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In this paper, a method for extracting and classifying movement-related brain signals is proposed. A single-trial MEG observation is first processed with a pre-whitening filter so that strong stationary interference is eliminated. Next, a brain signal effective for classification is extracted using an adaptive spatial filter. The extracted signal is then classified with a support vector machine. From...
In this paper, a generalized eigenvalue decomposition (GEVD)- based approach is proposed to remove continuous interferences included in MEG observations. The GEVD-based approach can be interpreted as a general framework of pre-whitening that can be combined with various types of signal separation techniques such as principal component analysis (PCA), independent component analysis (ICA) or adaptive...
Objective: To further evaluate the potential of slew-rate limiting amplifiers to record electrophysiological signals in spite of concurrent transcranial magnetic stimulation (TMS), and to explore the effects of single-pulse TMS on electroencephalographic (EEG) correlates of functional brain activity.Methods: Visual-evoked potentials (VEPs) to checkerboards were recorded in 7 right-handed subjects,...
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