基于稳态视觉诱发电位的脑控机械绘图系统的研究-电路与系统专业论文.docx

广东工业大学硕士学位论文ABSTRACT 广东工业大学硕士学位论文 ABSTRACT Brain—computer Interface(BCI)is an intelligent system which call translate the intentional EEG to the control commands．It is different from the common way that the human being communicates with each other by utilizing muscle tissue．It realizes that the brain Call directly communicate wi也an external device and constructs a new form of exporting brain information．It has broad applicable prospects in the medical recovery、 intelligent control、entertainment and other fields． At present，the development of BCI is gradually developing from the laboratory research stage to the practical application stage，particularly the BCl which is based on steady-state visual evoked potential(SSVEP)has special advantages such as simple operation，the high information translate rate，without training，etc．That makes it become popular in the brain research field．During the BCI experiments which are based on the steady-state visual evoked potential，the eyes of the operator ale suffered from long and repeated stimulation of visual stimulator．Visual fatigue is a problem that needs to be solved． This paper had designed and implemented a brain control drawing machine which is based on SSVEP,the system Can help the paralyzed people realize their drawing dream． Mainly research works is as follows： 1．It elaborated common analytical method of SSVEP signal，this paper employed canonical correlation analysis(CCA)and the power spectrum e stimation(PSDA)to fast analyse the SSVEP signal，and compared the results of two methods in feature extraction from SSVEP signal．Synthetic results show that the CCA method Call more accurately extract SSVEP signal frequency characteristics and improve system all performance． 2．This paper designed two stages of steady-state visual evoked potentials experiment to study detecting EEG fatigue based on SSVEP BCI．In this paper,we employed power spectrum estimation methods to compute the EEG band specmnn．By comparing the EEG band spectral