A Study on SSVEP-Based BCI |
| |
Authors: | Zheng-Hua Wu De-Zhong Yao |
| |
Affiliation: | 1.School of Computer Science Engineering,University of Electronic Science and Technology of China,Chengdu,610054,China;2.ey Laboratory for NeuroInformation of Ministry of Education,School of Life Science and Technology,University of Electronic Science and Technology of China,Chengdu,610054,China |
| |
Abstract: | Brain-computer interface (BCI) can help the deformity person finish some basic activities. In this paper, we concern some critical aspects of SSVEP based BCI, including stimulator selection, method of SSVEP extracting in a short time, stimulating frequency selection, and signal electrode selection. The conclusion is that the stimulator type should be based on the complexity of the BCI system, the method based on wavelet analysis is more valid than the power spectrum method in extracting the SSVEP in a short period, and the selections of stimulating frequency and electrode are important in designing a BCI system. These contents are meaningful for implementing a real SSVEP-based BCI. |
| |
Keywords: | Brain-computer interface electroencephalogram steady-state visual evoked potential |
|
| 点击此处可从《电子科技学刊:英文版》浏览原始摘要信息 |
|
点击此处可从《电子科技学刊:英文版》下载免费的PDF全文 |
|