The assessment of two methods for removing eye movement artefact from the EEG

Jervis, B.W.; Nichols, Martin J.; Allen, Elizabeth S.; Hudson, N.R.; Johnson, Terry E.

doi:10.1016/0013-4694(85)91037-5

Cited by 74 publications

(27 citation statements)

References 12 publications

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“…Recordings contaminated by eye blinks (rejection criterion of 70 µV in eye channels) were rejected and automatic eye-movement correction was conducted on the remaining segments (Jervis et al, 1985). In line with previous studies (e.g.…”

Section: Eeg Acquisition and Analysismentioning

confidence: 97%

Sex hormonal modulation of interhemispheric transfer time

et al. 2013

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Section: Eeg Acquisition and Analysismentioning

confidence: 97%

Sex hormonal modulation of interhemispheric transfer time

et al. 2013

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“…Only the trials on which the subjects responded correctly were included in the analyses. Eye-movement correction was made on all segments using the method of Jervis, Nichols, Allen, Hudson, and Johnson (1985). The corrected data from each subject were then averaged to produce a total of 8 ERPs for each task (4 orientations × 2 discrimination decisions for rotation, and 4 conditions of number of squares carried × 2 discrimination decisions for paper-folding).…”

Section: Erpsmentioning

confidence: 99%

Non-identical neural mechanisms for two types of mental transformation: event-related potentials during mental rotation and mental paper folding

et al. 2003

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Reaction times, accuracy and 128-channel event-related potentials (ERPs) were measured from 14 normal, right-handed subjects while they performed two different parity-judgment tasks that require transformations of mental images: a relatively simple task requiring a single transformation (mental letter rotation), and a more complex task involving a coordinated sequence of transformations (mental paper folding). Reaction times increased monotonically with larger angular displacements from the upright (for mental rotation) and with number of squares carried (for mental paper folding). Both the tasks resulted in amplitude modulation of an approximately 420-700 ms latency ERP component at parietal electrodes. Scalp topographies indicated that right parietal cortex was activated during mental rotation, but bilateral parietal regions were activated during mental paper folding. Our results support the notion of a right hemispheric superiority for tasks involving simple, single mental rotations, but indicate greater involvement of the left hemisphere when a more complex sequence of transformations are required. This task-dependent lability of hemispheric function may account for some of the inconsistent results reported by previous neuroimaging and electrophysiological studies.

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“…If we only consistently estimate the polynomials A(z) and B(z) needed for OAR, we cannot use this method either. Jervis in [36] did present a quantitative method for assessing OAR methods. This method, however, required the subject to perform periodic vertical or horizontal eye movements, which produced rectangular waveforms in the EOG.…”

Section: Evaluating the Performance Of Oar Methodsmentioning

confidence: 99%

EEG ocular artifact removal through ARMAX model system identification using extended least squares

Haas

Frei²,

Osorio³

et al. 2003

Communications in Information and Systems

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Abstract. The removal of ocular artifact from scalp electroencephalograms (EEGs) is of considerable importance for both the automated and visual analysis of underlying brainwave activity. Traditionally, subtraction techniques use linear regression to estimate the influence of eye movements on the electrodes of interest. These methods are based on the assumption that the underlying brainwave activity is uncorrelated when, in general, it is not. Furthermore, regression methods assume that the ocular artifact propagation is frequency independent, i.e. all waveforms of the ocular artifact propagate similarly. In this paper, we examine relaxing these assumptions by using a more general autoregressive (AR) moving average (MA) exogenous (X) model and the extended least squares (ELS) algorithm to remove ocular artifact. We demonstrate that in some cases this general ARMAX model can decrease ocular artifact not removable by standard regression techniques. We also show that the incorporation of a forgetting factor to exponentially weight past data can improve ocular artifact removal even for the traditional subtraction method.

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The assessment of two methods for removing eye movement artefact from the EEG

Cited by 74 publications

References 12 publications

Sex hormonal modulation of interhemispheric transfer time

Sex hormonal modulation of interhemispheric transfer time

Non-identical neural mechanisms for two types of mental transformation: event-related potentials during mental rotation and mental paper folding

EEG ocular artifact removal through ARMAX model system identification using extended least squares

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