BCI); Light-emitting diode (LED); Cathode ray tube (CRT); Liquid crystal display (LCD);
D O I
10.1016/j.medengphy.2008.01.004
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Steady-state visual evoked potentials (SSVEP) are increasingly used in the development of brain-computer interface techniques (130). We investigated the spectrum differences of three kinds of flickers and the differences in SSVEPs evoked by three different stimulators, i.e. the light-emitting diode, the cathode ray tube of a desktop monitor and the liquid crystal display of a laptop screen. The results showed that the SSVEP differences were strongly related to the frequency spectrum differences of the flickers. According to these differences, the stimulator was selected based on the complexity of the BCI system. (C) 2008 IPEM. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:1079 / 1088
页数:10
相关论文
共 50 条
  • [31] Optimal Channel Set Selection for SSVEP-based BCI using Spatial Temporal Correlation
    Zhang, Jin
    Yan, Chungang
    Cao, Lei
    Gong, Xiaoliang
    2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD), 2017, : 2038 - 2042
  • [32] An SSVEP-Based BCI System for SMS in a Mobile Phone
    Lin, Jzau-Sheng
    Wang, Mei
    Lia, Pei-Yu
    Li, Zejin
    APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY, 2014, 513-517 : 412 - 415
  • [33] The Effect of Harmonics Count on SSVEP-Based BCI Results
    Kancaoglu, Murat
    Kuntalp, Mehmet
    2019 INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS CONFERENCE (ASYU), 2019, : 110 - 113
  • [34] A high-ITR SSVEP-based BCI speller
    Chen, Xiaogang
    Chen, Zhikai
    Gao, Shangkai
    Gao, Xiaorong
    BRAIN-COMPUTER INTERFACES, 2014, 1 (3-4) : 181 - 191
  • [35] Information Bottleneck as Optimisation Method for SSVEP-Based BCI
    Ingel, Anti
    Vicente, Raul
    FRONTIERS IN HUMAN NEUROSCIENCE, 2021, 15
  • [36] A multimodal approach to estimating vigilance in SSVEP-based BCI
    Wang, Kangning
    Qiu, Shuang
    Wei, Wei
    Zhang, Yukun
    Wang, Shengpei
    He, Huiguang
    Xu, Minpeng
    Jung, Tzyy-Ping
    Ming, Dong
    EXPERT SYSTEMS WITH APPLICATIONS, 2023, 225
  • [37] A phase-coding framework for SSVEP-based BCI
    Yang, Qiuling
    Wu, Pingdong
    SIXTH INTERNATIONAL CONFERENCE ON ELECTRONICS AND INFORMATION ENGINEERING, 2015, 9794
  • [38] Online Adaptation Boosts SSVEP-Based BCI Performance
    Wong, Chi Man
    Wang, Ze
    Nakanishi, Masaki
    Wang, Boyu
    Rosa, Agostinho
    Chen, C. L. Philip
    Jung, Tzyy-Ping
    Wan, Feng
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2022, 69 (06) : 2018 - 2028
  • [39] Direct information transfer rate optimisation for SSVEP-based BCI
    Ingel, Anti
    Kuzovkin, Ilya
    Vicente, Raul
    JOURNAL OF NEURAL ENGINEERING, 2019, 16 (01)
  • [40] SSVEP-based BCI classification using power cepstrum analysis
    Chen, Yeou-Jiunn
    See, Aaron Raymond Ang
    Chen, Shih-Chung
    ELECTRONICS LETTERS, 2014, 50 (10) : 735 - U186