Suppressing the ballistocardiography artifacts on EEG collected inside MRI using the dynamic modeling on heartbeats
Hsin-Ju Lee1,2, Hsiang-Yu Yu3,4,5, Cheng-Chia Lee4,5,6, Chien-Chen Chou3,4, Chien Chen3,4, Wen-Jui Kuo5,7, and Fa-Hsuan Lin1,2,8
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
Using
both simulations and empirical data at 3T, we demonstrated that the dynamic modeling of heartbeats (DMH) method can suppress the BCG artifacts on the EEG collected inside MRI more efficiently than Optimal Basis Set method in both epilepsy and steady-state
visual evoked potential data.