Literature DB >> 9922084

EOG correction: a new aligned-artifact average solution.

R J Croft1, R J Barry.   

Abstract

OBJECTIVE: In the field of EOG correction, discrepancies have been found between the propagation rates for different types and frequencies of eye movement. However, Croft and Barry demonstrated that these differences can be explained by the affect of EOG magnitude on the correction procedure (Croft, R.J. and Barry, R.J. EOG correction: a new perspective. Electroenceph. clin. Neurophysiol., 1998, 107: 387-394). This study utilized a new 'aligned-artifact average' technique (AAA) to examine whether propagation is constant across eye movement types and frequencies, and tested the AAA as an EOG correction tool.
METHODS: Two experiments manipulated interference levels in real data sets to determine if interference affected propagation coefficients (Bs). The third tested real data for the effect of forward propagation of eye movement related neural potentials on Bs, and the fourth utilized computer simulations to assess the effectiveness of the new AAA correction procedure.
RESULTS: Interference was found to inflate B at low EOG amplitude, and its removal removed B variation and inflation. The forward propagation of eye movement related neural potentials had very little effect on B. The AAA procedure produced near perfect corrections of the simulated data, superior to a comparison method.
CONCLUSIONS: EOG propagation is constant across eye movement types and frequencies, and thus only one correction coefficient should be calculated and applied to data. The AAA method provides a more accurate correction and makes possible, for the first time, the adequate correction of posterior sites.

Mesh:

Year:  1998        PMID: 9922084     DOI: 10.1016/s0013-4694(98)00087-x

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


  8 in total

1.  ERP correlates of response inhibition after-effects in the stop signal task.

Authors:  Daniel J Upton; Peter G Enticott; Rodney J Croft; Nicholas R Cooper; Paul B Fitzgerald
Journal:  Exp Brain Res       Date:  2010-09-28       Impact factor: 1.972

2.  Direction and viewing area-sensitive influence of EOG artifacts revealed in the EEG topographic pattern analysis.

Authors:  Guangyi Ai; Naoyuki Sato; Balbir Singh; Hiroaki Wagatsuma
Journal:  Cogn Neurodyn       Date:  2016-03-04       Impact factor: 5.082

3.  Hybrid EEG--Eye Tracker: Automatic Identification and Removal of Eye Movement and Blink Artifacts from Electroencephalographic Signal.

Authors:  Malik M Naeem Mannan; Shinjung Kim; Myung Yung Jeong; M Ahmad Kamran
Journal:  Sensors (Basel)       Date:  2016-02-19       Impact factor: 3.576

4.  Electrophysiological Brain-Cardiac Coupling in Train Drivers during Monotonous Driving.

Authors:  Ty Lees; Taryn Chalmers; David Burton; Eugene Zilberg; Thomas Penzel; Shail Lal; Sara Lal
Journal:  Int J Environ Res Public Health       Date:  2021-04-02       Impact factor: 3.390

5.  Combining EEG and eye tracking: identification, characterization, and correction of eye movement artifacts in electroencephalographic data.

Authors:  Michael Plöchl; José P Ossandón; Peter König
Journal:  Front Hum Neurosci       Date:  2012-10-09       Impact factor: 3.169

6.  The correction of eye blink artefacts in the EEG: a comparison of two prominent methods.

Authors:  Sven Hoffmann; Michael Falkenstein
Journal:  PLoS One       Date:  2008-08-20       Impact factor: 3.240

7.  Predictors of Neurocognitive Syndromes in Combat Veterans.

Authors:  Michael J Roy; Michelle Costanzo; Jessica Gill; Suzanne Leaman; Wendy Law; Rochelle Ndiongue; Patricia Taylor; Hyung-Suk Kim; Gayle S Bieler; Nikhil Garge; Paul E Rapp; David Keyser; Dominic Nathan; Michael Xydakis; Dzung Pham; Eric Wassermann
Journal:  Cureus       Date:  2015-07-30

8.  Hybrid ICA-Regression: Automatic Identification and Removal of Ocular Artifacts from Electroencephalographic Signals.

Authors:  Malik M Naeem Mannan; Myung Y Jeong; Muhammad A Kamran
Journal:  Front Hum Neurosci       Date:  2016-05-03       Impact factor: 3.169

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.