The eye-blinking artifacts detection and elimination in the EEG record

An electroencephalogram (EEG) is often corrupted by different types of artifacts. Many efforts have been made to enhance its quality by reducing the artifact. The EEG contains the technical artifacts (noise from the electricity, amplitude artifact, etc.) and biological artifacts (eye artifacts, EKG and EMG artifacts). This paper is aimed to eye-blinking artifact detection from the video which is recorded with EEG data simultaneously. Detection of eye artifacts is not a simple way and therefore there are many efforts to find out optimal method for eye artifact detection or in better case its elimination. For example the method of Independent Component Analysis (ICA) or artificial neural network was used for this purpose. In this article is described a detection method based on image processing and a artifact elimination by using ICA.