Literature DB >> 20729160

Frequency and phase mixed coding in SSVEP-based brain--computer interface.

Chuan Jia1, Xiaorong Gao, Bo Hong, Shangkai Gao.   

Abstract

Frequency coding has been the traditional method implemented in steady-state visual evoked potential (SSVEP)-based brain--computer interfaces (BCI). However, it is limited in terms of possible target numbers and, consequently, inappropriate for certain applications involving liquid crystal display (LCD) with multiple stimuli. This paper proposes an innovative coding method for SSVEP that, through a combination of frequency and phase, increases the number of targets, thus it improves the information transfer rate (ITR). With this method, a BCI system with 15 targets was developed using three stimulus frequencies, which is five times as many targets as the traditional method. Additionally, this paper defines the concept of reference phase, and decodes the EEG by means of Fourier coefficient projections onto the reference phase directions. Through the optimization of lead position, reference phase, data segment length, and harmonic components, the average ITR exceeded 60 bits/min in a simulated online test with ten subjects.

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Mesh:

Year:  2010        PMID: 20729160     DOI: 10.1109/TBME.2010.2068571

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  23 in total

1.  Space-time filter for SSVEP brain-computer interface based on the minimum variance distortionless response.

Authors:  Sarah Negreiros de Carvalho; Guilherme Vettorazzi Vargas; Thiago Bulhões da Silva Costa; Harlei Miguel de Arruda Leite; Luís Coradine; Levy Boccato; Diogo Coutinho Soriano; Romis Attux
Journal:  Med Biol Eng Comput       Date:  2021-04-28       Impact factor: 2.602

2.  Robust frequency recognition for SSVEP-based BCI with temporally local multivariate synchronization index.

Authors:  Yangsong Zhang; Daqing Guo; Peng Xu; Yu Zhang; Dezhong Yao
Journal:  Cogn Neurodyn       Date:  2016-07-19       Impact factor: 5.082

3.  Adaptive-projection intrinsically transformed multivariate empirical mode decomposition in cooperative brain-computer interface applications.

Authors:  Apit Hemakom; Valentin Goverdovsky; David Looney; Danilo P Mandic
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-04-13       Impact factor: 4.226

4.  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 5.  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

6.  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

7.  A Comparison Study of Canonical Correlation Analysis Based Methods for Detecting Steady-State Visual Evoked Potentials.

Authors:  Masaki Nakanishi; Yijun Wang; Yu-Te Wang; Tzyy-Ping Jung
Journal:  PLoS One       Date:  2015-10-19       Impact factor: 3.240

Review 8.  Language model applications to spelling with Brain-Computer Interfaces.

Authors:  Anderson Mora-Cortes; Nikolay V Manyakov; Nikolay Chumerin; Marc M Van Hulle
Journal:  Sensors (Basel)       Date:  2014-03-26       Impact factor: 3.576

9.  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

10.  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

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