Research Article
EEG De-noising using SURE Thresholding based on Wavelet Transforms
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 24 - Issue 6 |
| Published: June 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 },
year = { 2011 },
volume = { 24 },
number = { 6 },
pages = { 29-33 },
doi = { 10.5120/2948-3935 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2011
%A G. Geetha
%A Dr.S.N.Geethalakshmi
%T EEG De-noising using SURE Thresholding based on Wavelet Transforms%T
%J International Journal of Computer Applications
%V 24
%N 6
%P 29-33
%R 10.5120/2948-3935
%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.
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