Evaluation criteria of biological artifacts removal rate from EEG signals

EEG is one of the most important bioelectrical signals that plays a vital role in investigation of brain activities in clinical applications as well as Brain-Computer-Interface systems. The major facing obstacle is that the EEG signals are often affected by a variety of large signal contaminations or artifacts, which reduce their usefulness. Various approaches have been introduced to remove the artifacts from EEG signals, but since the artifact-free EEG signal is practically not accessible as a comparison referent so the precise evaluation of the artifact removal level is not possible, which makes it impossible to realize how useful the obtained EEG signal is. However, several metrics have been proposed to measure the EEG artifact removal success rate. Various evaluation criteria are presented and analyzed in this paper.