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Review on Latest Multichannel EEG Acquisition and Artifact Filtering Methods

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
K. P. Paradeshi, U. D. Kolekar
10.5120/ijca2016907851

K P Paradeshi and U D Kolekar. Article: Review on Latest Multichannel EEG Acquisition and Artifact Filtering Methods. International Journal of Computer Applications 133(5):14-18, January 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {K. P. Paradeshi and U. D. Kolekar},
	title = {Article: Review on Latest Multichannel EEG Acquisition and Artifact Filtering Methods},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {133},
	number = {5},
	pages = {14-18},
	month = {January},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

Electroencephalographic (EEG) signal records the electrical activity of the neurons near the scalp within the brain. Significant artifacts are introduced in the recording of EEG signals which leads to unreliable results. EEG paves the way for diagnosis of many neurological disorders and other abnormalities in the human body. The main aim of research is to get clean EEG signal with enhanced accuracy for proper diagnosis. Extensive research has been conducted in this area with different techniques. This paper reviews some of the important artifact removal techniques for performance enhancement.

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Keywords

EEG, Artifacts, EOG, EMG, ECG, EMA, Adaptive Filtering.