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
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.