Ballistocardiac artifact removal from EEG recorded in fMRI and its application to the epileptic interictal spike = 뇌기능 자기공명 영상과 뇌전도의 심전도 잡음 제거 방법과 이의 간질 발작간 극파에 대한 응용

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The simultaneous recording of electroencephalogram (EEG) and functional magnetic resonance image (fMRI) has been used to provide high spatiotemporal information related to the brain mapping. However, artifacts induced during the simultaneous recording of EEG and fMRI interrupt the analysis of signals in the EEG channels. Especially, ballistocardiogram (BCG) induced by the heart beat of the subjects causes artifacts in all EEG channels and makes it difficult to measure and interpret the EEG signals. We propose an artifact removal algorithm using adaptive window size and individual delay. Once the adaptive window size for the averaged ballistocardiac artifacts (BA) and the individual delay between the peak in QRS complex of the electrocardiogram (EKG) signal and the BA in the EEG signal are determined, the averaged BA is subtracted according to the classification result of the BAs. The performance of the algorithm has been evaluated using the simulation data and the actual epilepsy experimental data.
Advisors
Lee, Soo-YoungresearcherPark, Hyun-Wookresearcher이수영researcher박현욱researcher
Description
한국과학기술원 : 바이오시스템학과,
Publisher
한국과학기술원
Issue Date
2006
Identifier
255487/325007  / 020033926
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 바이오시스템학과, 2006.2, [ vi, 49 p. ]

Keywords

Classification result of BAs; Individual delay; Simultaneous EEG/fMRI; 적응 윈도우 크기; 심전도 잡음; 심전도 잡음 분류; 개개의 시간차; 뇌기능 자기공명 영상과 뇌전도 동시 측정; Adaptive window size; Ballistocardiogram (BCG) artifact

URI
http://hdl.handle.net/10203/27117
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=255487&flag=dissertation
Appears in Collection
BiS-Theses_Master(석사논문)
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