Title :
Stimulation frequency extraction in SSVEP-based brain-computer interface
Author :
Ming, Cheng ; Xiaorong, Gao ; Shangkai, Gao ; Boliang, Wang
Author_Institution :
Dept. of Comput. Sci., Xiamen Univ., China
Abstract :
A periodogram-based method is used to extract the stimulation frequency in a brain-computer interface (BCI) based on steady-state visual evoked potential (SSVEP). In the system, tens of buttons illuminated at different frequencies are used to generate deterministic sinusoidal responses or SSVEP at the visual cortex, which are derived from the electroencephalogram (EEG) by a suitable electrode array. Based on the periodogram of a time-series, we test the EEG data for the presence of hidden periodic components, which correspond to SSVEP, and extract the stimulation frequencies. The method performs well in simulation, and is applied successfully to real data.
Keywords :
biomedical electrodes; electroencephalography; neurophysiology; spectral analysis; time series; user interfaces; visual evoked potentials; brain-computer interface; electrode array; electroencephalogram; periodogram; steady-state visual evoked potential; stimulation frequency extraction; time series; visual cortex; Biomedical engineering; Bismuth; Brain computer interfaces; Computer science; Data mining; Electroencephalography; Frequency; Random variables; Steady-state; Testing;
Conference_Titel :
Neural Interface and Control, 2005. Proceedings. 2005 First International Conference on
Print_ISBN :
0-7803-8902-6
DOI :
10.1109/ICNIC.2005.1499843