DocumentCode :
1980829
Title :
De-noising of EEG signals using Bayes Shrink based on Coiflet Transform
Author :
Geetha, G. ; Geethalakshmi, S.N.
Author_Institution :
Dept. of Comput. Sci., Avinashilingam Univ. for Women, Coimbatore, India
fYear :
2011
fDate :
14-15 Nov. 2011
Firstpage :
41
Lastpage :
46
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 using threshold called Bayes Shrink based on Coiflet Transform.
Keywords :
electrocardiography; electroencephalography; electromyography; eye; medical signal processing; signal denoising; Bayes shrink; Coiflet transform; EEG signal denoising; biological signal; brain; electrical activity; electro-oculogram; electrocardiogram; electroencephalogram; electromyogram; eye blinks; eyeball movements; facial muscle movements; power-line noise; wavelet-based approach; Muscular Artifacts (MA); Ocular Artifacts (OA); Wavelets;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Advances in Recent Technologies in Communication and Computing (ARTCom 2011), 3rd International Conference on
Conference_Location :
Bangalore
Type :
conf
DOI :
10.1049/ic.2011.0048
Filename :
6193537
Link To Document :
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