2017
DOI: 10.1016/j.jneumeth.2017.08.031
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Removing eye blink artefacts from EEG—A single-channel physiology-based method

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Cited by 33 publications
(17 citation statements)
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“…The EEG data were analyzed using custom software written in Visual Basic 6. The data were down-sampled to 128 Hz and submitted to a 3-point running mean as a low pass filter (effective 46 Hz cut off) and then submitted to an automated procedure for eye blink removal, based on the ballistic components of the eye blink, which left residual EEG ( Zhang et al, 2017 ).…”
Section: Methodsmentioning
confidence: 99%
“…The EEG data were analyzed using custom software written in Visual Basic 6. The data were down-sampled to 128 Hz and submitted to a 3-point running mean as a low pass filter (effective 46 Hz cut off) and then submitted to an automated procedure for eye blink removal, based on the ballistic components of the eye blink, which left residual EEG ( Zhang et al, 2017 ).…”
Section: Methodsmentioning
confidence: 99%
“…Ocular artifacts in the EEG were removed automatically by fitting a template to the ballistic components of eye blinks recorded on Fp1 (Zhang et al, 2017) and then removal of the fitted components from each channel scaled via linear regression (Gratton, 1998). Remaining artifacts were removed manually by deletion and were replaced with missing data markers.…”
Section: Eeg Processingmentioning
confidence: 99%
“…The raw data (128 Hz) were first low pass filtered (using a 3-point running mean, effective cut-off 43 Hz) to remove residual high frequency noise. Eye blink artefacts were removed by first fitting a ballistic template to Fp1 (Zhang et al, 2017) and then removing the fitted component from each channel after scaling with conventional least squares regression (Gratton, 1998) to leave residual EEG. Remaining artefacts associated with eye blinks, movement, etc.…”
Section: Eeg Data Analysismentioning
confidence: 99%