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Article: A novel stimulation method for multi-class SSVEP-BCI using intermodulation frequencies

TitleA novel stimulation method for multi-class SSVEP-BCI using intermodulation frequencies
Authors
Issue Date2017
PublisherInstitute of Physics Publishing. The Journal's web site is located at http://www.iop.org/EJ/journal/JNE
Citation
Journal of Neural Engineering, 2017, v. 14 n. 2, p. 026013 How to Cite?
AbstractOBJECTIVE: Steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) has been widely investigated because of its easy system configuration, high information transfer rate (ITR) and little user training. However, due to the limitations of brain responses and the refresh rate of a monitor, the available stimulation frequencies for practical BCI application are generally restricted. APPROACH: This study introduced a novel stimulation method using intermodulation frequencies for SSVEP-BCIs that had targets flickering at the same frequency but with different additional modulation frequencies. The additional modulation frequencies were generated on the basis of choosing desired flickering frequencies. The conventional frame-based 'on/off' stimulation method was used to realize the desired flickering frequencies. All visual stimulation was present on a conventional LCD screen. A 9-target SSVEP-BCI based on intermodulation frequencies was implemented for performance evaluation. To optimize the stimulation design, three approaches (C: chromatic; L: luminance; CL: chromatic and luminance) were evaluated by online testing and offline analysis. MAIN RESULTS: SSVEP-BCIs with different paradigms (C, L, and CL) enabled us not only to encode more targets, but also to reliably evoke intermodulation frequencies. The online accuracies for the three paradigms were 91.67% (C), 93.98% (L), and 96.41% (CL). The CL condition achieved the highest classification performance. SIGNIFICANCE: These results demonstrated the efficacy of three approaches (C, L, and CL) for eliciting intermodulation frequencies for multi-class SSVEP-BCIs. The combination of chromatic and luminance characteristics of the visual stimuli is the most efficient way for the intermodulation frequency coding method.
Persistent Identifierhttp://hdl.handle.net/10722/259417
ISSN
2017 Impact Factor: 3.92
2015 SCImago Journal Rankings: 2.094
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChen, X-
dc.contributor.authorWang, Y-
dc.contributor.authorZhang, S-
dc.contributor.authorGao, S-
dc.contributor.authorHu, Y-
dc.contributor.authorGao, X-
dc.date.accessioned2018-09-03T04:07:06Z-
dc.date.available2018-09-03T04:07:06Z-
dc.date.issued2017-
dc.identifier.citationJournal of Neural Engineering, 2017, v. 14 n. 2, p. 026013-
dc.identifier.issn1741-2560-
dc.identifier.urihttp://hdl.handle.net/10722/259417-
dc.description.abstractOBJECTIVE: Steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) has been widely investigated because of its easy system configuration, high information transfer rate (ITR) and little user training. However, due to the limitations of brain responses and the refresh rate of a monitor, the available stimulation frequencies for practical BCI application are generally restricted. APPROACH: This study introduced a novel stimulation method using intermodulation frequencies for SSVEP-BCIs that had targets flickering at the same frequency but with different additional modulation frequencies. The additional modulation frequencies were generated on the basis of choosing desired flickering frequencies. The conventional frame-based 'on/off' stimulation method was used to realize the desired flickering frequencies. All visual stimulation was present on a conventional LCD screen. A 9-target SSVEP-BCI based on intermodulation frequencies was implemented for performance evaluation. To optimize the stimulation design, three approaches (C: chromatic; L: luminance; CL: chromatic and luminance) were evaluated by online testing and offline analysis. MAIN RESULTS: SSVEP-BCIs with different paradigms (C, L, and CL) enabled us not only to encode more targets, but also to reliably evoke intermodulation frequencies. The online accuracies for the three paradigms were 91.67% (C), 93.98% (L), and 96.41% (CL). The CL condition achieved the highest classification performance. SIGNIFICANCE: These results demonstrated the efficacy of three approaches (C, L, and CL) for eliciting intermodulation frequencies for multi-class SSVEP-BCIs. The combination of chromatic and luminance characteristics of the visual stimuli is the most efficient way for the intermodulation frequency coding method.-
dc.languageeng-
dc.publisherInstitute of Physics Publishing. The Journal's web site is located at http://www.iop.org/EJ/journal/JNE-
dc.relation.ispartofJournal of Neural Engineering-
dc.rightsJournal of Neural Engineering. Copyright © Institute of Physics Publishing.-
dc.rightsThis is an author-created, un-copyedited version of an article published in [insert name of journal]. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at http://dx.doi.org/[insert DOI].-
dc.titleA novel stimulation method for multi-class SSVEP-BCI using intermodulation frequencies-
dc.typeArticle-
dc.identifier.emailHu, Y: yhud@hku.hk-
dc.identifier.authorityHu, Y=rp00432-
dc.identifier.doi10.1088/1741-2552/aa5989-
dc.identifier.pmid28091397-
dc.identifier.hkuros289673-
dc.identifier.volume14-
dc.identifier.issue2-
dc.identifier.spage026013-
dc.identifier.epage026013-
dc.identifier.isiWOS:000413826500006-
dc.publisher.placeUnited Kingdom-

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