Effect of Preprocessing for Result of Independent component analysis

In recent years, scientists, doctors in the field of biomedical engineering and researchers of the correlated fields have been concentrating on study of activities of bioelectricity of different cortex fields of human brain on the condition of different evocable and cognitive stimulations, and try to test human psychology and physiology, and control exterior environment. Independent component analysis is a tool that can help people to distinguish and understand various EEG signals. To the signal that we know very little, we can get very good explanation by using independent component analysis. In this paper a new algorithm is introduced that is adapted to the preprocessing of data that is dealt with by independent component analysis. This algorithm can not only accelerates the decomposing speed of independent component, but also can get the higher amplitude of extraction of steady-state visual evoked potentials