Artifact removal from EEG: A comparison of techniques

Authors:
Publisher website
Google Scholar
Abstract
EEG or Electroencephalography records the electrical activity taking place inside the brain due to communication occurring between neurons which are the constituting cells of the brain. It is an important bio-potential that reflects changes in brain's complex internal activities and hence can provide useful insight into the brain's functioning. In recent times it has been found to be useful in diagnosing neural diseases and also in the development of Human Machine Interfaces (HMI). However, EEG is highly susceptible to being corrupted by non-neural signals called artifacts which can significantly affect the end performance of EEG based system. Several techniques have been proposed in literature to remove these artifacts-automatically as well as manually. This paper tends to review three such techniques which broadly represent the main strategies being used by researchers and neurologists to clean EEG.