A REVIEW ON "OCULAR ARTIFACTS IN EEG AND THEIR REMOVALTECHNIQUES"

• Main Authors: M. N. Tibdewal IEEE member, Prachi V. Lonkar
• Format: Article
• Language: English
• Published: Yeshwantrao Chavan College of Engineering, India 2017-07-01
• Series: Journal of Research in Engineering and Applied Sciences
• Subjects: eeg(electroencephalogram); oa(ocular artifacts); wavelet transform; ica(independent component analysis); ann(artificial neural network)
• Online Access: http://www.mgijournal.com/Data/Issues_AdminPdf/105/6-Volume%202%20Issue%204%20%20October%202017.pdf

This paper presents an extensive review on understanding all types of EEG artifacts which are incorporated in EEG signals while taking measurements from scalp of the different subjects. Artifacts which are more prominent and occurred very often are 'Ocular artifacts'. The characteristics of an EEG signal having OA's are mentioned and explained in the paper. Ocular artifacts have a large impact on measurement. Reasons for inclusion of these artifacts and why the elimination is essential have been explained in this paper. Artifacts can be also named as noise; and noise has to be removed from the signal. For removing the OA's signal modeling is essential. Many Artifact correction approaches have been developed to provide reliable results of identification detection and removal. The different methods like ICA, WT, ANN etc and their characteristics which are explained by the researchers is the main review part of this paper which will give us an idea of building a more accurate system algorithm to remove ocular artifacts from the contaminated EEG signal. In This paper, the different methods and their result parameters along with their values have been given in the tabular form.