DocumentCode
471490
Title
Removal of ocular artifacts for high resolution EEG studies: a simulation study
Author
Astolfi, Laura ; Cincotti, Febo ; Mattia, Donatella ; Babiloni, Fabio ; Marciani, Maria Grazia ; Fallani, Fabrizio De Vico ; Mattiocco, Marco ; Miwakeichi, Fumikazu ; Yamaguchi, Yoko ; Martinez, Pablo ; Salinari, Serenella ; Tocci, Andrea ; Bakardjian, Ho
Author_Institution
IRCCS, Fondazione Santa Lucia, Rome
fYear
2006
fDate
Aug. 30 2006-Sept. 3 2006
Firstpage
976
Lastpage
979
Abstract
Eye movements and blinks may produce unusual voltage changes that propagates from the eyeball through the head as volume conductor up to the scalp electrodes, generating severe electroencephalographic artifacts. Several methods are now available to correct the distortion induced by these events on the EEG, having different advantages and drawbacks. The main focus of this work is to quantify the performance of the removal of EOG artifact due to the application of the independent component analysis (ICA) methodology. The precise quantification of the effects of artifact removal by ICA is possible by using a simulation setup, with a realistic head model, that it is able to mimic the occurrence of an eye blink. The electrical activity generated by the simulated eyeblink were propagated through the realistic head model and superimposed to a clean segment of EEG. Then, artifact removal was performed by using the ICA approach. Ocular artifact removal was evaluated in different operative conditions, characterized by different signal to noise ratio and number of electrodes. The error measures used were the relative error and the correlation coefficient between the clear, original EEG segment and those obtained after the application of the ICA procedure
Keywords
biomedical electrodes; electro-oculography; electroencephalography; independent component analysis; medical signal processing; EOG artifact removal; ICA; correlation coefficient; electrical activity; electrode number; electroencephalographic artifacts; eye blinks; eye movements; high resolution EEG; independent component analysis; ocular artifact removal; realistic head model; relative error; signal to noise ratio; Brain modeling; Electroencephalography; Electrooculography; Head; Independent component analysis; Laboratories; Scalp; Signal generators; Signal resolution; Source separation; EEG; EOG; ICA; high resolution EEG; realistic head model;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location
New York, NY
ISSN
1557-170X
Print_ISBN
1-4244-0032-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2006.260593
Filename
4461916
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