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독립성분 분석기법에 의한 집중 상태 뇌파의 주파수 요소 특성

Other Titles
 Features of EEG Signal during Attentional Status by Independent Component Analysis in Frequency-Domain 
 김병남  ;  유선국 
 Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지), Vol.15(4) : 2170-2178, 2014 
Journal Title
 Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지) 
Issue Date
Attention ; Electroencephalogram(EEG) ; Event-Related Potential(ERP) ; Independent Component Analysis(ICA)
In this paper, electroencephalographic (EEG) signal of one among subjects measured biosignal with visual evoked stimuli inducing the concentration was analyzed to detect the changes in the attention status during attention task fulfillment from January to February, 2011. The independent component analysis (ICA) was applied to EEG signals to isolate the attention related innate source signal within the brain and Electroculogram (EOG) artifact from measured EEG signals at the scalp. The consecutive accumulation of short time Fourier transformed (STFT) attention source signal with excluded EOG artifact can enhance the regular depiction of EPOCH graph and spectral color map representing time-varying pattern. The extracted attention indices associated with somatosensory rhythm (SMR: 12-15 Hz), and theta wave (4-7 Hz) increase marginally over time. Throughout experimental observation, the ICA with STFT can be used for the assessment of participants' status of attention.
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Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers
Yonsei Authors
Kim, Byeong Nam(김병남) ORCID logo https://orcid.org/0000-0003-2718-8616
Yoo, Sun Kook(유선국) ORCID logo https://orcid.org/0000-0002-6032-4686
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