EEG De-Noising Based on Wavelet Transformation
Lanlan Yu · 2009
EEG is one of the mini-voltages. In order to improve the performance of EEG and increase the measure efficiency, we must eliminate the noise in EEG. Wavelet transformation is a kind of analytical tool in time-scale domain. It has the feature of multi-resolution analysis and the adaptation characteristic for signal. A noise rejection method with wavelet transformation was proposed here which is used to eliminate noises such as electrode disturbance, baseline movement, EMG noise and so on. At the same time, we use these methods mentioned above for emulation verify in clinical EEG de-noising. Experiments show that the wavelet transformation technology has good efficiency in EEG noise rejection.