Proceedings of the 12th International Conference on Biomagnetism (Biomag2000)

著者:

  • Shigeki Kajihara
  • Keisuke Toyama
  • Shiro Ikeda
  • Noboru Murata
  • Tatsuya Kobayashi
  • Yoshihisa Kida
  • Yoshikazu Yoshida

Abstract:

Independent component analysis (ICA) is a way to resolve signals into independent components based on the statistical characteristics of the signals. Magnetoencephalograms (MEGs) containing the brain signals as well as the noise from various sources such as the electrocardiograms (ECG), electromyograms, the earth magnetism and the device noises which are mutually independent may be as appropriate target for ICA. We applied ICA to the epileptic and the visual evoked fields (VEF) for separation of noise and signal components.