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Preliminary Study Of The Acquisition And Feature Extraction Methods Thinking EEG

Posted on:2011-05-01Degree:MasterType:Thesis
Country:ChinaCandidate:A S TongFull Text:PDF
GTID:2248330395458315Subject:Machinery and electronics
Abstract/Summary:PDF Full Text Request
The advancement of Brain-Computer interface(BCI) study brings hopes of rehabilitation to the handicapped.And the BCI based on electroencephalograph has been a hotspot for the BCI study,because of its simple structure,safety and convenience of signal acquisition and portage.In this thesis,the characters of the Electroencephalogram(EEG)signal,the concept of the BCI,the domestic and international research status of BCI were introduced first.Then the paradigm of our own was groped for after the paradigm of the movement imagination studies of the groups oversea being studied.For the goal that features of the signal would be extracted effectively,the signal acquired previously was pretreated,and then the signal was analyzed in frequency Domain,Component Analysis of EEG.Data analysis by frequency domain we found the C3and C4Office EEG energy in the vicinity of the greatest distinction between10Hz, analysis of the human brain to imagine the implementation of crossover control. The time domain analysis showed that EEG is indeed related to left and right hand motor imagery suggest, but also the implementation of crossover control. Analysis of EEG components obtained by the human brain preparations of the things had negative wave occurs, but also significantly delayed.
Keywords/Search Tags:EEG, mu-rhythm, time-frequency analysis, feature extraction
PDF Full Text Request
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