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Removal of ocular artifact from the EEG: a review Export

Neurophysiologie Clinique/Clinical Neurophysiology, Vol. 30, No. 1. (February 2000), pp. 5-19.

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eeg eog ngd physiological psychophysiological

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Summary Eye movements 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 problematic. A number of methods have been proposed to overcome this problem, ranging from the rejection of data corresponding temporally to large eye movements, to the removal of the estimated effect of ocular activity from the EEG (EOG correction). This paper reviews a number of such methods of dealing with ocular artifact in the EEG, focusing on the relative merits of a variety of EOG correction procedures. Issues discussed include the distinction between frequency and time domain approaches, the number of EOG channels required for adequate correction, estimating correction coefficients from raw versus averaged data, differential correction of different types of eye movement, the most suitable statistical procedure for estimating correction coefficients, the use of calibration trials for the estimation of correction coefficients, and the distinction between `coefficient estimation' and `correction phase' error. A suggested EOG correction algorithm is also described.Resume Les mouvements oculaires produisent des changements de champ electrique autour des yeux, et par consequent sur le scalp (electrooculogramme, EOG) ; cela entraine des distorsions, souvent significatives, du signal EEG, rendant son interpretation problematique. Plusieurs methodes ont ete proposees pour pallier ce probleme ; elles vont du simple rejet des donnees EEG contemporaines a des mouvements oculaires de grande amplitude, a l'elimination plus selective de l'effet specifique de l'activite oculaire sur le signal EEG (correction de l'EOG). Cet article passe en revue la plupart de ces methodes de correction, en soulignant leurs avantages et inconvenients relatifs. Parmi les items discutes figurent la distinction entre les approches frequentielles et temporelles, le nombre de canaux necessaires pour une correction adequate, les procedures statistiques les plus appropriees pour l'estimation des coefficients de correction, et la distinction entre les erreurs dues a l'estimation des coefficients et celles qui sont liees a la correction de phase. Enfin, nous decrivons egalement un algorithme de correction qui tache de minimiser les differents problemes souleves.


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