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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yijun Wang Xiaorong Gao Bo Hong Chuan Jia Shangkai Gao |
| Copyright Year | 1983 |
| Abstract | Recently, electroencephalogram (EEG)-based brain- computer interfaces (BCIs) have become a hot spot in the study of neural engineering, rehabilitation, and brain science. In this article, we review BCI systems based on visual evoked potentials (VEPs). Although the performance of this type of BCI has already been evaluated by many research groups through a variety of laboratory demonstrations, researchers are still facing many difficulties in changing the demonstrations to practically applicable systems. On the basis of the literature, we describe the challenges in developing practical BCI systems. Also, our recent work in the designs and implementations of the BCI systems based on steady-state VEPs (SSVEPs) is described in detail. The results show that by adequately considering the problems encountered in system design, signal processing, and parameter optimization, SSVEPs can provide the most useful information about brain activities using the least number of electrodes. At the same time, system cost could be greatly decreased and usability could be readily improved, thus benefiting the implementation of a practical BCI. |
| File Size | 539669 |
| File Format | |
| ISSN | 07395175 |
| Volume Number | 27 |
| Issue Number | 5 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-09-01 |
| Publisher Place | U.S.A. |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Brain computer interfaces Computer interfaces Neural engineering Laboratories Steady-state Signal processing Design optimization Electrodes Costs Usability |
| Content Type | Text |
| Resource Type | Article |
| Subject | Biomedical Engineering |
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