The EEG Signal Process Based on EEMD

Hilbert Huang Transform (HHT), which is based on EMD (Empirical Mode Decomposition) and Hilbert transform method, is a new signal analysis method. It suits for analyzing the non-linear and non-stationary signals, such as EEG signal particularly. The traditional EMD method has the Mode Mixing problem. Therefore a new method basing on Ensemble Empirical Mode Decomposition (EEMD) for processing the signal has been approached in this paper. This method can effectively ensure the integrity of signal´s mapping in the different regions through adding random white noise component into the original data, and overcome the mode mixing problem of traditional EMD decomposition.