Method of Removing Noise from EEG Signals Based on HHT Method

Many noises are interfused into EEG signals when they are measuring. In order to remove the noises effectively, a novel method based on Hilbert Huang Transform, is shown in the thesis. The theories of empirical mode decomposition and instantaneous frequency solution which are two parts of Hilbert-Huang Transformation are discussed in the thesis. Empirical mode decomposion is used to EEG which can be decomposed into a limited number of intrinsic mode functions. Different threshold are used to treat intrinsic mode functions to achieve de-noising. Results: Hilbert-Huang Transformation is demonstrated to be effective in removing the general EEG noise. Compared with the traditional wavelet transform, Hilbert-Huang Transform for EEG de-noising has some advantages. Conclusion: Using HHT method for EEG signals denoising effective and doable.