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EEG De-noising using SURE Thresholding based on Wavelet Transforms

by G. Geetha, Dr.S.N.Geethalakshmi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 24 - Number 6
Year of Publication: 2011
Authors: G. Geetha, Dr.S.N.Geethalakshmi
10.5120/2948-3935

G. Geetha, Dr.S.N.Geethalakshmi . EEG De-noising using SURE Thresholding based on Wavelet Transforms. International Journal of Computer Applications. 24, 6 ( June 2011), 29-33. DOI=10.5120/2948-3935

@article{ 10.5120/2948-3935,
author = { G. Geetha, Dr.S.N.Geethalakshmi },
title = { EEG De-noising using SURE Thresholding based on Wavelet Transforms },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 24 },
number = { 6 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 29-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume24/number6/2948-3935/ },
doi = { 10.5120/2948-3935 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:10:18.401056+05:30
%A G. Geetha
%A Dr.S.N.Geethalakshmi
%T EEG De-noising using SURE Thresholding based on Wavelet Transforms
%J International Journal of Computer Applications
%@ 0975-8887
%V 24
%N 6
%P 29-33
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Electroencephalogram (EEG) is a biological signal that represents the electrical activity of the brain. However, the presence of artifacts like electro-oculogram (EOG), Electrocardiogram (ECG), electromyogram (EMG) and power-line noise in the EEG signal is a major problem in the study of brain potentials. Hence, these superfluous signals are needed to be removed. There are various methods for removal of artifacts. This paper discusses a wavelet-based approach for correcting the artifacts generated by eye blinks, eyeball movements and facial muscle movements in EEG.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Wavelets Ocular Artifacts (OA) Muscular Artifacts (MA)

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