Real-time ICA-based artifact correction of EEG data recorded during functional MRI
Ahmad Mayeli1,2, Vadim Zotev1, Hazem Refai2, and Jerzy Bodurka1,3
1Laureate Institute for Brain Research, Tulsa, OK, United States, 2Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK, United States, 3College of Engineering, University of Oklahoma, Tulsa, OK, United States
EEG signals during fMRI acquisition
result EEG signals contamination from imaging and BCG artifacts in addition to other
types of artifacts. In this abstract we introduced a novel method for detecting
and reducing artifacts using second order blind separation in real time. The
algorithm was tested on EEG signals from 12 subjects and it has proven
successful for reducing various types of artifacts. The proposed algorithm can
be applied in real time after the average artifact subtraction of imaging and BCG
artifacts for various applications that require a real-time EEG & fMRI system.
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