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A Survey of Stimulation Methods Used in SSVEP-Based BCIs

Brain-computer interface (BCI) systems based on the steady-state visual evoked potential (SSVEP) provide higher information throughput and require shorter training than BCI systems using other brain signals. To elicit an SSVEP, a repetitive visual stimulus (RVS) has to be presented to the user. The...

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Detalles Bibliográficos
Autores principales: Zhu, Danhua, Bieger, Jordi, Garcia Molina, Gary, Aarts, Ronald M.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2833411/
https://www.ncbi.nlm.nih.gov/pubmed/20224799
http://dx.doi.org/10.1155/2010/702357
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author Zhu, Danhua
Bieger, Jordi
Garcia Molina, Gary
Aarts, Ronald M.
author_facet Zhu, Danhua
Bieger, Jordi
Garcia Molina, Gary
Aarts, Ronald M.
author_sort Zhu, Danhua
collection PubMed
description Brain-computer interface (BCI) systems based on the steady-state visual evoked potential (SSVEP) provide higher information throughput and require shorter training than BCI systems using other brain signals. To elicit an SSVEP, a repetitive visual stimulus (RVS) has to be presented to the user. The RVS can be rendered on a computer screen by alternating graphical patterns, or with external light sources able to emit modulated light. The properties of an RVS (e.g., frequency, color) depend on the rendering device and influence the SSVEP characteristics. This affects the BCI information throughput and the levels of user safety and comfort. Literature on SSVEP-based BCIs does not generally provide reasons for the selection of the used rendering devices or RVS properties. In this paper, we review the literature on SSVEP-based BCIs and comprehensively report on the different RVS choices in terms of rendering devices, properties, and their potential influence on BCI performance, user safety and comfort.
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spelling pubmed-28334112010-03-11 A Survey of Stimulation Methods Used in SSVEP-Based BCIs Zhu, Danhua Bieger, Jordi Garcia Molina, Gary Aarts, Ronald M. Comput Intell Neurosci Review Article Brain-computer interface (BCI) systems based on the steady-state visual evoked potential (SSVEP) provide higher information throughput and require shorter training than BCI systems using other brain signals. To elicit an SSVEP, a repetitive visual stimulus (RVS) has to be presented to the user. The RVS can be rendered on a computer screen by alternating graphical patterns, or with external light sources able to emit modulated light. The properties of an RVS (e.g., frequency, color) depend on the rendering device and influence the SSVEP characteristics. This affects the BCI information throughput and the levels of user safety and comfort. Literature on SSVEP-based BCIs does not generally provide reasons for the selection of the used rendering devices or RVS properties. In this paper, we review the literature on SSVEP-based BCIs and comprehensively report on the different RVS choices in terms of rendering devices, properties, and their potential influence on BCI performance, user safety and comfort. Hindawi Publishing Corporation 2010 2010-03-07 /pmc/articles/PMC2833411/ /pubmed/20224799 http://dx.doi.org/10.1155/2010/702357 Text en Copyright © 2010 Danhua Zhu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Zhu, Danhua
Bieger, Jordi
Garcia Molina, Gary
Aarts, Ronald M.
A Survey of Stimulation Methods Used in SSVEP-Based BCIs
title A Survey of Stimulation Methods Used in SSVEP-Based BCIs
title_full A Survey of Stimulation Methods Used in SSVEP-Based BCIs
title_fullStr A Survey of Stimulation Methods Used in SSVEP-Based BCIs
title_full_unstemmed A Survey of Stimulation Methods Used in SSVEP-Based BCIs
title_short A Survey of Stimulation Methods Used in SSVEP-Based BCIs
title_sort survey of stimulation methods used in ssvep-based bcis
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2833411/
https://www.ncbi.nlm.nih.gov/pubmed/20224799
http://dx.doi.org/10.1155/2010/702357
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