A new muscle artifact removal technique to improve the interpretation of the ictal scalp electroencephalogram
Wim De Clercq, Anneleen Vergult, Bart Vanrumste, Jules van Hees, André Palmini, Wim Van Paesschen, Sabine Van Huffel · 2005
In this paper a new method for muscle artifact removal in EEG is presented, based on Canonical Correlation Analysis (CCA) as a Blind Source Separation technique (BSS). This method is demonstrated on a synthetic data set. The method out-performed a low pass filter with different cutoff frequencies and an Independent Component Analysis (ICA) based technique for muscle artifact removal. The first preliminary results of a clinical study on 26 ictal EEGs of patients with refractory epilepsy illustrated that the removal of muscle artifact results in a better interpretation of the ictal EEG, leading to an earlier detection of the seizure onset and a better localization of the seizures onset zone. These findings make the current method indispensable for every Epilepsy Monitoring Unit.