Abstract #3549

Suppressing the ballistocardiography artifacts on EEG collected inside MRI using the dynamic modeling on heartbeats

Hsin-Ju Lee^1,2, Hsiang-Yu Yu^3,4,5, Cheng-Chia Lee^4,5,6, Chien-Chen Chou^3,4, Chien Chen^3,4, Wen-Jui Kuo^5,7, and Fa-Hsuan Lin^1,2,8

¹Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada, ²Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, ³Department of Epilepsy, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan, ⁴School of Medicine, National Yang-Ming University, Taipei, Taiwan, ⁵Brain Research Center, National Yang-Ming University, Taipei, Taiwan, ⁶Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan, ⁷Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan, ⁸Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland

We developed the dynamic modeling of heartbeats (DMH) method to suppress the ballistocardiography (BCG) artifacts on the electroencephalography (EEG) data collected inside MRI. DMH estimates the instantaneous EEG signals at specific phases in the cardiac cycle by combining EEG signals at those phases in other cardiac cycles showing similar dynamic features. Using both simulations and empirical data at 3T, we demonstrated that the DMH approach can suppress the BCG artifacts more efficiently than Optimal Basis Set (OBS) method in both epilepsy and steady-state visual evoked potential data.

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