Extended ICA Removes Artifacts from Electroencephalographic Recordings (1997)
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BibTeX
@MISC{Jung97extendedica,
author = {Tzyy-Ping Jung and Colin Humphries and Te-won Lee and Scott Makeig and Martin J. Mckeown and Vicente Iragui and Terrence J. Sejnowski},
title = {Extended ICA Removes Artifacts from Electroencephalographic Recordings},
year = {1997}
}
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Abstract
Severe contamination of electroencephalographic (EEG) activity by eye movements, blinks, muscle, heart and line noise is a serious problem for EEG interpretation and analysis. Rejecting contaminated EEG segments results in a considerable loss of information and may be impractical for clinical data. Many methods have been proposed to remove eye movement and blink artifacts from EEG recordings. Often regression in the time or frequency domain is performed on simultaneous EEG and electrooculographic (EOG) recordings to derive parameters characterizing the appearance and spread of EOG artifacts in the EEG channels. However, EOG records also contain brain signals [1, 2], so regressing out EOG activity inevitably involves subtracting a portion of the relevant EEG signal from each recording as well. Regression cannot be used to remove muscle noise or line noise, since these have no reference channels. Here, we propose a new and generally applicable method for removing a wide variety of artifa...
Keyphrases
ica remove artifact electroencephalographic recording eye movement line noise eeg channel serious problem severe contamination blink artifact simultaneous eeg derive parameter many method clinical data eog activity often regression frequency domain brain signal eeg interpretation eeg recording eog artifact regression cannot reference channel muscle noise considerable loss contaminated eeg segment result wide variety applicable method relevant eeg signal eog record
