Abstract #3773

Real-time ICA-based artifact correction of EEG data recorded during functional MRI

Ahmad Mayeli^1,2, Vadim Zotev¹, Hazem Refai², and Jerzy Bodurka^1,3

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

Recording 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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