2000
DOI: 10.1111/1469-8986.3720163
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Removing electroencephalographic artifacts by blind source separation

Abstract: Eye movements, eye blinks, cardiac signals, muscle noise, and line noise present serious problems for electroencephalographic (EEG) interpretation and analysis when rejecting contaminated EEG segments results in an unacceptable data loss. Many methods have been proposed to remove artifacts from EEG recordings, especially those arising from eye movements and blinks. Often regression in the time or frequency domain is performed on parallel EEG and electrooculographic (EOG) recordings to derive parameters charact… Show more

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Cited by 2,395 publications
(532 citation statements)
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“…1997; Jung et al. 2000). Individual concatenated single‐trial epochs were decomposed with Infomax ICA.…”
Section: Methodsmentioning
confidence: 99%
“…1997; Jung et al. 2000). Individual concatenated single‐trial epochs were decomposed with Infomax ICA.…”
Section: Methodsmentioning
confidence: 99%
“…Epochs containing eye blinks or movements (VEOG or HEOG exceeding 670 mV) around target onset (6200 ms), voltages exceeding 6150 mV or gradients exceeding 650 mV were rejected. Remaining ocular artifacts were removed using Independent Component Analysis (Jung et al, 2000). After this procedure, six participants had to be excluded, because they had fewer than 40 trials per within condition.…”
Section: Eeg Recording and Analysismentioning
confidence: 99%
“…Current EEG systems can have as few as four electrodes [11] or as many as 256 electrodes. Until recently, the use of EEG has been limited to stationary settings (i.e., settings where the subject is seated or prone) because of the susceptibility of EEG electrodes to movement and electromyographic artifacts [12][13][14]. However, we have recently demonstrated that these artifacts can be removed from high-density (256-channel) EEG using advanced computational methods; thus enabling the use of EEG during walking [15][16][17].…”
Section: Introductionmentioning
confidence: 99%