A tutorial on empirical mode decomposition in brain research

Brain electrical activity is often recorded via electroencephalogram (EEG) since it can be monitored using noninvasive and affordable recording equipment. When it comes to the analysis of EEG, there is a lack of signal processing technique to deal with the nonstationarity and nonlinearity of EEG signals. Here we present the data-driven algorithm, empirical mode decomposition suitable for the analysis of EEG.