Eye Blink Artifact Removal from Cognitive EEG Data using ICA (Independent Component Analysis)

Abstract

Eye blinking artifacts make electroencephalographic (EEG) elucidation as well as examination more difficult. In this paper, eye blinking artifacts are removed from cognitive EEG records by means of ICA. The blinks of eyes approximately at all times coincide with the event-related potentials (ERP) due to the experiment's design, generating ICA difficulties. To build a new data set, we combined spontaneous blink data with sole tryout ERP data. According to our findings, applying ICA to the combined data set results in a more logical separation, making EEG interpretation and analysis easier.