International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
Volume 24 - Issue 6 |
Published: June 2011 |
Authors: G. Geetha, Dr.S.N.Geethalakshmi |
![]() |
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
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.