Removal of Artifacts from EEG Signals: A Review

Electroencephalogram (EEG) plays an important role in identifying brain activity and behavior. However, the recorded electrical activity always be contaminated with artifacts and then affect the analysis of EEG signal. Hence, it is essential to develop methods to effectively detect and extract the clean EEG data during encephalogram recordings. Several methods have been proposed to remove artifacts, but the research on artifact removal continues to be an open problem. This paper tends to review the current artifact removal of various contaminations. We first discuss the characteristics of EEG data and the types of different artifacts. Then, a general overview of the state-of-the-art methods and their detail…

• NN
  National Natural Science Foundation of China

  Awards: 4161001, U1713220
• CA
  Chinese Academy of Sciences
• YI
  Youth Innovation Promotion Association of the Chinese Academy of Sciences

  Award: 2018165
• NK
  National Key Research and Development Program of China

  Award: 2017YFB1302704
• YI
  Youth Innovation Promotion Association