Application of a single-flicker online SSVEP BCI for spatial navigation
Publication Date
May 31, 2017
Authors
Jingjing Chen, Dan Zhang, Andreas K. Engel, Qin Gong, et al
Volume
12
Issue
5
Pages
e0178385
DOI
https://dx.plos.org/10.1371/journal.pone.0178385
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0178385
Scopus
85020006404
Mendeley
http://www.mendeley.com/research/application-singleflicker-online-ssvep-bci-spatial-navigation
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Mendeley | Further Information

{"title"=>"Application of a single-flicker online SSVEP BCI for spatial navigation", "type"=>"journal", "authors"=>[{"first_name"=>"Jingjing", "last_name"=>"Chen", "scopus_author_id"=>"57190375179"}, {"first_name"=>"Dan", "last_name"=>"Zhang", "scopus_author_id"=>"55717554300"}, {"first_name"=>"Andreas K.", "last_name"=>"Engel", "scopus_author_id"=>"55505254700"}, {"first_name"=>"Qin", "last_name"=>"Gong", "scopus_author_id"=>"57190882030"}, {"first_name"=>"Alexander", "last_name"=>"Maye", "scopus_author_id"=>"18536954100"}], "year"=>2017, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-85020006404", "pmid"=>"28562624", "doi"=>"10.1371/journal.pone.0178385", "pui"=>"616527504", "isbn"=>"1111111111", "sgr"=>"85020006404"}, "id"=>"69a35992-b11f-323d-97f8-d078aaa0a770", "abstract"=>"A promising approach for brain-computer interfaces (BCIs) employs the steady-state visual evoked potential (SSVEP) for extracting control information. Main advantages of these SSVEP BCIs are a simple and low-cost setup, little effort to adjust the system parameters to the user and comparatively high information transfer rates (ITR). However, traditional frequency-coded SSVEP BCIs require the user to gaze directly at the selected flicker stimulus, which is liable to cause fatigue or even photic epileptic seizures. The spatially coded SSVEP BCI we present in this article addresses this issue. It uses a single flicker stimulus that appears always in the extrafoveal field of view, yet it allows the user to control four control channels. We demonstrate the embedding of this novel SSVEP stimulation paradigm in the user interface of an online BCI for navigating a 2-dimensional computer game. Offline analysis of the training data reveals an average classification accuracy of 96.9±1.64%, corresponding to an information transfer rate of 30.1±1.8 bits/min. In online mode, the average classification accuracy reached 87.9±11.4%, which resulted in an ITR of 23.8±6.75 bits/min. We did not observe a strong relation between a subject's offline and online performance. Analysis of the online performance over time shows that users can reliably control the new BCI paradigm with stable performance over at least 30 minutes of continuous operation.;", "link"=>"http://www.mendeley.com/research/application-singleflicker-online-ssvep-bci-spatial-navigation", "reader_count"=>18, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Professor > Associate Professor"=>1, "Researcher"=>3, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>1, "Student > Master"=>3, "Student > Bachelor"=>1, "Lecturer"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Professor > Associate Professor"=>1, "Researcher"=>3, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>1, "Student > Master"=>3, "Student > Bachelor"=>1, "Lecturer"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>7, "Unspecified"=>2, "Nursing and Health Professions"=>2, "Medicine and Dentistry"=>1, "Neuroscience"=>3, "Psychology"=>2, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>7}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Neuroscience"=>{"Neuroscience"=>3}, "Psychology"=>{"Psychology"=>2}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}, "Unspecified"=>{"Unspecified"=>2}}, "group_count"=>1}

Scopus | Further Information

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