Literature DB >> 20655362

Dual-frequency steady-state visual evoked potential for brain computer interface.

Kuo-Kai Shyu1, Po-Lei Lee, Yu-Ju Liu, Jyun-Jie Sie.   

Abstract

This study presents a new steady-state visual evoked potential (SSVEP) for brain computer interface (BCI) systems. The goal of this study is to increase the number of selections using fewer stimulation frequencies. This study analyzes the SSVEPs induced by six groups of light-emitting diodes (LEDs). The proposed method produces more selections than the number of stimulation frequencies through a suitable combination of dual frequencies for stimulation. Further, the six groups of LEDs are generated by four frequencies. The symmetric harmonic phenomena in this study helps increase recognition efficiency. This study tests seven subjects to verify the feasibility of the proposed method. Copyright (c) 2010 Elsevier Ireland Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20655362     DOI: 10.1016/j.neulet.2010.07.043

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  9 in total

1.  On Visually Evoked Potentials in EEG Induced by Multiple Pseudorandom Binary Sequences for Brain Computer Interface Design.

Authors:  H Nezamfar; U Orhan; D Erdogmus; K E Hild; S Purwar; B Oken; M Fried-Oken
Journal:  Proc IEEE Int Conf Acoust Speech Signal Process       Date:  2011

2.  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

3.  Multi-phase cycle coding for SSVEP based brain-computer interfaces.

Authors:  Jijun Tong; Danhua Zhu
Journal:  Biomed Eng Online       Date:  2015-01-16       Impact factor: 2.819

4.  Decoding of top-down cognitive processing for SSVEP-controlled BMI.

Authors:  Byoung-Kyong Min; Sven Dähne; Min-Hee Ahn; Yung-Kyun Noh; Klaus-Robert Müller
Journal:  Sci Rep       Date:  2016-11-03       Impact factor: 4.379

5.  Brain response to luminance-based and motion-based stimulation using inter-modulation frequencies.

Authors:  Xin Zhang; Guanghua Xu; Jun Xie; Xun Zhang
Journal:  PLoS One       Date:  2017-11-15       Impact factor: 3.240

6.  Objective evaluation of fatigue by EEG spectral analysis in steady-state visual evoked potential-based brain-computer interfaces.

Authors:  Teng Cao; Feng Wan; Chi Man Wong; Janir Nuno da Cruz; Yong Hu
Journal:  Biomed Eng Online       Date:  2014-03-12       Impact factor: 2.819

7.  Generating visual flickers for eliciting robust steady-state visual evoked potentials at flexible frequencies using monitor refresh rate.

Authors:  Masaki Nakanishi; Yijun Wang; Yu-Te Wang; Yasue Mitsukura; Tzyy-Ping Jung
Journal:  PLoS One       Date:  2014-06-11       Impact factor: 3.240

8.  Use of Sine Shaped High-Frequency Rhythmic Visual Stimuli Patterns for SSVEP Response Analysis and Fatigue Rate Evaluation in Normal Subjects.

Authors:  Ahmadreza Keihani; Zahra Shirzhiyan; Morteza Farahi; Elham Shamsi; Amin Mahnam; Bahador Makkiabadi; Mohsen R Haidari; Amir H Jafari
Journal:  Front Hum Neurosci       Date:  2018-05-28       Impact factor: 3.169

9.  A Light Spot Humanoid Motion Paradigm Modulated by the Change of Brightness to Recognize the Stride Motion Frequency.

Authors:  Xin Zhang; Guanghua Xu; Xun Zhang; Qingqiang Wu
Journal:  Front Hum Neurosci       Date:  2018-10-15       Impact factor: 3.169

  9 in total

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