The EEG Signal Process Based on EEMD

Abstract

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.