A morphological way to remove baseline and spike separation in EEG
Balbir Singh, Arindam Gajendra Mahapatra · 2019
In this work, we have considered the problem of inconsistent sequence order and varying quality of decompositions by independent component analysis (ICA) and presented an alternate way to separate source signals from the electroencephalogram (EEG) using morphological component analysis (MCA) method based on explicit dictionary of independent redundant bases. Using correlation, qualitatively we have compared ICA with MCA's capability to segregate baseline and spike in different EEG data.