Pattern enhancement of EEG evoked by mental tasks based on independent component analysis
Xiaopei Wu · Journal of Anhui University · 2008
In this paper,independent component analysis was employed to EEG pattern enhancement of mental tasks.The experiment results showed that ICA can separate the basic rhythms from the multi-channel scalp EEG effectively.By analyzing the frequency spectrum of ICs and the mixing matrix estimated by ICA algorithm,the energy projection of basic rhythms on the scalp electrodes was achieved.Based on that,the relationship between the mental tasks and EEG pattern was studied.