Title :
Brain-computer interface based on the high-frequency steady-state visual evoked potential
Author :
Yijun, Wang ; Ruiping, Wang ; Xiaorong, Gao ; Shangkai, Gao
Author_Institution :
Dept. of Biomed. Eng., Tsinghua Univ., Beijing, China
Abstract :
Low-frequency steady-state visual evoked potentials (SSVEPs) are used as the input signal in the present SSVEP-based brain-computer interface (BCI). This prototype system has a high information transfer rate. On the other hand, it has some limitations including visual fatigue, false positive, and some possibility of causing a seizure. These drawbacks can be largely eliminated when using high-frequency stimulations. In this paper, we study the amplitude versus stimulation frequency response of SSVEPs. The signal-to-noise ratio versus frequency curve suggests that the high-frequency SSVEP (>20Hz) could help to construct a practical BCI system.
Keywords :
bioelectric phenomena; biology computing; brain; user interfaces; visual evoked potentials; SSVEP-based brain-computer interface; high-frequency steady-state visual evoked potential; high-frequency stimulation; low-frequency steady-state visual evoked potentials; visual fatigue; Biomedical engineering; Brain computer interfaces; Electroencephalography; Fatigue; Frequency; Light emitting diodes; Rhythm; Scalp; Signal to noise ratio; Steady-state;
Conference_Titel :
Neural Interface and Control, 2005. Proceedings. 2005 First International Conference on
Print_ISBN :
0-7803-8902-6
DOI :
10.1109/ICNIC.2005.1499837