Investigation and comparison of some models for removing ocular artefacts from EEG signals

Ifeachor, Emmanuel; Jervis, B.W.; Allen, Elizabeth S.; Morris, E.L.; Wright, David; Hudson, N.R.

doi:10.1007/bf02447496

Cited by 9 publications

(4 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, the breathing, or the sweating can generate artifacts. It is possible to remove artifacts both in time and frequency domains, but the best solution should be to avoid their occurrence [21,22].…”

Section: Fig 1: Change Of Cornea and Retina Electric Dipolementioning

confidence: 99%

A Matlab-Based Gui for Remote Electrooculography Visual Examination

Stula¹,

Proto²,

Kubíček

et al. 2021

Clin Tech

View full text Add to dashboard Cite

In this work, a MATLAB-based graphical user interface is proposed for the visual examination of several eye movements. The proposed solution is algorithm-based, which localizes the area of the eye movement, removes artifacts, and calculates the view trajectory in terms of direction and orb deviation. To compute the algorithm, a five-electrode configuration is needed. The goodness of the proposed MATLAB-based graphical user interface has been validated, at the Clinic of Child Neurology of University Hospital of Ostrava, through the EEG Wave Program, which was considered as “gold standard” test. The proposed solution can help physicians on studying cerebral diseases, or to be used for the development of human-machine interfaces useful for the improvement of the digital era that surrounds us today.

show abstract

Section: Fig 1: Change Of Cornea and Retina Electric Dipolementioning

confidence: 99%

A Matlab-Based Gui for Remote Electrooculography Visual Examination

Stula¹,

Proto²,

Kubíček

et al. 2021

Clin Tech

View full text Add to dashboard Cite

show abstract

“…In the EOG subtraction method [9,15] the ocular artefact OA in an EEG signal is represented by a linear model of the form: of electrodes placed around the eyes, and the y i are parameters of the model. The vector, EEG M , of measured EEG signals containing ocular artefacts can then be represented in terms of EEG T , the true EEG, as:…”

Section: Theory Of Ocular Artefact Removalmentioning

confidence: 99%

“…It is shown in [15] that the least squares estimates for the y i , are given by the solution of the linear equations:…”

Section: Theory Of Ocular Artefact Removalmentioning

confidence: 99%

Online removal of ocular artefacts from the electroencephalogram

Jervis

García²,

Thomlinson

et al. 2004

IEE Proceedings - Science, Measurement and Technology

View full text Add to dashboard Cite

Abstract:A method by which ocular artefacts (OAs) in the electroencephalogram (EEG) may be removed automatically online by electro-oculogram (EOG) subtraction is demonstrated. This is achieved by a combination of recursively calculating the required cross-correlations, a fast matrix inversion method, and the use of a modern microprocessor with a high clock rate. Although recursive calculations are involved, the method itself is essentially non-recursive, which means that distortion of any evoked potentials is minimised. The method may be applied simultaneously to any number of EEG channels.

show abstract

“…Additional tests for validity may comprise residual variance or multiple correlation measures [19] and/or comparison of time-locked averages of raw and corrected EEG data (e.g. synchronized to the R-wave of the ECG).…”

Section: Artifact Minimizationmentioning

confidence: 99%

Artifact Processing in Computerized Analysis of Sleep EEG – A Review

Anderer¹,

Roberts²,

Schlögl³

et al. 1999

Neuropsychobiology

139

View full text Add to dashboard Cite

Quantitative analysis of sleep EEG data can provide valuable additional information in sleep research. However, analysis of data contaminated by artifacts can lead to spurious results. Thus, the first step in realizing an automatic sleep analysis system is the implementation of a reliable and valid artifact processing strategy. This strategy should include: (1) high-quality recording techniques in order to minimize the occurrence of avoidable artifacts (e.g. technical artifacts); (2) artifact minimization procedures in order to minimize the loss of data by estimating the contribution of different artifacts in the EEG recordings, thus allowing the calculation of the ‘corrected’ EEG (e.g. ocular and ECG interference), and finally (3) artifact identification procedures in order to define epochs contaminated by remaining artifacts (e.g. movement and muscle artifacts). Therefore, after a short description of the types of artifacts in the sleep EEG and some typical examples obtained in different sleep stages, artifact minimization and identification procedures will be reviewed.

show abstract

Investigation and comparison of some models for removing ocular artefacts from EEG signals

Cited by 9 publications

References 10 publications

A Matlab-Based Gui for Remote Electrooculography Visual Examination

A Matlab-Based Gui for Remote Electrooculography Visual Examination

Online removal of ocular artefacts from the electroencephalogram

Artifact Processing in Computerized Analysis of Sleep EEG – A Review

Contact Info

Product

Resources

About