A pulse artifact removal method considering artifact variations in the simultaneous recording of EEG and fMRI.
A simultaneous recording of electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) can provide high spatiotemporal information of brain activity. However, a proper analysis of the EEG signals is often hindered by various artifacts. In particular, pulse artifact (PA) induced from the heartbeat of a subject interferes with reliable measurements of the EEG signal. A new PA removal method that takes into account the delay variation between the heartbeat and PA and the window size variation in PA is presented in order to improve the detection and suppression of PA in EEG signals. A PA is classified into either a normal PA or a deformed PA. Only normal PAs are averaged to generate a PA template that is used to remove PAs from the measured EEG signals. The performance of the proposed method was evaluated by simulated data and real EEG measurements from epilepsy patients. The results are compared with those from conventional methods.
Department of Electrical Engineering, Korean Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.
Sung Suk
SS
Oh
Department of Electrical Engineering, Korean Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea; Department of Biomedical Engineering, College of Health Science, Gachon University, Incheon, Republic of Korea.
Yeji
Y
Han
Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.
Jongho
J
Lee
Department of Electrical Engineering, Korean Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Seong Dae
SD
Yun
Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Joong Koo
JK
Kang
Department of Neurology, University of Ulsan College of Medicine, Ulsan University Hospital, Ulsan, Republic of Korea.
Eun Mi
EM
Lee
Department of Art Therapy, Daegu Cyber University, Daegu, Republic of Korea.
Hyo Woon
HW
Yoon
Department of Biomedical Engineering, College of Health Science, Gachon University, Incheon, Republic of Korea. Electronic address: jychung@gachon.ac.kr.
Jun-Young
JY
Chung
Department of Electrical Engineering, Korean Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea. Electronic address: hwpark@kaist.ac.kr.
HyunWook
H
Park
D000328:Adult; D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000502:physiology; D001931:Brain Mapping; D003198:Computer Simulation; D004569:Electroencephalography; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D011674:Pulse; D055815:Young Adult
Individual delay and window size; Intractable partial epilepsy patients; Pulse artifact (PA); Simultaneous EEG and fMRI