Research On Extracting Mind Features From Brain Wave Signal

EEG signalisgenerated by the human brain electrical signal,generally between 2 to 200 ?V.EEG signal contains lots of information such as human spirit,emotion,and state of mind.Based on the analysis of the characteristics of EEG,this paper designs a detector for collecting EEG signals,including signal amplification circuit,filter circuit,data A/D conversion and Bluetooth transmission circuit and power supply circuit.In the aspect of data processing of EEG,this thesis analyzes the limitations of artifact abstraction and empirical mode decomposition and then uses the ensemble empirical mode decomposition to effectively isolate the electrooculogramand effectively denoise the EEG signal.And then it will be convenient to use the fast FFT(Fourier transform)to extract the player's characteristics of frequency domain and qualitativly analysethe state when fousing on game.This thesis also studies about the mind featuresin brain wave.Using the Pearson correlation coefficient method to extract the ? wave,? wave,? wave,? wave signal,and use the original EEG signal to compare with them.Through the four different experience respectively under the game,combined with the relaxation of the experimental analysis,it is found that the ? wave will be significantly increased in the player's EEG signal.Finally,this thesis uses the Java language to develop an App(application)for EEG signal analysis.The application can realize the display of time-domain waveform of the brainwave,the frequency-domain distribution of the EEG,the time of a subject's concentration and a game which base on concentration.