Meeting Banner
Abstract #0810

Comparison of Ballistocardiac Artifact Removal Algorithms for Detection of IED

Sung Suk Oh1, Yeji Han1, Joong Koo Kang2, Eun Mi Lee2, HyunWook Park1

1Electrical Engineering, KAIST, Daejeon, Korea, Republic of; 2Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea, Republic of

A simultaneous recording of electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) is an effective method for epilepsy diagnosis. Using the temporal information of interictal epileptiform discharge (IED) detected in the EEG signal, the brain region related to the epilepsy can be detected with high spatial resolution in the fMRI data. To detect the IEDs more accurately, however, the measured EEG signal is analyzed after removing the ballistocardiac artifact (BA), which is induced by subjects heartbeat in a high magnetic field. In this study, three different BA removal methods, such as AAAS (advanced average artifact subtraction [1]), OBS (optimal basis set [2]), and ICA (independent component analysis [3]), were applied to the epilepsy data and their performances were evaluated in terms of preservation and restoration of the IED shapes.