DocumentCode :
2733826
Title :
Wavelet based ocular artifact removal from EEG signals using ARMA method and adaptive filtering
Author :
Kumar, P. Senthil ; Arumuganathan, R. ; Vimal, C.
Author_Institution :
Dept. of Math. & Comput. Applic., PSG Coll. of Technol., Coimbatore, India
Volume :
3
fYear :
2009
fDate :
20-22 Nov. 2009
Firstpage :
667
Lastpage :
671
Abstract :
A common problem faced during the clinical recording of the electroencephalogram (EEG) signals are the eye-blinks and movement of the eye balls. Eye blinks cause changes to the electric fields around the eyes, and consequently over the scalp. As a result, EEG recordings are often significantly distorted, and their interpretation becomes problematic. A number of methods have been proposed to overcome this problem. In this paper, a method for removal of ocular artifacts is proposed using ARMA (auto-regressive moving average) method with wavelets. A comparison is made for the efficiency of the proposed method without using wavelets. Also, the adaptive filtering technique is used to compare with the proposed method.
Keywords :
adaptive filters; electroencephalography; eye; medical signal processing; ARMA method; EEG signals; adaptive filtering technique; autoregressive moving average; eye ball movement; eye-blinks; wavelet based ocular artifact removal; Adaptive filters; Decision support systems; Electroencephalography; ARMa modeling; Adaptive Filtering; EEG; Ocular Artifacts; RLS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
Type :
conf
DOI :
10.1109/ICICISYS.2009.5358090
Filename :
5358090
Link To Document :
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