Magnetocardiography Current Source Estimation using Multiple Spatial Filters

DOI Web Site Web Site 参考文献3件
  • Kobayashi K.
    Faculty of Science and Engineering, Iwate Univ.
  • Iwai M.
    Faculty of Science and Engineering, Iwate Univ.
  • Ono Y.
    Faculty of Science and Engineering, Iwate Univ.
  • Sun W.
    Faculty of Engineering, Kindai Univ.
  • Sugimachi M.
    National Cerebral and Cardiovascular Center Research Institute
  • Kusano K.
    National Cerebral and Cardiovascular Center Research Institute
  • Shishido T.
    National Cerebral and Cardiovascular Center Research Institute

この論文をさがす

抄録

<p>  In this study, cardiac current source localization was simulated using the spatial filter method. We estimated current sources using data from two measurement surfaces, i.e., the front and back of the subject, to reduce the large spatial extension in the depth direction. Three methods for creating spatial filters were developed using the exact low-resolution brain electromagnetic tomography method based on different creation procedures. The first method is a general method that has been conventionally used to create a spatial filter (64ch spatial filter) using a 64ch sensor on the front side. The second method is to create a spatial filter (128ch spatial filter) using two 64ch sensors on the front and back sides as a 128ch sensor. The third method is to create two spatial filters separately and use them as one spatial filter (2 × 64ch spatial filter). In this case, different Tikhonov regularization parameters can be determined on the front and back sides, and optimum noise immunity can be given to each. The accuracy of the estimated current sources using the three types of spatial filters was examined using simulation and MCG data. The results show that the 2 × 64 spatial filter has the highest estimation accuracy and suppresses the large spatial extension of the estimated current sources.</p>

収録刊行物

参考文献 (3)*注記

もっと見る

関連プロジェクト

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ