Zhenghui Gu

Summary

Affiliation: South China University of Technology
Country: China

Publications

  1. doi request reprint An online semi-supervised brain-computer interface
    Zhenghui Gu
    College of Automation Science and Engineering, South China University of Technology, 510640, China
    IEEE Trans Biomed Eng 60:2614-23. 2013
  2. doi request reprint Discrimination between control and idle states in asynchronous SSVEP-based brain switches: a pseudo-key-based approach
    Jiahui Pan
    School of Automation Science and Engineering, South China University of Technology, Guangzhou, 510640, China
    IEEE Trans Neural Syst Rehabil Eng 21:435-43. 2013
  3. pmc Decoding hand movement velocity from electroencephalogram signals during a drawing task
    Jun Lv
    Center for Brain Computer Interfaces and Brain Information Processing, College of Automation Science and Engineering, South China University of Technology, Wushan Road, Guangzhou, PR China
    Biomed Eng Online 9:64. 2010
  4. pmc Semi-supervised joint spatio-temporal feature selection for P300-based BCI speller
    Jinyi Long
    College of Automation Science and Engineering, South China University of Technology, Guangzhou, 510640 China
    Cogn Neurodyn 5:387-98. 2011
  5. doi request reprint Voxel selection in FMRI data analysis based on sparse representation
    Yuanqing Li
    School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China
    IEEE Trans Biomed Eng 56:2439-51. 2009
  6. doi request reprint Target selection with hybrid feature for BCI-based 2-D cursor control
    Jinyi Long
    School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China
    IEEE Trans Biomed Eng 59:132-40. 2012

Collaborators

Detail Information

Publications6

  1. doi request reprint An online semi-supervised brain-computer interface
    Zhenghui Gu
    College of Automation Science and Engineering, South China University of Technology, 510640, China
    IEEE Trans Biomed Eng 60:2614-23. 2013
    ....
  2. doi request reprint Discrimination between control and idle states in asynchronous SSVEP-based brain switches: a pseudo-key-based approach
    Jiahui Pan
    School of Automation Science and Engineering, South China University of Technology, Guangzhou, 510640, China
    IEEE Trans Neural Syst Rehabil Eng 21:435-43. 2013
    ....
  3. pmc Decoding hand movement velocity from electroencephalogram signals during a drawing task
    Jun Lv
    Center for Brain Computer Interfaces and Brain Information Processing, College of Automation Science and Engineering, South China University of Technology, Wushan Road, Guangzhou, PR China
    Biomed Eng Online 9:64. 2010
    ..Regarding these EEG studies, center-out reaching tasks have been employed. Yet whether hand velocity can be decoded using EEG recorded during a self-routed drawing task is unclear...
  4. pmc Semi-supervised joint spatio-temporal feature selection for P300-based BCI speller
    Jinyi Long
    College of Automation Science and Engineering, South China University of Technology, Guangzhou, 510640 China
    Cogn Neurodyn 5:387-98. 2011
    ..Furthermore, this algorithm is implemented online and the corresponding results demonstrate that our algorithm can improve the adaptiveness of the P300-based BCI speller...
  5. doi request reprint Voxel selection in FMRI data analysis based on sparse representation
    Yuanqing Li
    School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China
    IEEE Trans Biomed Eng 56:2439-51. 2009
    ..Data analysis results in this paper show that this combination of voxels is suitable for decoding tasks and demonstrate the effectiveness of our method...
  6. doi request reprint Target selection with hybrid feature for BCI-based 2-D cursor control
    Jinyi Long
    School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China
    IEEE Trans Biomed Eng 59:132-40. 2012
    ..The average duration of each trial and average accuracy of target selection were 18.19 s and 93.99% , respectively, and each target selection or rejection event was performed within 2 s...