脳波モデルを用いた視覚誘発電位の振幅推定と特徴解析 (MEとバイオサイバネティックス)  [in Japanese] Amplitude Estimation of Visual Evoked Potentials and its Analysis by Use of EEG Model  [in Japanese]

Author(s)

Abstract

視覚刺激を用いた脳機能解析では,視覚誘発電位(VEP)の特徴とともに,視覚刺激時の背景脳波活動(主に後頭部優位律動)変化を捉えるものがある.しかし,VEPと背景脳波活動の成分が重畳する場合には,両者の成分が正確に得られないことが起こりうる.我々はこれまでに,脳波モデルを用いてパワースペクトル上のVEPと背景脳波活動の振幅を推定する方法を提案してきた.本研究では,実データに対して提案法を適用し,その有効性を検討した.提案法は,背景脳波活動成分とVEP成分が重畳する場合でも両者の振幅を正確に推定する有効な手段である.

Visual evoked potentials (VEPs) are the electrical response of the brain which reflects the visual information processing. Feature extraction of background EEG activity during the visual stimulation is also one of significant items in VEP analysis. In that case, separation of VEP component and background EEG component (mainly posterior dominant rhythm) is crucial. In the past, the method for estimating both amplitude of VEP and dominant rhythm by use of EEG model has been proposed. This present study, the proposed method was applied to actual recorded VEP data and its effectiveness was evaluated. Usefulness of the proposed method was investigated by comparing the conventional power spectrum averaging method. The proposed method will be applicable to show an accurate VEP analysis and characteristic analysis of background activity under visual stimulus.

Journal

  • IEICE technical report. ME and bio cybernetics

    IEICE technical report. ME and bio cybernetics 113(409), 57-60, 2014-01-24

    The Institute of Electronics, Information and Communication Engineers

Codes

  • NII Article ID (NAID)
    110009822159
  • NII NACSIS-CAT ID (NCID)
    AN1001320X
  • Text Lang
    JPN
  • ISSN
    0913-5685
  • NDL Article ID
    025278698
  • NDL Call No.
    Z16-940
  • Data Source
    NDL  NII-ELS 
Page Top