Analysis and Research on EEG Signals Based on HHT Algorithm

摘要

In this paper, EEG (electroencephalogram) signals are processed by HHT (Hilbert-Huang Transform). First, a new de-noising method is employed to smooth the EEG signals based on EMD (Empirical Mode Decomposition) and Monte Carol method. Then, the filtered EEG signals are analyzed by Hilbert-Huang Transform to obtain the corresponding Hilbert spectrum. Finally, useful information is extracted on the basis of Hilbert spectrum. Through simulation experiments, the results demonstrate that the Hilbert-Huang Transform can be used for EEG processing, and further illustrate that the Hilbert-Huang Transform exhibits some unique advantages in dealing with EEG.