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Artifact Removal from EEG Signals

by A. Guruva Reddy, Srilatha Narava
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 77 - Number 13
Year of Publication: 2013
Authors: A. Guruva Reddy, Srilatha Narava
10.5120/13543-1175

A. Guruva Reddy, Srilatha Narava . Artifact Removal from EEG Signals. International Journal of Computer Applications. 77, 13 ( September 2013), 17-19. DOI=10.5120/13543-1175

@article{ 10.5120/13543-1175,
author = { A. Guruva Reddy, Srilatha Narava },
title = { Artifact Removal from EEG Signals },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 77 },
number = { 13 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 17-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume77/number13/13543-1175/ },
doi = { 10.5120/13543-1175 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:50:09.644006+05:30
%A A. Guruva Reddy
%A Srilatha Narava
%T Artifact Removal from EEG Signals
%J International Journal of Computer Applications
%@ 0975-8887
%V 77
%N 13
%P 17-19
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Electroencephalographic (EEG) recordings are often contaminated with several artifacts. Powerline interference and baseline noise is always present in EEG response of every patient. A number of strategies are available to deal with noise effectively both at the time of EEG recording as well as during preprocessing of recorded data. The aim of the paper is to give an overview of the most common sources of noise and review methods for prevention and removal of noise in EEG recording ,including elimination of noise sources.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Artifact Electroencephalogram Line interference.

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