Empirical mode decomposition of eeg signals for synchronisation analysis

Synchronisation has been proposed as the mechanism for the dynamic integration of neuronal activity required to produce coherent cognitive acts. The detailed study of brain dynamics is expected to enhance understanding of how cognition takes place. In this paper, we introduce a novel method of detection of synchronisation between EEG signals by using empirical mode decomposition (EMD), which decomposes a signal into components known as Intrinsic Mode Functions (IMFs). The results, using simulated signals, suggest that the IMFs may be used to determine the particular frequency bandwidths in which synchronisation phenomena occur.