Decomposition of VEP and dominant rhythm components during photic stimulation by use of EEG model

T. Sugi, S. Tsuchiya, S. Nishida, Y. Goto, S. Tobimatsu, M. Nakamura

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

Dominant rhythm in electroencephalographic (EEG) records is seen at the posterior to occipital region as a primary component of background activity during waking state with closed eyes and is decreased or disappeared by the exogenous factors such as visual stimuli to eyes and so on. Visual evoked potential (VEP) can also be seen in EEG at the posterior to occipital regions during photic stimulation (PS). Frequency components of VEP are depended upon the frequency of stimuli and that of dominant rhythm in case of healthy adult is around 10 Hz. Therefore, components of VEP and dominant rhythm are almost overlapped when the frequency of photo stimuli is near around 10 Hz. VEP component can be extracted from the background activity by using the averaging method, but the accurate estimation of dominant rhythm component in such condition has difficulties due to the overlapping of both components in frequency domain. Some of the authors have proposed the EEG model with Markov process amplitude (MPA EEG model) in the past. The MPA EEG model has possibilities to separate the components that construct the original EEG into each one in the frequency domain. In this study, component decomposition of VEP and dominant rhythm of recorded EEG was done by using the MPA EEG model. EEGs with PS were recorded from three healthy young adults. Five seconds continuous EEG time series with PS and without PS were selected from the original data, and were transferred to the periodogram information by the FFT method. Then, the model parameters were calculated. The initial values of model parameters were determined from the periodogram of raw EEG during PS, and were optimized by Fletcher-Powell method. In the original data under PS with 10 Hz, VEP component and dominant rhythm component were overlapped each other. Proposed method decomposed the original data into five components; first harmonic VEP, second harmonic VEP, dominant rhythm, slower noise and others. Characteristics for the depression of dominant rhythm and the amplitude of VEP were quantitatively analyzed from the decomposed component by the MPA EEG model. Effectiveness of the proposed decomposition method was also investigated.

本文言語英語
ホスト出版物のタイトル2009 ICME International Conference on Complex Medical Engineering, CME 2009
DOI
出版ステータス出版済み - 2009
イベント2009 ICME International Conference on Complex Medical Engineering, CME 2009 - Tempe, AZ, 米国
継続期間: 4 9 20094 11 2009

出版物シリーズ

名前2009 ICME International Conference on Complex Medical Engineering, CME 2009

その他

その他2009 ICME International Conference on Complex Medical Engineering, CME 2009
国/地域米国
CityTempe, AZ
Period4/9/094/11/09

All Science Journal Classification (ASJC) codes

  • 生体医工学
  • 健康情報学

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