Abstract #3945
Ballistocardiogram artefact correction taking into account background physiological signal preservation in simultaneous EEG-fMRI
Rodolfo Abreu 1 , Marco Leite 1,2 , Alberto Leal 3 , and Patrcia Figueiredo 1
1
Institute for Systems and Robotics and
Department of Bioengineering, Instituto Superior
Tcnico, Universidade de Lisboa, Lisbon, Portugal,
2
Department
of Clinical and Experimental Epilepsy and The Wellcome
Trust Centre for Neuroimaging, University College London
Institute of Neurology, Queen Square, London WC1N 3BG,
United Kingdom,
3
Centro
de Investigao e Interveno Social and Department of
Neurophysiology, Centro Hospitalar Psiquitrico de
Lisboa, Lisbon, Portugal
Ballistocardiogram artefact (BCG) seriously compromises
EEG data quality when simultaneously-acquired with fMRI.
Here, we propose a novel ICA-based approach (PROJIC) for
BCG artefact correction as well as a novel evaluation
pipeline that assesses both artefact and background
signal removal. The proposed evaluation pipeline for BCG
artefact correction allowed different weightings of the
importance of removing the artefact against preserving
the signal background, showing that different methods
may be preferred in different situations. The proposed
ICA-based approaches outperformed both previous
ICA-based methods as well as the Optimal Basis Sets
(OBS) approach, in all conditions.
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