I. Introduction
Electroencephalogram (EEG) is a powerful, non-invasive technology exploited in several application domains such as clinical monitoring, diagnosis [1], [2], education and neuro-rehabilitation [3]. As a neuro-imaging technique recording signals from the scalp, EEG is susceptible to artifacts such as Ocular (EOG) and Myographic (EMG) [4]. The presence of such artifacts suppresses the neural information of interest. Hence it is necessary to remove artifacts to enhance the quality of EEG.