A review on the current state of artifact removal methods for electroencephalogram signals

Abstract

Electroencephalograph (EEG) is a highly sensitive device and likely to be contaminated by undesirable non-cerebral potential called artifacts. Artifacts in EEG recordings is the major cause of reduced signal quality and can be caused by various factors such as blinks and eye movement, head movement, heartbeat and so on. The presence of the artifacts, which overlap with signal obtained from the brain, will make it difficult to analyze the information from EEG recordings and may lead to false interpretation of brain activity. In order to obtain such accurate and reliable signal information from EEG, the development of algorithms to identify and remove the artifacts from the signals is necessary. This paper reviews some of the current methods for artifact removal in EEG signals.