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- W2384247617 abstract "A feature extraction algorithm was proposed using band power(BP)for a typical ECoG-based brain-computer interface(BCI)system,when the subject imaged movements of either the left small finger or the tongue.In the method the BP features are taken to select the channels,and 11 channels with most distinctive features are selected from 64 channels for analysis.Then,the features of ECoG signals are extracted according to BP,and the dimensions of feature vector are reduced with principal components analysis(PCA).Consequently,two different mental tasks are classified via Fisher linear discriminant analysis(LDA).The results of off-line analysis showed that the algorithm proposed has high classification accuracy for test data set." @default.
- W2384247617 created "2016-06-24" @default.
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- W2384247617 date "2010-01-01" @default.
- W2384247617 modified "2023-09-22" @default.
- W2384247617 title "Feature Extraction of ECoG Signals Using Band Power" @default.
- W2384247617 hasPublicationYear "2010" @default.
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