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Literature DB >> 78802

A spectral method for removing eye movement artifacts from the EEG.

Abstract

A frequency-domain technique for compensating for eye artifacts in mid-line scalp EEG when power spectra are to be calculated is reported. It has been tested in 12 subjects during voluntary and random eye movements. The method which involves calculating the ratio of EEG and EOG spectra adequately controls for low-frequency components in the EEG due to eye artifacts and allows recovery of the dominant peaks in the scalp EEG spectrum.

Mesh：

Year: 1978 PMID： 78802 DOI： 10.1016/0013-4694(78)90208-0

Source DB: PubMed Journal: Electroencephalogr Clin Neurophysiol ISSN： 0013-4694

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Cited

12 in total

1. Analysis and visualization of single-trial event-related potentials.

Authors: T P Jung; S Makeig; M Westerfield; J Townsend; E Courchesne; T J Sejnowski
Journal: Hum Brain Mapp Date: 2001-11 Impact factor: 5.038

2. Removal of ocular artifacts from electro-encephalogram by adaptive filtering.

Authors: P He; G Wilson; C Russell
Journal: Med Biol Eng Comput Date: 2004-05 Impact factor: 2.602

3. A novel approach to the detection of synchronisation in EEG based on empirical mode decomposition.

Authors: C M Sweeney-Reed; S J Nasuto
Journal: J Comput Neurosci Date: 2007-02-02 Impact factor: 1.621

Review 4. The removal of ocular artefacts from the electroencephalogram: a review.

Authors: B W Jervis; E C Ifeachor; E M Allen
Journal: Med Biol Eng Comput Date: 1988-01 Impact factor: 2.602

5. Investigation and comparison of some models for removing ocular artefacts from EEG signals. Part 2. Quantitative and pictorial comparison of models.

Authors: E C Ifeachor; B W Jervis; E M Allen; E L Morris; D E Wright; N R Hudson
Journal: Med Biol Eng Comput Date: 1988-11 Impact factor: 2.602

A spectral method for removing eye movement artifacts from the EEG.

1. Analysis and visualization of single-trial event-related potentials.

2. Removal of ocular artifacts from electro-encephalogram by adaptive filtering.

3. A novel approach to the detection of synchronisation in EEG based on empirical mode decomposition.

Review 4. The removal of ocular artefacts from the electroencephalogram: a review.

5. Investigation and comparison of some models for removing ocular artefacts from EEG signals. Part 2. Quantitative and pictorial comparison of models.

6. New online method for removing ocular artefacts from EEG signals.

7. Ocular artifacts in recording EEGs and event-related potentials. II: Source dipoles and source components.

8. On auditory evoked potentials and heart rate in man during whole-body vibration.

9. Digital filtering of physiological signals with minimal distortion.

10. Mutual-information-based approach for neural connectivity during self-paced finger lifting task.