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

<h4>Background</h4>Steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) has become one of the most promising modalities for a practical noninvasive BCI system. Owing to both the limitation of refresh rate of liquid crystal display (LCD) or cathode ray tube (C...

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Autores principales:	Yangsong Zhang, Peng Xu, Tiejun Liu, Jun Hu, Rui Zhang, Dezhong Yao
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2b571e4cdb784c9b825427eb8f550183
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spelling	oai:doaj.org-article:2b571e4cdb784c9b825427eb8f5501832021-11-18T07:25:59ZMultiple frequencies sequential coding for SSVEP-based brain-computer interface.1932-620310.1371/journal.pone.0029519https://doaj.org/article/2b571e4cdb784c9b825427eb8f5501832012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22412829/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) has become one of the most promising modalities for a practical noninvasive BCI system. Owing to both the limitation of refresh rate of liquid crystal display (LCD) or cathode ray tube (CRT) monitor, and the specific physiological response property that only a very small number of stimuli at certain frequencies could evoke strong SSVEPs, the available frequencies for SSVEP stimuli are limited. Therefore, it may not be enough to code multiple targets with the traditional frequencies coding protocols, which poses a big challenge for the design of a practical SSVEP-based BCI. This study aimed to provide an innovative coding method to tackle this problem.<h4>Methodology/principal findings</h4>In this study, we present a novel protocol termed multiple frequencies sequential coding (MFSC) for SSVEP-based BCI. In MFSC, multiple frequencies are sequentially used in each cycle to code the targets. To fulfill the sequential coding, each cycle is divided into several coding epochs, and during each epoch, certain frequency is used. Obviously, different frequencies or the same frequency can be presented in the coding epochs, and the different epoch sequence corresponds to the different targets. To show the feasibility of MFSC, we used two frequencies to realize four targets and carried on an offline experiment. The current study shows that: 1) MFSC is feasible and efficient; 2) the performance of SSVEP-based BCI based on MFSC can be comparable to some existed systems.<h4>Conclusions/significance</h4>The proposed protocol could potentially implement much more targets with the limited available frequencies compared with the traditional frequencies coding protocol. The efficiency of the new protocol was confirmed by real data experiment. We propose that the SSVEP-based BCI under MFSC might be a promising choice in the future.Yangsong ZhangPeng XuTiejun LiuJun HuRui ZhangDezhong YaoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 3, p e29519 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yangsong Zhang Peng Xu Tiejun Liu Jun Hu Rui Zhang Dezhong Yao Multiple frequencies sequential coding for SSVEP-based brain-computer interface.
description	<h4>Background</h4>Steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) has become one of the most promising modalities for a practical noninvasive BCI system. Owing to both the limitation of refresh rate of liquid crystal display (LCD) or cathode ray tube (CRT) monitor, and the specific physiological response property that only a very small number of stimuli at certain frequencies could evoke strong SSVEPs, the available frequencies for SSVEP stimuli are limited. Therefore, it may not be enough to code multiple targets with the traditional frequencies coding protocols, which poses a big challenge for the design of a practical SSVEP-based BCI. This study aimed to provide an innovative coding method to tackle this problem.<h4>Methodology/principal findings</h4>In this study, we present a novel protocol termed multiple frequencies sequential coding (MFSC) for SSVEP-based BCI. In MFSC, multiple frequencies are sequentially used in each cycle to code the targets. To fulfill the sequential coding, each cycle is divided into several coding epochs, and during each epoch, certain frequency is used. Obviously, different frequencies or the same frequency can be presented in the coding epochs, and the different epoch sequence corresponds to the different targets. To show the feasibility of MFSC, we used two frequencies to realize four targets and carried on an offline experiment. The current study shows that: 1) MFSC is feasible and efficient; 2) the performance of SSVEP-based BCI based on MFSC can be comparable to some existed systems.<h4>Conclusions/significance</h4>The proposed protocol could potentially implement much more targets with the limited available frequencies compared with the traditional frequencies coding protocol. The efficiency of the new protocol was confirmed by real data experiment. We propose that the SSVEP-based BCI under MFSC might be a promising choice in the future.
format	article
author	Yangsong Zhang Peng Xu Tiejun Liu Jun Hu Rui Zhang Dezhong Yao
author_facet	Yangsong Zhang Peng Xu Tiejun Liu Jun Hu Rui Zhang Dezhong Yao
author_sort	Yangsong Zhang
title	Multiple frequencies sequential coding for SSVEP-based brain-computer interface.
title_short	Multiple frequencies sequential coding for SSVEP-based brain-computer interface.
title_full	Multiple frequencies sequential coding for SSVEP-based brain-computer interface.
title_fullStr	Multiple frequencies sequential coding for SSVEP-based brain-computer interface.
title_full_unstemmed	Multiple frequencies sequential coding for SSVEP-based brain-computer interface.
title_sort	multiple frequencies sequential coding for ssvep-based brain-computer interface.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/2b571e4cdb784c9b825427eb8f550183
work_keys_str_mv	AT yangsongzhang multiplefrequenciessequentialcodingforssvepbasedbraincomputerinterface AT pengxu multiplefrequenciessequentialcodingforssvepbasedbraincomputerinterface AT tiejunliu multiplefrequenciessequentialcodingforssvepbasedbraincomputerinterface AT junhu multiplefrequenciessequentialcodingforssvepbasedbraincomputerinterface AT ruizhang multiplefrequenciessequentialcodingforssvepbasedbraincomputerinterface AT dezhongyao multiplefrequenciessequentialcodingforssvepbasedbraincomputerinterface
_version_	1718423464369455104

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

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