A Study On Eeg Artifact Removal Techniques

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A.Rajalakshmi, S.S.Sridhar

Abstract

The Electroencephalography (EEG) signals represent the asynchronous electrical activity due to the movement of neurons in the brain. The Electrodes placed upon the scalp are used to measure the small voltage fluctuations that are generated by the ion current flows of active neurons within the brain. EEG has been widely used to analyses brain function. EEG signals are mainly used to treat neurological disorders, in brain Computer Interface (BCI), to detect sleeping disorder, etc., Anyhow the Obtained recorded electrical activity has always been contaminated with different forms of interferences- known as artifacts. They may be both   non-physiological and physiological artifacts . In this study, we studied various supervised and unsupervised artifact removal techniques along with their results which were produced by researchers.  These techniques were compared based on their performance measures, number of channels and datasets. This paper will present a good resource for various artifact removal techniques.

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