A new empirical mode decomposition method effectively removes physiological artifacts from human EEG signals.
Proposed EEG artifact-removal method tested experimentally; leaves open validation before clinical or research adoption.
A new method for adaptive filtration of experimental EEG signals in humans and for removal of different physiological artifacts has been proposed. The algorithm of the method includes empirical mode decomposition of EEG, determination of the number of empirical modes that are considered, analysis of the empirical modes and search for modes that contains artifacts, removal of these modes, and reconstruction of the EEG signal. The method was tested on experimental human EEG signals and demonstrated high efficiency in the removal of different types of physiological EEG artifacts.
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Grubov et al. (2018) studied this question.
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