**Review of Artifact Rejection Methods for Electroencephalographic Systems** Review of Artifact Rejection Methods for Electroencephalographic Systems

DOI: 10.5772/68023

Suguru Kanoga and Yasue Mitsukura Suguru Kanoga and Yasue Mitsukura

Additional information is available at the end of the chapter Additional information is available at the end of the chapter

http://dx.doi.org/10.5772/68023

#### Abstract

Technologies using electroencephalographic (EEG) signals have been penetrated into public by the development of EEG systems. During EEG system operation, recordings ought to be obtained under no restriction of movement for routine use in the real world. However, the lack of consideration of situational behavior constraints will cause technical/biological artifacts that often mixed with EEG signals and make the signal processing difficult in all respects by ingeniously disguising themselves as EEG components. EEG systems integrating gold standard or specialized device in their processing strategies would appear as daily tools in the future if they are unperturbed to such obstructions. In this chapter, we describe algorithms for artifact rejection in multi-/single-channel. In particular, some existing single-channel artifact rejection methods that will exhibit beneficial information to improve their performance in online EEG systems were summarized by focusing on the advantages and disadvantages of algorithms.

Keywords: electroencephalographic signal, artifact rejection, blind source separation, regression, filtering, signal decomposition, non-negative matrix factorization
