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Summary: Abstract--EEG-EMG coherence has been recently used to
investigate the motor system in humans. Typically this is
performed by calculating the coherence between a single
EEG electrode and a rectified EMG channel. However, there
are strong biological reasons to expect that the cortical to
muscular communication is many-to-many as opposed to
one-to-one. Here we describe the use of Independent
Component Analysis (ICA) to find linear combinations of
EEG channels and EMG channels separately. Empirical
Mode Decomposition (EMD) is then used to determine
Intrinsic Mode Functions (IMFs) that estimated the envelope
of the EMG ICs. We demonstrate that at least 2 EEG ICs
correspond with EMG IC IMFs with much greater
significance that the pairwise EEG-EMG comparison.
Moreover, the proposed method successfully untangles the
~10Hz and ~30Hz effects of the corticomuscular coupling
which are thought to underlie different neural processes. We
suggest that the ICA/EMD approach is worthy of further
exploration.
Index terms--Electroencephalography, Electromyography,
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