Extended ICA Removes Artifacts from Electroencephalographic Recordings

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 imLractical for clinical data. Manv 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 [I, 21, so regressing out EOG activity inevitably involvessubtracting 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 varietv of a...

• Type: Conference
• Year: 1997
• Where: NIPS
• Authors: Tzyy-Ping Jung, Colin Humphries, Te-Won Lee, Scott Makeig, Martin J. McKeown, Vicente Iragui, Terrence J. Sejnowski
• Keywords: EEG Interpretation, EEG Recordings, EEG Records, NIPS 1997, NIPS 2007