A review on artifacts removal techniques for Electroencephalogram signals

Electroencephalography (EEG) is used for the diagnosis of brain disorders (like epilepsy, Amyotrophic Lateral Sclerosis (ALS) etc). Artifacts are the unwanted interference in the EEG signal because of eye movements, blinks, muscle activity, heartbeats, power line noise etc. Different techniques were proposed to get artifacts free EEG signal for improving the accuracy while doing feature extraction and data classification. In this paper, conventional methods for noise removal are described and recent techniques are reviewed.