Steady-state visual evoked potential (ssvep) has been widely applied in brain computer interface (BCI) systems. The amplitude and phase features of ssvep were commonly extracted by Fourier analysis method from single-...
详细信息
ISBN:
(纸本)9781424441419
Steady-state visual evoked potential (ssvep) has been widely applied in brain computer interface (BCI) systems. The amplitude and phase features of ssvep were commonly extracted by Fourier analysis method from single-channel EEG data. In the multichannel case, canonical correlation analysis (CCA) has been utilized for the analysis of frequency coding ssvep. This paper presents the analysis of phase codingssvep using CCA. The phase coding scheme consists of six targets flickering at 10Hz, with a 60 degrees phase difference between any two sequential targets. For each target, 20 trials of 8s EEG signal were acquired. Using CCA, we achieve channel selection and extraction of phase features;a classification accuracy of above 80% is obtained, with the length of the time window up to 4s. The results demonstrate that phase codingssvep analysis based on CCA is feasible.
暂无评论