Eeg Practical Processing Technology

The various kinds of brain illness and illness of neural system and social aging make brain science become the most challenging research in the 21st century. The brain electrophysiological signals, including electroencephalogram (EEG) and evoked potentials (EP), contain a lot of important information about the physiological states and functional activities of brain. How to process and analyze EEG effectively is significant for brain science research and brain illness diagnosis. The wavelet transform, which produces a good local representation of the signal in both time and frequency domain, provides an important tool in signal analysis and feature extraction. The main research work of this paper focuses on the application of wavelet transform and complexity measure in EEG detection technique and analysis methods, which could be summarized as the following three aspects:( 1) EEG noise rejection: EEG is the unbalanced and random signal with strong noise .It is an important work to reject the noise from EEG effectively for EEG signal analysis and disposal. Considering that wavelet transform is a kind of good analytical tool in time-frequency partial domain, this paper mainly finishes these works using wavelet transform methods as follows:â‘  eliminating white noise in EEG using wavelet threshold values â‘¡eliminating baseline movement in EEG using wavelet decomposition and reshapeâ‘¢eliminating muscle disturbance in EEG using wavelet decomposition and reshape and max-module method. Finally, using these methods mentioned above in clinical EEG disposal and the MATLAB experiment result indicates: the method mentioned in this paper has great effect in EEG noise rejection.(2) Extraction of Evoked Potential: The EP is an important feature for neuroscience studies and clinical diagnosis. However, extracting EPs with traditional averaging method always results in a serious loss of transient information, adding pain to the testee, as well as the reduction of reliability. So it is urgent to develop a new method which could extract EPs fast inside and outside. In this thesis, we study the application of wavelet method in extraction of...