A Survey of Stimulation Methods Used in SSVEP-Based BCIs
Joint Authors
Garcia Molina, Gary
Aarts, Ronald M.
Zhu, Danhua
Bieger, Jordi
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-03-07
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zhu, Danhua& Bieger, Jordi& Garcia Molina, Gary& Aarts, Ronald M.. 2010. A Survey of Stimulation Methods Used in SSVEP-Based BCIs. Computational Intelligence and Neuroscience،Vol. 2010, no. 2010, pp.1-12.
https://search.emarefa.net/detail/BIM-491718
Modern Language Association (MLA)
Zhu, Danhua…[et al.]. A Survey of Stimulation Methods Used in SSVEP-Based BCIs. Computational Intelligence and Neuroscience No. 2010 (2010), pp.1-12.
https://search.emarefa.net/detail/BIM-491718
American Medical Association (AMA)
Zhu, Danhua& Bieger, Jordi& Garcia Molina, Gary& Aarts, Ronald M.. A Survey of Stimulation Methods Used in SSVEP-Based BCIs. Computational Intelligence and Neuroscience. 2010. Vol. 2010, no. 2010, pp.1-12.
https://search.emarefa.net/detail/BIM-491718
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-491718