ICA-based spatial & temporal filtering for the classification of single-trial EEG = 단일 시도 뇌파의 분류를 위한 독립성분분석에 기반한 시공간 필터링

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The fundamental neurophysiological phenomenon used in a Brain-Computer-Interface is based on the changes of power in the particular local area and frequency bands. To extract feature from the information, spatial and temporal filtering have to be developed effectively. In an attempt to obtain good features, ICA-based feature extraction method is suggested. ICA-based filtering method is operated through two steps. In the first step, spatial area used to classify different imagination is selected. It``s called ICA-based spatial filtering. Then, the signal obtained from each spatial map are bandpass filtered. The selected bands are also obtained from ICA-based filtering. Through the ICA-based spatial and temporal filtering, new coefficients localized in the spatial and temporal aspect can be obtained. If ICA-based filtering is working well, they also represent the neurophysiological characteristic well. In my thesis, the points are denoted. The main advantage of ICA-based filtering is to extract the spatial & temporal component effectively in the even unclear situation. It``s because ICA is unsupervised method and decompose mixed signals into independent component effectively. Particularly, when it``s difficult to select proper frequency band in spectral analysis, using the most supervised temporal filtering is not guaranteed to make good performance. In these aspects, the features from ICA-based filtering coincides neurophysiological knowledge, and also makes good performance.
Advisors
Lee, Soo-Youngresearcher이수영researcher
Description
한국과학기술원 : 바이오시스템학과,
Publisher
한국과학기술원
Issue Date
2007
Identifier
264225/325007  / 020053420
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 바이오시스템학과, 2007.2, [ viii, 54 p. ]

Keywords

independent component analysis; brain-computer-interface; feature extraction; 특징추출; 독립성분분석; 뇌-컴퓨터-인터페이스

URI
http://hdl.handle.net/10203/27137
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=264225&flag=dissertation
Appears in Collection
BiS-Theses_Master(석사논문)
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