Literature DB >> 18316226

Stimulator selection in SSVEP-based BCI.

Zhenghua Wu1, Yongxiu Lai, Yang Xia, Dan Wu, Dezhong Yao.   

Abstract

Steady-state visual evoked potentials (SSVEP) are increasingly used in the development of brain-computer interface techniques (BCI). 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.

Mesh:

Year:  2008        PMID: 18316226     DOI: 10.1016/j.medengphy.2008.01.004

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  18 in total

Review 1.  Brain computer interfaces, a review.

Authors:  Luis Fernando Nicolas-Alonso; Jaime Gomez-Gil
Journal:  Sensors (Basel)       Date:  2012-01-31       Impact factor: 3.576

2.  Mental fatigue level detection based on event related and visual evoked potentials features fusion in virtual indoor environment.

Authors:  Hachem A Lamti; Mohamed Moncef Ben Khelifa; Vincent Hugel
Journal:  Cogn Neurodyn       Date:  2019-01-29       Impact factor: 5.082

Review 3.  A survey of stimulation methods used in SSVEP-based BCIs.

Authors:  Danhua Zhu; Jordi Bieger; Gary Garcia Molina; Ronald M Aarts
Journal:  Comput Intell Neurosci       Date:  2010-03-07

4.  Visuocortical changes during delay and trace aversive conditioning: evidence from steady-state visual evoked potentials.

Authors:  Vladimir Miskovic; Andreas Keil
Journal:  Emotion       Date:  2013-02-11

5.  Assisted closed-loop optimization of SSVEP-BCI efficiency.

Authors:  Jacobo Fernandez-Vargas; Hanns U Pfaff; Francisco B Rodríguez; Pablo Varona
Journal:  Front Neural Circuits       Date:  2013-02-25       Impact factor: 3.492

6.  Multiple frequencies sequential coding for SSVEP-based brain-computer interface.

Authors:  Yangsong Zhang; Peng Xu; Tiejun Liu; Jun Hu; Rui Zhang; Dezhong Yao
Journal:  PLoS One       Date:  2012-03-06       Impact factor: 3.240

Review 7.  Review of brain encoding and decoding mechanisms for EEG-based brain-computer interface.

Authors:  Lichao Xu; Minpeng Xu; Tzyy-Ping Jung; Dong Ming
Journal:  Cogn Neurodyn       Date:  2021-04-10       Impact factor: 3.473

Review 8.  A dynamic selection method for reference electrode in SSVEP-based BCI.

Authors:  Zhenghua Wu; Sheng Su
Journal:  PLoS One       Date:  2014-08-06       Impact factor: 3.240

9.  Real Time Driver's Drowsiness Detection by Processing the EEG Signals Stimulated with External Flickering Light.

Authors:  Amjad Hashemi; Valiallah Saba; Seyed Navid Resalat
Journal:  Basic Clin Neurosci       Date:  2014

10.  Improvement of classification accuracy in a phase-tagged steady-state visual evoked potential-based brain computer interface using multiclass support vector machine.

Authors:  Chia-Lung Yeh; Po-Lei Lee; Wei-Ming Chen; Chun-Yen Chang; Yu-Te Wu; Gong-Yau Lan
Journal:  Biomed Eng Online       Date:  2013-05-21       Impact factor: 2.819

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.