Abstract
In this study, we proposed and evaluated the use of the empirical mode decomposition (EMD) technique to extract feature information of the event-related (de) synchronization (ERD/ERS) phenomenon during complex motor imagination of combined body and limb action. The EEG data were separated into intrinsic mode functions (IMFs) using the EMD method and determined the characteristic IMFs by power spectral density (PSD) analysis. Thereafter, the analytic signals of the characteristic IMFs can be obtained by the Hilbert transformation, then extracting the ERD/ERS feature of each single-trial. To verify the effectiveness of this method, ten subjects were tested for distinguishing three kinds of complex motor imagery. The classification performance suggests that the proposed EMD based approach is effective for ERD/ERS feature extraction and is worth for the further application in a brain-computer interface.Keywordscomplex motor imageryevent-related (de) synchronizationempirical mode decompositionintrinsic mode functionsbrain-computer interface
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